11+ XGBoost Jobs in Pune | XGBoost Job openings in Pune
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Pune, Bengaluru (Bangalore)
6 - 8 yrs
₹15L - ₹25L / yr
Data Science
Machine Learning (ML)Natural Language Processing (NLP)
Computer Vision
Artificial Intelligence (AI)
+6 more
Company Profile
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Read more
Pune, Chennai
5 - 12 yrs
₹6L - ₹25L / yr
Mainframe
cobol
JCL
DB2
Role: Mainframe Developer
Skill Set: Mainframe, COBOL, JCL, DB2
Years of exp: 5 to 12 yrs
Location: Pune , Chennai
Mode of work: WFO
Job Description:
A mid-senior level Mainframe lead with 4 to 8 years of hands on experienced on COBOL Programming, JCL and DB2 Coding and processing, to deliver a critical project for one of our biggest clients in banking domain. The Individual should be passionate about technology, experienced in developing and managing cutting edge technology applications.
Technical Skills:
- An excellent techie with strong hands-on experience in COBOL, JCL and DB2 knowledge.
- Preferably, good exposure to Mainframe to distributed migration project.
- A master of DB2
- Should have good analytical and development skill on Cobol programming and JCL
- Capable of analyzing requirements and develop software as per project defined software process
- Develop and peer review of LLD (Initiate/ participate in peer reviews)
- Should have good writing and verbal communication skills
Read more
Pune, Chennai
3 - 7 yrs
₹3L - ₹12L / yr
VisionPLUS
Content Management System (CMS)
FAS
Loan origination
TRAMS
+3 more
Requirements
- Banking domain, cards area (Credit, debit and prepaid)
- Excellent understanding of Cards and payments technologies
- Know-how of process mapping, requirement gathering, gap analysis, documentation
- Good understanding of following aspects of Vision Plus – CMS, FAS, CDM, TRAMS, Functional understanding of all VisionPLUS blocks, VMXservices, Various reports.
- End to end exposure on testing related activities.
- Experience with mainstream defect tracking tools like JIRA / QC.
- Excellent written and oral communication skills.
- Perform peer review and regular reporting on progress made.
- Must be a very good team player & willing to learn new skills.
- Excellent communication skills.
Read more
Hyderabad, Pune
2 - 6 yrs
₹10L - ₹15L / yr
Windows PowerShell
Powershell
Microsoft SCCM
MSI
MS SQLServer
Professional in Powershell scripting ( 3-5 experience is a must)
SCCM server-side admin
Packaging on windows (NSI)
Familiar with database (MS-SQL)
SCCM server-side admin
Packaging on windows (NSI)
Familiar with database (MS-SQL)
Read more
Pune
2 - 4 yrs
₹12L - ₹15L / yr
JIRA
Project Management
Agile/Scrum
Waterfall
Certified Scrum Master (CSM)
+1 more
Headquartered in Redwood city, CA, our client is a communication and assessment SaaS startup that enables the movement health professional (athletic trainer, physical therapist, recovery specialist) to seamlessly capture and assess patient care data through cutting edge technologies such as machine learning and AI. It improves outcomes for healthcare organisations by identifying early signs of clinical deterioration in chronically-ill patients thereby decreasing hospital admissions and reducing unnecessary spending.
This revolutionary startup has raised $3 Mn in a seed funding round led by top investors. It is all set to democratise the accessibility and affordability of movement health through its full stack digital health platform.
As a Project Manager, you will be responsible for handling multiple projects across domains. You will be coordinating with various stakeholders, planning the timelines and ensuring timely completion of all projects maintaining project margins.
What you will do:
What you will do:
- Handling multiple projects end to end across multiple domains with cross-functional teams (Engineering, Quality, Design, etc)
- Analyzing business requirements preparing project plan ensuring the smooth delivery of projects and day to day project management activities
- Participating in client calls to discuss the nature, urgency and root cause of the problems and appropriately taking decisions in collaboration with clients
- Identifying project roadblocks, risks, and mitigation plan, keeping track of tasks, defects assigned to the team
- Working closely with technical development teams on estimation, technical assessments and setting up backlogs/project plan
- Hosting internal and external customer demos at various points along with managing project status on Project Management tools and collaboration tools
- Identifying scope change and leading efforts to develop, estimate, and communicate budget and schedule impacts
- Working with management on resource allocation, feedback, and process improvements
- Driving prompt resolution of customer issues and ensuring high levels of customer satisfaction
- Selecting appropriate project management approaches (Agile and/or Waterfall) based on customer and project requirements
Desired Candidate Profile
What you need to have:- Bachelor of Technology in Computer Science/ Engineering/ MCA
- 4+ years of experience on Project/Program Management roles working on managing complete development cycle of SaaS products/applications
- Certification in Scrum Master
- Knowledge of Project Management tools such as JIRA
- Software Development or QA Engineer background is a plus
- Ability to transform raw thoughts into clear technical documentation and/or direction
- Problem-solving capabilities with the ability to identify root cause, patience and commitment to solve
- Excellent verbal and written communication, presentation and articulation skills
Read more
Pune
3 - 7 yrs
₹8L - ₹12L / yr
Business Analysis
Business Analyst
UML
Agile/Scrum
visio
+4 more
Become part of a global AI / ML team looking for smart, motivated and dedicated professionals ready to exploit technological possibilities.
