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Role- Sr. Engineer Networking-(Post Sales- Implementation Team)

The purpose of the role is to implement and manage different Networking Project implementation for  22by7 customers. Preparing Plan of Action (PoA), Scope of Work (SoW), and implementation documents and submitting to customers.

Key Responsibilities:

Project Implementation as per SoW

Interact with client Project Manager and managing the implementation activities for the client

Troubleshooting L1/L2/L3 tickets and submitting the RCA.

      Responsible for documentation and reporting

Presenting the appropriate solutions at customer meetings.

Keeping well informed of general technical developments, company products and services.

Maintaining accurate, up to date reporting using the company systems and providing reporting where required.

Ensuring that product, technical and market knowledge is kept up to date by reading literature, networking, attending training courses, collaborate with other colleagues and sharing unique knowledge with the rest of the company. 

Maintaining a positive and healthy attitude that contributes directly to the working environment of the sales team and the Company.

Perform all other role-related tasks as assigned.

Key Requirements: 

3 to 5 years of  experience, out of which recent 3 years minimum on handson implementation of Aruba switches and wi-fi solutions

Mandatory Hands on experience on technologies (Routing, Switching, Wi fi)

Good understanding of OSI Model, TCP/IP protocol suite (IP, ARP, ICMP, TCP, UDP, SNMP, FTP, TFTP).. IP addressing & sub netting, Routing Concepts (OSPF, BGP), VLSM/CIDR

In-depth knowledge of L2 technology and protocols like VLANs, VLAN Tagging (IEEE 802.1q), LACP, VLAN trunking, STP (IEEE 802.1D and other 802.1 implementations.).

Good working knowledge of Application layer protocols and functions such as FTP, DHCP, DNS, SNMP, HTTP/HTTPS, LDAP, Radius, User Authentication Mechanisms, SMTP etc.

Implementation scenarios, configuration and troubleshooting of network related issues.

Key Skills:

Routers, Switches, Wi-Fi (Primary Skill- Aruba Switches, Aruba Central, Aruba IAP, Mobility Controller, Mobility Master, Aruba Airwave, Aruba CPPM etc)

Secondary Product suite- Cisco or Ruckus

It will be added advantage if the candidate has a combination of skills in Aruba and network security like Palo Alto etc.

Education- Open

Diploma- Any Diploma

UG: Any Graduate - Any Specialization, B.Tech/B.E. - Any Specialization, Electrical, Electronics/Telecommunication, Diploma - Any Specialization

PG: Any Postgraduate - Any Specialization (Post Graduation Not mandatory)

 CTC- As per the market standard

About Us:

We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy, and committed communication company that wants its clients to always Expect the EXTRA from it. Our primary clientele consists of Startups and corporations like Ola, Zoomcar, Mercedes Benz, ITC, Aditya Birla Group, TATA Group, MTV, IHCL, Jaquar, Sobha, Simple Energy, and Godrej amongst others. We have a huge team of creative folks, marketers, learners, developers, and coders who believe Moshi Moshi is an experience rather than a company.

Job Description:

We are looking for a BDM with 5+ years agency experience in generating sales and developing new business for our company. This is the perfect opportunity for someone who is excited by the prospect of growing with the company in a friendly environment and having a key role in the process.

Responsibilities:

1. Developing, generating, and growing new business- branding, website, marketing, and creating innovative business plans for clients.

2. Managing both our existing sales pipeline and developing new business opportunities • Identifying opportunities for new business development through following up on leads and conducting research on target clients.

3. Selling Web and Digital marketing services/solutions including SEO, Google, PPC, social media marketing, B2B marketing, Branding, website development, and other services.

