Machine Learning Engineer

1 day ago

Bangalore, India Reyika Full time

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 .

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