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Solutions Engineer – Technical Customer Success Owner

Location: Pune | Experience: 2–4 years

About FlytBase

FlytBase powers 24/7 autonomous drone and robot operations across industrial sites—solar farms, refineries, rail yards, and more. With deployments at 300+ sites globally and customers like Oxy, CSX, and Anglo-American, we’re scaling the future of Physical AI.

What You’ll Own

This isn’t a demo-and-disappear job. You’ll lead from discovery to deployment—owning the full technical cycle for enterprise drone automation.

• Customer Success & Technical Discovery: Be the go-to advisor for clients—understand pain points, run PoCs, and deliver solutions they can scale.
• Sales Engineering: Assist in GTM execution, drive revenue with compelling value stories, and close enterprise deals.
• Product Feedback Loop: Turn customer insight into roadmap impact—collaborate with product & engineering to build what the market really needs.
• Thought Leadership: Represent FlytBase at expos, train customers, lead webinars, and create high-signal success stories.

Who You Are

• 2–4 years in enterprise SaaS, robotics, drones, or IoT (customer-facing)
• Proven experience in technical pre-sales or onboarding
• Excellent communicator—comfortable with CEOs and CTOs alike
• Obsessively curious, fast learner, and bias for execution
• Writes clearly, thinks logically, and simplifies complexity
• Bonus: Experience with UAV systems, DJI, APIs, or deployment architecture

AI-Native, Full-Stack Mindset

• Use AI to prototype, scale outreach, and optimize delivery
• Write docs, guides, and customer content that actually helps
• Solve problems—not just show features.

Who We’re Not Hiring

• Slide flippers who disappear after demos
• “That’s not my job” types
• Activity-over-outcome operators
• Anyone allergic to complexity or documentation

Who You’ll Work With

• Sales → Demo, close, and support GTM
• Product → Shape roadmap with insights from the field
• Engineering → Translate problems into features and fixes
• Marketing → Co-build stories that drive adoption.

Ready to Fly?

Apply now: https://forms.gle/4QAUqJxgT7TevpX86

If this felt too intense, it’s probably not for you. But if it sparked a fire—you know what to do.

Job Title: AI Architect

Location: [Pune, Onsite]

Experience: 6+ Years

Employment Type: Full-Time

Working requirements:

Engagement Commitment: 3 months to start with to ensure that the engagement is progressing well.

Deliverable: Minimum Viable Product is already there, enhancement is required

Working Hours Preferable: California Time (which is ~12 hours behind IST), requesting this because then it will be easier to huddle and both US and India team can work simultaneously

About the Role:

We are seeking an experienced and visionary AI Architect to lead the design, development, and deployment of cutting-edge AI/ML solutions. The ideal candidate will have a strong foundation in artificial intelligence, machine learning, data engineering, and cloud technologies, with the ability to architect scalable and high-performing systems.

Key Responsibilities:

• Design and implement end-to-end AI/ML architectures for large-scale enterprise applications.
• Lead AI strategy, frameworks, and roadmaps in collaboration with product and engineering teams.
• Guide the development of machine learning models (e.g., NLP, Computer Vision, Predictive Analytics).
• Define best practices for model training, validation, deployment, monitoring, and versioning.
• Collaborate with data engineers to build and maintain robust data pipelines.
• Choose the right AI tools, libraries, and platforms based on project needs (e.g., TensorFlow, PyTorch, Hugging Face).
• Work with cloud platforms (AWS, Azure, GCP) to deploy and manage AI models and services.
• Ensure AI/ML solutions comply with data privacy, governance, and ethical standards.
• Mentor junior AI engineers and data scientists.

Required Skills & Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
• 6+ years of experience in AI/ML, with at least 2+ years in an architecture or lead role.
• Strong experience with AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn, etc.
• Deep understanding of LLMs, transformers, GPT models, and fine-tuning techniques.
• Proficiency in Python and data processing libraries (Pandas, NumPy, etc.).
• Experience with cloud-based AI services (AWS SageMaker, Azure ML, Vertex AI, etc.).
• Knowledge of MLOps practices, CI/CD for models, and model monitoring.
• Familiarity with data lakehouse architecture, real-time inference, and APIs.
• Strong communication and leadership skills.

Preferred Qualifications:

• Experience with generative AI applications and prompt engineering.
• Knowledge of reinforcement learning or federated learning.
• Publications or contributions to open-source AI projects.
• AI certifications from cloud providers (AWS, Azure, GCP).