4. Create effective and persuasive proposals.

5. Excellent presentation, pitches, proposal, negotiation, and customer relationship skills.

6. Maintain an active schedule of prospecting calls.

7. Assist in the coordination and implementation of marketing strategies, and delegate tasks that achieve strategic goals

Skills:

• Have a proven track record of working with different industries, pitching and generating business from leading brands and corporate organizations

• Minimum of 5 years of experience in winning new business for agencies in the all sector

• Experience with direct client servicing at any Marketing Agency

• Excellent communication and presentation skills

• Broad understanding of the business development process.

Company Description

TECHSOPHY specializes in productizing solutions based on new technology, focusing on emerging platforms of BPM & ECM, Low Code, AI (ML/RPA/NLP). Founded in 2009, Hyderabad, India. We specialize in delivering AI, RPA, BPM, Low-Code, and cloud solutions that help enterprises modernize operations and accelerate digital transformation. Our mission is to improve lives across four dimensions — Physical, Mental, Financial, and Cyber Health — through technology that is purposeful, scalable, and built for the real world. We are on the lookout for a sharp, driven SDET (Full Stack) who takes quality personally. If you love breaking things before users do, thrive in a fast-paced engineering culture, and want your work to directly shape products that impact millions — this is the role for you.

Experience

5 to 7 Years of Relevant Experience

What You'll Do

• Design, build, and scale test automation frameworks across Web and Desktop platforms — from scratch or on top of what exists
• Own and evolve existing automation suites, keeping them fast, reliable, and maintainable
• Drive bug triage end-to-end: identify, document, communicate, and follow through until resolution
• Debug complex failures and dig deep into code to uncover root causes, not just symptoms
• Proactively identify performance bottlenecks and thresholds before they become production incidents
• Collaborate with Dev and Product teams using Git and Jenkins as part of a mature CI/CD pipeline
• Champion Object-Oriented Design principles across test code because quality code deserves quality tests

What We're Looking For

Some or all of the below — because we believe smart people learn fast. You just need to prove you can:

• Hands-on experience building and maintaining Selenium-based automation frameworks
• Deep understanding of QA processes — test planning, feature ownership, automation reporting, bug triage, regression, and isolation
• Proven experience with REST API automation frameworks and scripting
• Strong programming skills in Python with solid grasp of Data Structures and OOP concepts5. Functional knowledge of the full software testing lifecycle and test case writing
• Working knowledge of build tools — Jenkins, Apache Ant, or Gradle
• Experience with API Testing and proficiency in integrating it into CI pipelines
• Familiarity with Continuous Integration and software build processes
• Experience testing cloud-based SaaS or PaaS products with a demonstrated sense of ownership
• Excellent communication skills and the ability to work cross-functionally across engineering, product, and business teams

Role & Responsibilities

·      Collect, clean, and analyze large structured and unstructured datasets from multiple internal and external sources

·      Conduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns

·      Profile and audit datasets to assess data quality, completeness, consistency, and fitness for modeling

·      Investigate and document data lineage — understanding where data originates, how it flows, and how it transforms across systems

·      Identify and resolve data anomalies, inconsistencies, and integrity issues in collaboration with data engineering teams

·      Develop a deep understanding of the business domain and the underlying data that represents it — including what each field means, how it is captured, and what its limitations are

·      Translate raw, messy, real-world data into clean, well-understood analytical datasets ready for modeling and reporting

·      Apply statistical techniques such as correlation analysis, hypothesis testing, variance analysis, and distribution fitting to extract meaningful signals from noise

·      Build and deploy machine learning models including regression, classification, clustering, NLP, and time-series analysis

·      Design, evaluate, and analyze A/B experiments and controlled tests using causal inference techniques

·      Develop data-driven recommendations backed by rigorous statistical reasoning

·      Write clean, production-ready code in Python or R

·      Collaborate with data engineers to build reliable data pipelines and feature stores

·      Deploy and monitor ML models using MLOps best practices on cloud infrastructure

·      Build dashboards and self-serve analytics tools to support stakeholder decision-making