Our client is a Europe headquartered AI-Powered process automation pioneer, which is using its intelligent solutions to help organizations handle their documentation, email and chat processes. They have created digital employees or bots, which can be delegated to act as modules to quickly handle repetitive tasks and simplifying these functions. Such automation aims to improve work quality, customer satisfaction, employee productivity and eventually to reshape business goals and performance.
Based out of Norway, and presence in many countries, their solutions are being implemented in various industries ensuring efficient and smarter automation. Within 4 years of its existence, the company has seen 3 times revenue growth and over 100 employees building global and economical solutions and a diverse organisation well prepared for the future.
As a Business Analyst, you will be working with customers, understanding their business processes, and coming up with optimal solution design to automate their front office or back-office processes within BFSI domain.
What you will do:
- Participating in pre-sales meetings to understand customer needs
- Understanding customers process and suggesting effective solutions based on Product portfolio
- Writing functional specifications (high level and detailed)
- Overseeing and taking ownership of the implementation of Digital Employees
- Identifying bottlenecks using various techniques for e.g. lean or design thinking and suggesting improvements/enhancements
- Conducting workshops and training sessions for customers and partners
- Understanding and propagating expectations between the client and the team effectively, and raise timely alarms if things are not going according to the plan
- Advocating new technologies/strategies to all stake holders in the respective project/product
- Assisting software personnel in handling project related work and other requirements
- Working closely with other team members, project managers, and customer to ensure that all requirements are met and work as per specification
Desired Candidate Profile
What you need to have:
- Excellent business understanding in BFSI domain
- 2+ years of experience working as Business analyst (preferably in BFSI domain)
- Must have experience with modelling (UML or similar)
- Must have hands on experience with process flow tools like Visio
- Must have Working experience in Agile methodologies
- Lean/Six sigma certification is a plus
- Should have understanding of project management techniques and computing systems
- Excellent communication skills
- Proactive attitude and like to take initiative
Read more
Pune, Jaipur
2 - 5 yrs
₹5L - ₹8L / yr
PythonSpark
Kubernetes
DockerSQL
+4 more
Position title – Data Engineer
Years of Experience – 2-3 years
Location – Flexible (Pune/Jaipur Preferred), India
Position Summary
At Clarista.io, we are driven to create a connected data world for enterprises, empowering their employees with the information they need to compete in the digital economy. Information is power, but only if it can be harnessed by people.
Clarista turns current enterprise data silos into a ‘Live Data Network’, easy to use, always available, with flexibility to create any analytics with controls to ensure quality and security of the information
Clarista is designed with business teams in mind, hence ensuring performance with large datasets and a superior user experience are critical to the success of the product
What You'll Do
You will be part of our data platform & data engineering team. As part of this agile team, you will work in our cloud native environment and perform following activities to support core product development and client specific projects:
• You will develop the core engineering frameworks for an advanced self-service data analytics product.
• You will work with multiple types of data storage technologies such as relational, blobs, key-value stores, document databases and streaming data sources.
• You will work with latest technologies for data federation with MPP (Massive Parallel Processing) capabilities
• Your work will entail backend architecture to enable product capabilities, data modeling, data queries for UI functionality, data processing for client specific needs and API development for both back-end and front-end data interfaces.
• You will build real-time monitoring dashboards and alerting systems.
• You will integrate our product with other data products through APIs
• You will partner with other team members in understanding the functional / nonfunctional\ business requirements, and translate them into software development tasks
• You will follow the software development best practices in ensuring that the code architecture and quality of code written by you is of high standard, as expected from an enterprise software
• You will be a proactive contributor to team and project discussions
Who you are
• Strong education track record - Bachelors or an advanced degree in Computer Science or a related engineering discipline from Indian Institute of Technology or equivalent premium institute.
• 2-3 years of experience in Big Data and Data Engineering.
• Strong knowledge of advanced SQL, data federation and distributed architectures
• Excellent Python programming skills. Familiarity with Scala and Java are highly preferred
• Strong knowledge and experience in modern and distributed data stack
components such as the Spark, Hive, airflow, Kubernetes, docker etc.