Why Join Us?

• Work on transformative AI projects across industries.
• Collaborate with a passionate and innovative team.
• Flexible work environment with remote/hybrid options.
• Continuous learning, upskilling, and growth opportunities.

Role: Lead Java Developer

Work Location: Chennai, Pune

No of years’ experience: 8+ years

Hybrid (3 days office and 2 days home)

Type: Fulltime

Skill Set: Java + Spring Boot + Sql + Microservices + DevOps

Job Responsibilities:

Design, develop, and maintain high-quality software applications using Java and Spring Boot.

Develop and maintain RESTful APIs to support various business requirements.

Write and execute unit tests using TestNG to ensure code quality and reliability.

Work with NoSQL databases to design and implement data storage solutions.

Collaborate with cross-functional teams in an Agile environment to deliver high-quality software solutions.

Utilize Git for version control and collaborate with team members on code reviews and merge requests.

Troubleshoot and resolve software defects and issues in a timely manner.

Continuously improve software development processes and practices.

Description:

8 years of professional experience in backend development using Java and leading a team.

Strong expertise in Spring Boot, Apache Camel, Hibernate, JPA, and REST API design

Hands-on experience with PostgreSQL, MySQL, or other SQL-based databases

Working knowledge of AWS cloud services (EC2, S3, RDS, etc.)

Experience in DevOps activities.

Proficiency in using Docker for containerization and deployment.

Strong understanding of object-oriented programming, multithreading, and performance tuning

Self-driven and capable of working independently with minimal supervision

Key Responsibilities

• Team Leadership & Management
• Lead, mentor, and manage a team of 6–10 full-stack engineers (MERN stack).
• Drive performance management, team development, and career progression.
• Collaborate with product managers, designers, and QA to ensure timely delivery of high-quality features.
• Technical Ownership
• Own the architecture, design, and implementation of core fintech product modules using MongoDB, Express.js, React.js, and Node.js.
• Review and enforce coding standards, CI/CD pipelines, and software quality best practices.
• Ensure system scalability, security, performance, and availability.
• Project Delivery
• Translate business requirements into scalable tech solutions.
• Ensure sprint planning, estimation, execution, and stakeholder communication.
• Proactively identify risks and bottlenecks and implement mitigations.
• Product & Innovation Focus
• Work closely with leadership on technology strategy and product roadmaps.
• Foster a culture of innovation, continuous learning, and engineering excellence.

Requirements

• 8+ years of software development experience, with at least 3+ years in team leadership roles.
• Proven track record of working in product-based fintech companies.
• Deep hands-on experience in the MERN stack (MongoDB, Express.js, React.js, Node.js).
• Strong understanding of cloud-native architectures (AWS/GCP/Azure).
• Proficiency in REST APIs, microservices, Docker, and container orchestration.
• Exposure to security best practices in fintech (e.g., data encryption, secure auth flows).
• Strong debugging, optimization, and analytical skills.
• Excellent communication, interpersonal, and stakeholder management skills.
• Ability to work in a fast-paced, startup-like environment with a product ownership mindset.

Nice to Have

• •  Experience with TypeScript, GraphQL, or WebSockets.
• •  Exposure to DevOps practices and observability tools.
• •  Prior experience building lending, payments, or investment platforms.

What you can expect in return:

• ESOPs basis performance
• Health insurance
• Statutory benefits like PF & Gratuity
• Flexible Working Structure
• Professional development opportunities
• Collaborative and inclusive work culture

Technical Experience:

-Translate designs and wireframes into high-quality code

-Design, build and maintain high performance, reusable, and reliable Java code

-Ensure the best possible performance, quality, and responsiveness of the application

-Identify and correct bottlenecks and fix bugs

-Help maintain code quality, organization, and automatization

-Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes

-Familiarity with RESTful APIs to connect Android applications to back-end services

-Strong knowledge of Android UI design principles, patterns, and best practices

-Experience with offline storage, threading, and performance tuning

-Ability to design applications around natural user interfaces, such as touch

-Familiarity with the use of additional sensors, such as gyroscopes and accelerometers

-Knowledge of the open-source Android ecosystem and the libraries available for common tasks

-Ability to understand business requirements and translate them into technical requirements

-Familiarity with cloud message APIs and push notifications

-A knack for benchmarking and optimization

-Understanding of Googles Android design principles and interface guidelines

-Proficient understanding of code versioning tools, such as Git

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.