Data Understanding & Analysis Skills

·      Strong ability to interrogate unfamiliar datasets and quickly develop a working understanding of their structure, semantics, and quirks

·      Experience working with messy, incomplete, or poorly documented real-world data

·      Skilled in identifying hidden patterns, trends, seasonality, and anomalies through visual and statistical exploration

·      Ability to ask the right questions about data — challenging assumptions, validating sources, and understanding the context in which data was collected

·      Proficiency in data profiling, descriptive statistics, and summary reporting to communicate the shape and health of a dataset

·      Experience creating data dictionaries, documentation, and data quality reports to support team-wide data understanding

·      Comfort working across structured (relational tables), semi-structured (JSON, XML), and unstructured (text, logs, sensor streams) data formats

Technical Skills Required

·      Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow) and/or R

·      Strong SQL skills with hands-on experience in DB2 and SQL Server

·      Experience with Databricks for large-scale data processing, feature engineering, and model training

·      Familiarity with cloud platforms: Azure or AWS

·      Experience with data warehouses and big data platforms (Databricks, Snowflake, or Redshift)

·      Knowledge of MLOps tools such as MLflow, Kubeflow, or Airflow

·      Experience with streaming data technologies such as Kafka or Spark

·      Solid foundation in probability, statistics, linear algebra, and experimental design

Nice to Have

·      Experience with deep learning, NLP, computer vision, or Bayesian methods

·      Familiarity with real-time or streaming data pipelines

·      Open-source contributions or published research

This is a full-time onsite role for a Software Architect located in our office in Hyderabad, India the Software Architect will be responsible for designing and developing software solutions, defining software architecture, and ensuring the quality and performance of the software. The day-to-day tasks include collaborating with cross-functional teams, implementing design patterns, and guiding software development processes to ensure best practices. The role also involves staying updated with the latest industry trends and technologies to continuously improve the software architecture. Only apply if you have piror .NET and Angular experience. We are looking for a minimum of 5 years of experience for this role.

Mandatory Criteria :

• Candidate must have Strong hands-on experience with Kubernetes of atleast 2 years in production environments.
• Candidate should have Expertise in at least one public cloud platform [GCP (Preferred), AWS, Azure, or OCI).
• Proficient in backend programming with Python, Java, or Kotlin (at least one is required).
• Candidate should have strong Backend experience.
• Hands-on experience with BigQuery or Snowflake for data analytics and integration.

About the Role

We are looking for a highly skilled and motivated Cloud Backend Engineer with 4–7 years of experience, who has worked extensively on at least one major cloud platform (GCP, AWS, Azure, or OCI). Experience with multiple cloud providers is a strong plus. As a Senior Development Engineer, you will play a key role in designing, building, and scaling backend services and infrastructure on cloud-native platforms.

# Experience with Kubernetes is mandatory.

Key Responsibilities

• Design and develop scalable, reliable backend services and cloud-native applications.
• Build and manage RESTful APIs, microservices, and asynchronous data processing systems.
• Deploy and operate workloads on Kubernetes with best practices in availability, monitoring, and cost-efficiency.
• Implement and manage CI/CD pipelines and infrastructure automation.
• Collaborate with frontend, DevOps, and product teams in an agile environment.
• Ensure high code quality through testing, reviews, and documentation.

Required Skills

• Strong hands-on experience with Kubernetes of atleast 2 years in production environments (mandatory).
• Expertise in at least one public cloud platform [GCP (Preferred), AWS, Azure, or OCI].
• Proficient in backend programming with Python, Java, or Kotlin (at least one is required).
• Solid understanding of distributed systems, microservices, and cloud-native architecture.
• Experience with containerization using Docker and Kubernetes-native deployment workflows.
• Working knowledge of SQL and relational databases.

Preferred Qualifications

• Experience working across multiple cloud platforms.
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
• Exposure to monitoring, logging, and observability stacks (e.g., Prometheus, Grafana, Cloud Monitoring).
• Hands-on experience with BigQuery or Snowflake for data analytics and integration.