• Experience with cloud environments (AWS, Azure) and native cloud technologies for data storage and data processing
• Experience with relational SQL and NoSQL databases, including Postgres, Blobs, MongoDB etc.
• Experience with data pipeline and workflow management tools: Airflow, Dataflow, Dataproc etc.
• Experience with Big Data processing and performance optimization
• Should know how to write modular and optimized code.
• Should have good knowledge around error handling.
• Fair understanding of responsive design and cross-browser compatibility issues.
• Experience versioning control systems such as GIT
• Strong problem solving and communication skills.
• Self-starter, continuous learner.
Good to have some exposure to
• Start-up experience is highly preferred
• Exposure to any Business Intelligence (BI) tools like Tableau, Dundas, Power BI etc.
• Agile software development methodologies.
• Working in multi-functional, multi-location teams
What You'll Love About Us – Do ask us about these!
• Be an integral part of the founding team. You will work directly with the founder
• Work Life Balance. You can't do a good job if your job is all you do!
• Prepare for the Future. Academy – we are all learners; we are all teachers!
• Diversity & Inclusion. HeForShe!
• Internal Mobility. Grow with us!
• Business knowledge of multiple sectors
Years of Experience – 2-3 years
Location – Flexible (Pune/Jaipur Preferred), India
Position Summary
At Clarista.io, we are driven to create a connected data world for enterprises, empowering their employees with the information they need to compete in the digital economy. Information is power, but only if it can be harnessed by people.
Clarista turns current enterprise data silos into a ‘Live Data Network’, easy to use, always available, with flexibility to create any analytics with controls to ensure quality and security of the information
Clarista is designed with business teams in mind, hence ensuring performance with large datasets and a superior user experience are critical to the success of the product
What You'll Do
You will be part of our data platform & data engineering team. As part of this agile team, you will work in our cloud native environment and perform following activities to support core product development and client specific projects:
• You will develop the core engineering frameworks for an advanced self-service data analytics product.
• You will work with multiple types of data storage technologies such as relational, blobs, key-value stores, document databases and streaming data sources.
• You will work with latest technologies for data federation with MPP (Massive Parallel Processing) capabilities
• Your work will entail backend architecture to enable product capabilities, data modeling, data queries for UI functionality, data processing for client specific needs and API development for both back-end and front-end data interfaces.
• You will build real-time monitoring dashboards and alerting systems.
• You will integrate our product with other data products through APIs
• You will partner with other team members in understanding the functional / nonfunctional\ business requirements, and translate them into software development tasks
• You will follow the software development best practices in ensuring that the code architecture and quality of code written by you is of high standard, as expected from an enterprise software
• You will be a proactive contributor to team and project discussions
Who you are
• Strong education track record - Bachelors or an advanced degree in Computer Science or a related engineering discipline from Indian Institute of Technology or equivalent premium institute.
• 2-3 years of experience in Big Data and Data Engineering.
• Strong knowledge of advanced SQL, data federation and distributed architectures
• Excellent Python programming skills. Familiarity with Scala and Java are highly preferred
• Strong knowledge and experience in modern and distributed data stack
components such as the Spark, Hive, airflow, Kubernetes, docker etc.
• Experience with cloud environments (AWS, Azure) and native cloud technologies for data storage and data processing
• Experience with relational SQL and NoSQL databases, including Postgres, Blobs, MongoDB etc.
• Experience with data pipeline and workflow management tools: Airflow, Dataflow, Dataproc etc.
• Experience with Big Data processing and performance optimization
• Should know how to write modular and optimized code.
• Should have good knowledge around error handling.
• Fair understanding of responsive design and cross-browser compatibility issues.
• Experience versioning control systems such as GIT
• Strong problem solving and communication skills.
• Self-starter, continuous learner.
Good to have some exposure to
• Start-up experience is highly preferred
• Exposure to any Business Intelligence (BI) tools like Tableau, Dundas, Power BI etc.
• Agile software development methodologies.
• Working in multi-functional, multi-location teams
What You'll Love About Us – Do ask us about these!
• Be an integral part of the founding team. You will work directly with the founder
• Work Life Balance. You can't do a good job if your job is all you do!
• Prepare for the Future. Academy – we are all learners; we are all teachers!
• Diversity & Inclusion. HeForShe!
• Internal Mobility. Grow with us!
