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We are looking for a self motivated and passionate individual, with strong desire to learn and ability to lead. This position is for a Flight Test Engineer, with exposure to building and flying sUAS (RC Multirotors and Fixed wings). See the detailed job description below.

Responsibilities

• Plan and execute flight test plans for new software features, electronics, sensors, and payloads.
• Perform hands-on mechanical and electrical integration of new hardware components on the internal fleet of test vehicles for R&D and testing.
• Troubleshoot and debug any components of a drone in the office or in the field. Maintenance of vehicles – keep the fleet ready for flight tests.
• Participate in defining and validating customer workflows and enhancing User experience.
• Coordinate cross-team efforts among FlytBase engineers to resolve issues identified during flight tests.
• Drive collaboration with FlytBase Developer team, Business Development team and Customer Support team to incorporate customer feedback and feature requests into FlytBase’s product development cycle.
• Learn about the domain and competitors to propose new drone applications, as well as, improvements in existing applications

Experience/Skills

• Experience in flight testing and operating/piloting small UAS and/or RC aircraft (both fixed-wing and multirotor systems).
• Experience in using flight-planning and ground control station software.
•Familiarity with UAV platforms, like, Pixhawk, DJI, Ardupilot and PX4.
•Experience in integrating, operating, and tuning autopilots on a variety of unmanned vehicles.
•Basic knowledge of electrical test equipment (multimeter, oscilloscope) and UAS sensors.
•Ability to work hands-on with electro-mechanical systems including assembly, disassembly, testing, troubleshooting.
•Good verbal and written communication skills.

Good to have

• RF communications fundamentals.
• Passionate about aerial robots i.e. drones.
• Programming languages and scripting for engineering use (C++, C, MATLAB, Python).

Compensation:
As per industry standards.

Perks:
+ Fast-paced Startup culture
+ Hacker mode environment
+ Great team
+ Flexible work hours
+ Informal dress code
+ Free snacks

Strong Product Designer Profile, with good exposure to Design systems

Mandatory (Experience 1): Must have 6+ YOE in Product / Visual / UI Design, with Top / large scale Products

Mandatory (Experience 2): Must have hands-on experience translating brand principles into scalable UI systems — covering typography, color, iconography, spacing, motion, and theming.

Mandatory (Skill 1): Must have deep expertise in creating and evolving design systems that ensure pixel-perfect execution across web, mobile, and emerging platforms.

Mandatory (Skill 2 ): Must have strong command of typography, layout, color theory, and visual hierarchy with an obsessive attention to detail and polish.

Mandatory (Skill 3): Must have experience maintaining visual consistency between marketing, brand, and product experiences — supporting localization, accessibility, and scalability.

Mandatory (Tools): Must have mastery of Figma, design tokens, and component-driven UI workflows.

Mandatory (Stakeholder Mgmt): Must have strong cross-functional collaboration skills — partnering with UX Design Leads, Engineering, and distributed global stakeholders to ensure accurate implementation of visual specs.

Mandatory (Portfolio): Must have a strong portfolio of Product / UI Design works for large-scale products — showcasing detailed Design systems, Case-studies, and brand-to-product translation, along with demonstrated experience working with international brands or global products, reflecting exposure to global design standards and multi-market product environments.

Mandatory (Education): Must have a formal design education — degree or diploma from a recognized design school/institute.

Mandatory (Exclusion - No Poach): The candidate’s current company should not be from the following companies - Publicis Groupe and all subsidiaries (Publicis Worldwide, Leo Burnett, Saatchi & Saatchi, BBH, MullenLowe, Digitas, Razorfish, Publicis Sapient, Starcom, Zenith, Spark Foundry, Performics, Epsilon, CitrusAd, Profitero, Publicis Health, Saatchi & Saatchi Wellness, Digitas Health, Publicis India, Publicis Sapient India, Leo Burnett India, Saatchi & Saatchi India, Digitas India, Starcom India, Zenith India) and YUJ Designs

Role Overview:

As a Database Administrator, you will be responsible for the full lifecycle management of our MySQL or PostgreSQL database systems. This includes installation, configuration, performance tuning, security implementation, backup and recovery, and proactive monitoring. You will ensure the reliability, availability, and security of our database infrastructure, supporting our internal operations and client projects.

