Job Description 1 – Machine Learning Engineer
Role : Machine Learning Engineer
Experience : 5+ years
Location : Pune, Bangalore, Hyderabad, Mohali, Chennai, Bhubneshwar
Role Summary
We are seeking a Machine Learning Engineer to design, develop, and deploy advanced AI / ML models that drive innovation and business value. The ideal candidate will have hands-on experience in building scalable ML pipelines, applying generative AI frameworks, and optimizing models for performance and efficiency.
Key Responsibilities
- Design, develop, and test AI / ML models adhering to architecture and coding standards.
- Perform data preprocessing, feature engineering, and model evaluation to ensure accuracy and reliability.
- Write technical specifications, documentation, and reusable code .
- Conduct code reviews and provide constructive feedback to peers.
- Collaborate with cross-functional teams to integrate ML models into production applications.
- Optimize models for performance, scalability, and low latency .
- Stay updated with the latest advancements in AI / ML, deep learning, and generative AI frameworks .
Required Skills
Strong knowledge of Machine Learning algorithms and techniques.Proficiency in Python for ML / AI development.Experience with Generative AI frameworks (LLMs, Transformers, etc.) .Expertise in data analysis, feature engineering, and model evaluation techniques .Familiarity with code review practices and collaborative development tools .Knowledge of cloud platforms (AWS, Azure, or GCP) is a plus.Job Description 2 – ML / Backend Engineer
Role : ML / Backend Engineer
Experience : 5+ years
Location : Pune, Bangalore, Hyderabad, Mohali, Chennai, Bhubneshwar
Role Summary
We are looking for an ML / Backend Engineer who can combine expertise in machine learning with backend system development. The role involves designing AI / ML models while ensuring seamless backend integration, API development, and efficient data handling for production-ready deployments.
Key Responsibilities
Design, develop, and test AI / ML models and solutions aligned with system architecture.Implement backend logic, APIs, and data pipelines for smooth ML model deployment.Work on database design and management (SQL / NoSQL) to support large-scale ML applications.Conduct code reviews , ensuring performance and maintainability.Collaborate with other developers, data scientists, and product teams to integrate solutions.Ensure backend systems are scalable, secure, and cloud-ready .Stay up-to-date with emerging ML, backend, and cloud technologies .Required Skills
Proficiency in Python for both ML and backend development.Hands-on experience with Machine Learning algorithms and Generative AI frameworks .Strong knowledge of FastAPI (or similar Python frameworks) for API design.Expertise in database management (SQL / NoSQL) .Experience with cloud platforms (AWS, Azure, or GCP) for deployment.Strong understanding of data analysis, feature engineering, and model evaluation .