• Business knowledge of multiple sectors
Read more
Pune
1 - 2 yrs
₹2L - ₹3L / yr
.NET
PHPXamarin
jQuery
Javascript +1 more
Platform/Tech:
> .NET, PHP, Xamarin.Mac, JavaScript What you must have:
> Passion for software engineering & programming
> Attention to detail
> Want to work on a “product” that is used worldwide
> Mission orientation
Read more
Mumbai/Pune/Bangalore/Noida/Chennai/Hyderabad
3 - 10 yrs
₹2L - ₹12L / yr
Oracle EBS
Oracle SCM
Supply Chain Management (SCM)
Order management
Finance
Job location: Mumbai/Pune/Bangalore/Noida/Chennai/Hyderabad
Experience- 3 to 10 years
Skill: Oracle EBS SCM Functional
NP – Immediate to 30 days max
• Mandatory Modules: Inventory, Purchase Order, Order Management.
• Skill: Oracle Supply Chain Management Functional Consultant
• Hands-on experience in Oracle SCM 11i & R12 with good English (Written + Verbal) communication skills, team player, ready to travel / relocate & available at short notice.
• Should have extensively worked on Oracle EBS Support/implementation/upgrade Projects should be aware of the solution design, documentation, and AIM/OUM methodology.
• Expertise in Modules OM, Purchasing, Inventory.
• Industry experience in Supply Chain Industry will be an added advantage.
• Ready to work in Shifts by rotation if required.
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Pune
2 - 6 yrs
₹5L - ₹9L / yr
Software Testing (QA)
Automation
Selenium
Protractor
JavascriptLocation: Pune, Maharashtra, India
We at FlytBase are looking for passionate and hardworking Software QA Automation Engineers to join our rapidly growing team. As a Software QA Automation Engineer, you will be responsible for the planning and implementation of tests that prove the functional and non-functional requirements of the system.
Role and Responsibilities:
- Designing and developing test automation scripts for a MEAN stack application.
- Using test automation guidelines.
- Testing and proving that the software meets major architectural requirements.
- Proving for scalability and performance of a software.
- Ensuring the quality of the system as a whole.
- Supporting the development team and software engineers during the development and testing phase.
- Build tools and frameworks to aid continuous delivery, deployment and debugging.
- Prepare defect reports and report test progress.
Qualifications and Requirements:
- At Least 2 years of experience in Automation Testing or similar role for MEAN stack application
- Experience with Jasmine, Karma, Protractor or similar end-to-end testing tool.
- Excellent knowledge in testing skills (design test plan and test strategy, writing and executing test cases, opening bugs, verifying bugs etc)
- A team player, fast learner with good interpersonal, verbal and written communication skills.
Good to have:
- Experience or keen interest in aerial robots i.e. drones.
What Will I Earn?
This role comes with an annual CTC that is market competitive and depends on the quality of your work experience, degree of professionalism, culture fit and alignment with FlytBase’s long-term business strategy.
Perks:- Fast-paced Startup culture
- Hacker mode environment
- Enthusiastic and approachable team
- Professional autonomy
- Strong meritocracy
- Zero bureaucracy
- Company-wide sense of purpose
- Flexible work hours
- Informal dress code
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Pune
3 - 6 yrs
₹6L - ₹12L / yr
NodeJS (Node.js)RESTful APIs
HTML/CSSjQueryJSON
+1 more
Job Background
We are looking for a Web Developer to join an award-winning, talented team, building the
next-generation automated drone applications for our global customers
As a front-end developer, you will implement a complete user interface in the form of a
web app. A thorough understanding of all of the components of the company’s platform and
infrastructure is required. You will need to take ownership of your projects, which involves
detailing requirements after discussion with the Product Owner, building user interfaces,
developing and maintaining web apps with a focus on user experience
Responsibilities
● Work as part of a team developing applications and services using Agile
development methods
● Contribute to team and organizational improvements in process and infrastructure
● Effectively use tools and ingenuity to identify and fix defects before they become a
problem
● Creating self-contained, reusable, and testable modules and components
● Learn about the domain and competitors to propose new drone apps as well as
improvement for existing apps
● Collaborate on projects with a closely-knit team
Skills/Experience
● 3+ yr experience as an Angular 2+ or React or Ionic Developer.
● Strong expertise with NodeJS, HTML5, CSS, JSON, jQuery, Bootstrap and writing
cross-browser compatible code.
● Knowledge of NodeJS frameworks such as ExpressJS etc.
● Knowledge of Creating RESTful services with Node.js and Experience with Socket.io
● Good understanding of HTML Dom manipulation Technique ●Experience in tested & documented TypeScript/JavaScript, HTML, and CSS
● User authentication and authorization between multiple systems, servers, and
environments
● Understanding of fundamental design principles behind a scalable application
● Proficiency working with source control (git) / versioning systems, continuous
integration in an agile development setup
Good to Have
● Understanding of how to deploy Mean stack applications in AWS/Azure deployment
environment, considering security, reliability etc.
● Knowledge of other python-based server-side frameworks such as Flask or Django
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