Nice to Have

• Knowledge of NoSQL databases or event-driven/message-based architectures.
• Experience with serverless services, managed data pipelines, or data lake platforms.

Data Scientist

Job Title: Data Scientist – Data and Artificial Intelligence

Location: Hyderabad

Job Type: Full-time

Company Description:

Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, 

and Cyber Security. We help businesses unlock the full potential of these technologies 

to achieve their goals and gain a competitive edge. Our unique approach focuses on 

delivering value through bespoke solutions tailored to customer specific needs. We are 

driven by a customer-centric mindset and committed to delivering continuous value 

through intellectual property accelerators and automation. Our team of experts is 

passionate about technology and dedicated to making a positive impact. We foster an 

environment of growth and innovation, constantly pushing the boundaries to deliver 

exceptional results. Website: www.qylis.com, LinkedIn: 

www.linkedin.com/company/qylis

Job Summary

We are an engineering organization collaborating directly with clients to address 

challenges using the latest technologies. Our focus is on joint code development with 

clients' engineers for cloud-based solutions, accelerating organizational progress. 

Working with product teams, partners, and open-source communities, we contribute to 

open source, striving for platform improvement. This role involves creating impactful 

solution patterns and open-source assets. As a team member, you'll collaborate with 

engineers from both teams, applying your skills and creativity to solve complex 

challenges and contribute to open source, while fostering professional growth.

Responsibilities

• Researching and developing production-grade models (forecasting, anomaly 

detection, optimization, clustering, etc.) for global cloud business by using 

statistical and machine learning techniques.

• Manage large volumes of data, and create new and improved solutions for data 

collection, management, analyses, and data science model development.

• Drive the onboarding of new data and the refinement of existing data sources 

through feature engineering and feature selection.

• Apply statistical concepts and cutting-edge machine learning techniques to 

analyze cloud demand and optimize data science model code for distributed 

computing platforms and task automation.

• Work closely with other data scientists and data engineers to deploy models that 

drive cloud infrastructure capacity planning.

• Present analytical findings and business insights to project managers, 

stakeholders, and senior leadership and keep abreast of new statistical / 

machine learning techniques and implement them as appropriate to improve 

predictive performance.

• Oversees the analysis of data and leads the team in identifying trends, patterns, 

correlations, and insights to develop new forecasting models and improve 

existing models.

• Leads collaboration among team and leverages data to identify pockets of 

opportunity to apply state-of-the-art algorithms to improve a solution to a 

business problem.

• Consistently leverages knowledge of techniques to optimize analysis using 

algorithms.

• Modifies statistical analysis tools for evaluating Machine Learning models. 

Solves deep and challenging problems for circumstances such as when model 

predictions are not correct, when models do not match the training data or the 

design outcomes when the data is not clean when it is unclear which analyses to 

run, and when the process is ambiguous.

• Provides coaching to team members on business context, interpretation, and the 

implications of findings. Interprets findings and their implications for multiple 

businesses, and champions methodological rigour by calling attention to the 

limitations of knowledge wherever biases in data, methods, and analysis exist.

• Generates and leverages insights that inform future studies and reframe the 

research agenda. Informs both current business decisions by implementing and 

adapting supply-chain strategies through complex business intelligence.

Qualifications

• M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer 

Science or Engineering, Data Science, Operations Research or similar applied 

quantitative field

• 7+ years of industry experience in developing production-grade statistical and 

machine learning code in a collaborative team environment.

• Prior experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel).

• Prior experience working on Computer Vision Project is an Add on 

• Knowledge on AWS and Azure Cloud.

• Prior experience in time series forecasting.

• Prior experience with typical data management systems and tools such as SQL.

• Knowledge and ability to work within a large-scale computing or big data context, 

and hands-on experience with Hadoop, Spark, DataBricks or similar.