Job Responsibilities

• Installation and configuration of database software across diverse operating systems.
• Designing efficient physical database models derived from logical designs and application specifications, along with configuring database servers according to best practices and workload requirements.
• Establishing and implementing robust backup and recovery strategies tailored to data volatility and application availability needs.
• Implementing comprehensive security measures at the OS, database, and network levels to ensure authorized data access and maintain a rigorous security infrastructure with auditing capabilities for compliance.
• Fine-tuning hardware/VM resources for optimal database performance.
• Proactive monitoring of the database environment, including performance optimization through adjustments to data structures, SQL, application logic, or the DBMS subsystem.
• Configuration and implementation of database replication technologies (e.g., Master-Slave, Master-Master, Log Shipping, Mirroring, Always On).
• Automation of routine DBA tasks utilizing scripting languages such as Shell, PowerShell, Python, or GO.
• Proficiency in writing general SQL queries.
• Setting up comprehensive monitoring solutions for databases (OS and database levels) using custom scripts or third-party monitoring tools.
• Basic Cloud platform knowledge (AWS/GCP/Azure)

Qualification

Experienced DBA (4-8 years) with deep expertise in MySQL or PostgreSQL architecture, configuration, and management.

Proficient in SQL, backup/recovery, security implementation, performance tuning, and replication for both systems.

Skilled in scripting (e.g., Shell, Python) and Linux, possessing strong problem-solving, communication, and teamwork abilities with a proactive approach.

A relevant Bachelor's degree in Computer Science, Information Technology, or a related field.

We identify better ways of doing things.

Solver? Absolutely. But not the usual kind. We are searching for the architects of the

audacious & the pioneers of the possible. If you are the type to dismantle assumptions,

re-engineer ‘best practices,’ and build solutions that make the future possible NOW,

then you are speaking our language.

➔ Improver. Solver. Futurist.

➔ Great sense of humor.

➔ ‘Possible. It is.’ Mindset.

➔ Compassionate collaborator. Bold experimenter. Tireless iterator.

➔ Natural creativity that doesn’t just challenge the norm, but solves to design what’s better.

➔ Thinks in systems. Solves at scale.

This Isn’t for Everyone. But if you’re the kind who questions why things are done a

certain way—and then identifies 3 better ways to do it — we’d love to chat with you.

Must have Strong SQL skills (queries, optimization, procedures, triggers)

Must have Advanced Excel skills

Should have 3+ years of relevant experience

Should have Reporting + dashboard creation experience

Should have Database development & maintenance experience

Must have Strong communication for client interactions

Should have Ability to work independently

Willingness to work from client locations

As a Security Researcher in SaaS security posture management, your primary responsibility will be to conduct research on emerging security threats and vulnerabilities in SaaS environments and to develop and implement strategies to mitigate those risks. Specifically, your job duties will include: Conducting in-depth research on emerging security threats and vulnerabilities in SaaS environments.

• Analyzing data and security logs to identify potential threats and take proactive measures to prevent them.
• Developing and implementing security policies and procedures to protect against security threats in SaaS environments.
• Collaborating with other members of the IT team to implement security measures and ensure compliance with industry standards and regulations.
• Keeping up-to-date with the latest security technologies and trends in SaaS security posture management.
• Communicating findings and recommendations to management and other stakeholders.
• Participating in incident response and resolution activities in the event of a security breach in SaaS environments.
• To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science, Information Security, or a related field, and have experience in researching emerging security threats and vulnerabilities in SaaS environments. You should also have strong analytical and problem-solving skills, and hold industry certifications such as CISSP, CEH, or OSCP. Excellent communication and collaboration skills are essential to work effectively with cross-functional teams.

