Senior Machine Learning Engineer

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: ● Master’s degree or equivalent experience in Machine Learning. ● 5+ 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.

Job Types: Full-time, Permanent

Pay: ₹3,000,000.00 - ₹5,000,000.00 per year

Experience:

• Total work: 5 years (Preferred)
• LLM: 3 years (Preferred)

Work Location: In person