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Machine Learning Engineer - Python

Machine Learning Engineer - Python

Catalyst IQBangalore
30+ days ago
Job description

Position Overview :

As a MLE-2, you will design, implement, and optimize AI solutions while ensuring model success. You will lead the ML lifecycle from development to deployment, collaborate with cross-functional teams, and enhance AI capabilities to drive

innovation and impact.

Key Responsibilities :

  • Design and implement AI product features.
  • Maintain and optimize existing AI systems.
  • Train, evaluate, deploy, and monitor ML models.
  • Design ML pipelines for experiment, model, and feature management.
  • Implement A / B testing and scalable model inferencing APIs.
  • Optimize GPU architectures, parallel training, and fine-tune models for improved performance.
  • Deploy LLM solutions tailored to specific use cases.
  • Ensure DevOps and LLMOps best practices using Kubernetes, Docker, and orchestration frameworks.

Technical Requirements :

  • LLM & ML : Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama
  • LLMOps : MLFlow, Langchain, Langgraph, LangFlow, Langfuse, LlamaIndex, SageMaker, AWS Bedrock, Azure AI
  • Databases : MongoDB, PostgreSQL, Pinecone, ChromDB
  • Cloud : AWS, Azure
  • DevOps : Kubernetes, Docker
  • Languages : Python, SQL, JavaScript
  • Certifications (Bonus) : AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert

    • What You'll Do :

  • Collaborate with cross-functional teams to design and build scalable ML solutions.
  • Implement state-of-the-art ML techniques, including NLP, Generative AI, RAG, and Transformer architectures.
  • Deploy and monitor ML models for high performance and reliability.
  • Innovate through research, staying ahead of industry trends.
  • Build scalable data pipelines following best practices.
  • Present key insights and drive decision-making.

    • What You Need to Succeed :

  • Masters degree or equivalent experience in Machine Learning.
  • 3+ years of industry experience in ML, software engineering, and data engineering.
  • Proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Strong programming skills in Python and JavaScript.
  • Hands-on experience with ML Ops practices.
  • Ability to work with research and product teams.
  • Excellent problem-solving skills and a track record of innovation.
  • Passion for learning and applying the latest technological advancements.

    • Why Join Us?

  • Work directly with experienced founders.
  • Be part of a high-energy team that works hard and celebrates success.
  • Shape the future of AI-driven automation in the insurance industry.

    • (ref : hirist.tech)

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    Machine Learning Engineer • Bangalore