Relevant Experience:

• 3-5 years

Required Skills

• In-depth experience with Python and OO concepts

• Experience with using NumPy, Pandas, or similar AI/ML libraries

• Deep understanding of multi-process architecture and threading limitations of Python

• Expert knowledge of Python and related frameworks including Django and Flask.

• Experience in Machine Learning and Artificial Intelligence

• Good understanding of relational data modeling concepts and comfortable with SQL

• databases.

• Good understanding of AWS / Azure cloud

• Nice to have

• Experience / Exposure in Chat BOT or Voice BOT

• Experience in Lambda Function OR Azure Functions

• Exposure to Financial Domain

Additional Skillsets Desired:

• Ability to work with clients and key stakeholders to ensure requirements are met

• Strong problem-solving and debugging skills

• Passion to work in a start-up environment and readiness to dabble with challenging

• Ability to work in both a solo and team environment

• Proven ability to communicate technical information coherently, both verbally and into internal team and external customers, maintaining a customer focused

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

• IND AS & IFRS based ESOP Accounting & Disclosures for clients, quarterly as well as yearly.
• Perform Business valuation for clients from various industries using appropriate model.
• Fair valuation of Options using Black & Scholes Model & Binomial Model.
• Prepare report on valuations, accounting & disclosures.
• Tracking revenue and raising Invoice on completion of assignments
• Maintaining Dashboards and MIS of assignments for Management
• Co-ordinating with Technology team for Bug fixing, Customizations, new developments
• Co-ordinating with Operations team for procurement and understanding client’s MIS

CANDIDATE WILL BE DEPLOYED IN A FINANCIAL CAPTIVE ORGANIZATION @ PUNE (KHARADI)

Below are the job Details :-

Experience 10 to 18 years

Mandatory skills –

• data migration,
• data flow

The ideal candidate for this role will have the below experience and qualifications:  

• Experience of building a range of Services in a Cloud Service provider (ideally GCP)  
• Hands-on design and development of Google Cloud Platform (GCP), across a wide range of GCP services including hands on experience of GCP storage & database technologies. 
• Hands-on experience in architecting, designing or implementing solutions on GCP, K8s, and other Google technologies. Security and Compliance, e.g. IAM and cloud compliance/auditing/monitoring tools 
• Desired Skills within the GCP stack - Cloud Run, GKE, Serverless, Cloud Functions, Vision API, DLP, Data Flow, Data Fusion 
• Prior experience of migrating on-prem applications to cloud environments. Knowledge and hands on experience on Stackdriver, pub-sub, VPC, Subnets, route tables, Load balancers, firewalls both for on premise and the GCP.  
• Integrate, configure, deploy and manage centrally provided common cloud services (e.g. IAM, networking, logging, Operating systems, Containers.)  
• Manage SDN in GCP Knowledge and experience of DevOps technologies around Continuous Integration & Delivery in GCP using Jenkins.  
• Hands on experience of Terraform, Kubernetes, Docker, Stackdriver, Terraform  
• Programming experience in one or more of the following languages: Python, Ruby, Java, JavaScript, Go, Groovy, Scala  
• Knowledge or experience in DevOps tooling such as Jenkins, Git, Ansible, Splunk, Jira or Confluence, AppD, Docker, Kubernetes  
• Act as a consultant and subject matter expert for internal teams to resolve technical deployment obstacles, improve product's vision. Ensure compliance with centrally defined Security 
• Financial experience is preferred 
• Ability to learn new technologies and rapidly prototype newer concepts 
• Top-down thinker, excellent communicator, and great problem solver

Exp:- 10  to 18 years

Location:- Pune

Candidate must have experience in below.

• GCP Data Platform
• Data Processing:- Data Flow, Data Prep, Data Fusion
• Data Storage:- Big Query, Cloud Sql,
• Pub Sub, GCS Bucket