• Excellent analytical skills; ability to understand business needs and translate 

them into technical solutions, including analysis specifications and models.

• Experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel) with skill level at or near fluency.

• Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid 

knowledge of theory and practice.

• Practical and professional experience contributing to and maintaining a large 

code base with code versioning systems such as Git.

• Creative thinking skills with emphasis on developing innovative methods to solve 

hard problems under ambiguity.

• Good interpersonal and communication (verbal and written) skills, including the 

ability to write concise and accurate technical documentation and communicate 

technical ideas to non-technical audiences.

Company Profile :

Merilytics, an Accordion company is a fast-growing analytics firm offering advanced a and intelligent analytical solutions to clients globally. We combine domain expertise, advanced analytics, and technology to provide robust solutions for clients' business problems. You can find further details about the company at https://merilytics.com.

We partner with our clients in Private Equity, CPG, Retail, Healthcare, Media & Entertainment, Technology, Logistics industries etc. by providing analytical solutions to generate superior returns. We solve clients' business problems by analyzing large amount of data to help guide their Operations, Marketing, Pricing, Customer Strategies, and much more.

Position :

- Business Associate at Merilytics will be working on complex analytical projects and is the primary owner of the work streams involved.

- The Business Associates are expected to lead the team of Business Analysts to deliver robust analytical solutions consistently and mentor the Analysts for professional development.

Location : Hyderabad

Roles and Responsibilities :

The roles and responsibilities of a Business Associate will include the below:

- Proactively provide thought leadership to the team and have complete control on the delivery process of the project.

- Understand the client's point of view and translate it into sound judgment calls in ambiguous analytical situations.

- Highlight potential analytical issues upfront and resolve them independently.

- Synthesizes the analysis and derives insights independently.

- Identify the crux of the client problem and leverage it to draw relevant actionable insights from the analysis/work.

- Ability to manage multiple Analysts and provide customized guidance for individual development.

- Resonate with our five core values - Client First, Excellence, Integrity, Respect and Teamwork.

Pre-requisites and skillsets required to apply for this role :

- Undergraduate degree (B.E/B.Tech.) from tier-1/tier-2 colleges are preferred.

- Should have 2-4 years of experience.

- Strong leadership & proactive communication to coordinate with the project team and other internal stakeholders.

- Ability to use business judgement and a structured approach towards solving complex problems.

- Experience in client-facing/professional services environment is a plus.

- Strong hard skills on analytics tools such as R, Python, SQL, and Excel is a plus.

Why Explore a Career at Merilytics :

- High growth environment: Semi-annual performance management and promotion cycles coupled with a strong meritocratic culture, enables fast track to leadership responsibility.

- Cross Domain Exposure: Interesting and challenging work streams across industries and domains that always keep you excited, motivated, and on your toes.

- Entrepreneurial Environment: Intellectual freedom to make decisions and own them. We expect you to spread your wings and assume larger responsibilities.

- Fun culture and peer group: Non-bureaucratic and fun working environment; Strong peer environment that will challenge you and accelerate your learning curve.

Other benefits for full time employees:

(i) Health and wellness programs that include employee health insurance covering immediate family members and parents, term life insurance for employees, free health camps for employees, discounted health services (including vision, dental) for employee and family members, free doctor's consultations, counselors, etc.

(ii) Corporate Meal card options for ease of use and tax benefits.

(iii) Work dinners, team lunches, company sponsored team outings and celebrations.

(iv) Reimbursement support for travel to the office, as and when promulgated by the Company.

(v) Cab reimbursement for women employees beyond a certain time of the day.

(vi) Robust leave policy to support work-life balance. Specially designed leave structure to support woman employees for maternity and related requests.

(vii) Reward and recognition platform to celebrate professional and personal milestones.

(viii) A positive & transparent work environment including various employee engagement and employee benefit initiatives to support personal and professional learning and development.

• At least 2-5 Yrs. of experience handling end-to-end IT recruitment.
• Should be an individual contributor responsible for Full Recruitment Life Cycle: Sourcing, Screening, Interview Co-ordination and Follow-Ups etc.
• Experience working with W2/1099/C2C/GC/EAD/US Citizens/TN Visa/H1B work Authorization.
• Screen candidates to confirm work history, education, training, job skills, soft skills, and availability and salary requirements.
• Follow up with candidates during the entire process, keep them warm and also close the loop as appropriate 
• Candidate should be technically strong & possess knowledge of IT terminologies & current trends.
• Ability to source profiles using alternative sourcing channels (LinkedIn, Li-Searcher, GitHub and other networking channels)

Strategy & Operations Manager – 2022 

JOB DESCRIPTION  

As a Strategy & Operations Manager you are expected to Work closely with CEO and help streamline Operations for the best way forward through Guidelines, Standards Automation etc (understanding the current state and future state why is critical), for & through 

Roles & Responsibilities:  

A strategic & org level role to define/streamline/standardize overall Org Operations in alignment with the current & future goals of the company, through, 

• Definition of Guidelines, Standard Operating Procedures etc. for all the operations/services in the company 
• Identification of the areas of automation of manual/repetitive tasks as a part of project management/delivery and working with the team in identifying and automating through the right tools & techniques (for ex – Team Management Matrix, Timesheets, Customer Status Dashboards etc.) 
• People & Management – for work, right utilization & upskilling 
• Continuous Reviews, Audits & Feedback ensure adherence  
• Use of the right tools & techniques for ease, reuse, scalability & management – across operations 
• Definition & Delivery of Org specific reports – team management, project dashboards, customer management etc. 
• Bringing in mature practices to the way we do business for the betterment. 
• Helping avoid waste and add value – in terms of work executed, value delivered to the customers 

To re-iterate, all the above to be in complete alignment with the Org – its goals, values, principles & culture. So, while the expectation is for you to define procedures & protocols – it cannot be a one size fits all approach. Our belief is Responsible Freedom. Structures/Governance are important, but not at the cost of flexibility. You should be able to strike the right balance. 

Scope in terms of functions/departments:  

• All the functions around the Business that we are in (Consulting, Technology), from an Operations perspective 
• Training & Development 

Team you will be working with:  

• CEO & Org Maturity Team 
• Org Performance & Customer Delivery Team 
• Project Managers 

Experience/Qualifications 

• Insurance Technology space, with experience in the role, as per Job Profile (preferable: P&C/General Insurance and related Technologies) would be ideal for the role. Alternatively, experience in FinTech or BFSI is expected 
• Minimum of 5 to 6 years – Our focus is not on the number of years of experience, but the passion/aggression to help support in building scalable business through the right Operations 
• B Tech with MBA from Premier Institutes preferable 
• Experience in tech project implementations – in the capacity of operations manager 

ABOUT MANOMAY  

Manomay is a Global IT Consulting & InsurTech Firm with an exclusive focus on the Insurance industry. With business technology alignment as the key emphasis, we work with multiple insurance companies both on Consulting (Strategic/Management/Implementation/ Measurement) and Technology (InsurTech Products and Custom Specific Solution Development). Our Customer Base is spread across USA and Caribbean Islands (Bermuda, Cayman Islands, Barbados, Bahamas, and Jamaica).   

Whether it is Consulting or Software Development, our focus is to help Insurance Companies solve those “unsolved” problems, that are not yet comprehensively addressed in the current realm of Company and the Market. These span across legacy technology, rip & replace challenges, indecisiveness about enterprise IT, changing customer expectations & positioning, changing market dynamics, people & process challenges, integrations & associations etc.   

Our Technology Stack is of latest order using a combination of the new gen technologies AI, ML, RPA, Digitization & Analytics etc. developed off Python and its frameworks (primarily) + other web frameworks like Angular and Node JS etc.