Posted:1 week ago|
Platform:
On-site
Full Time
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
Job Types: Full-time, Permanent
Pay: ₹2,500,000.00 - ₹3,000,000.00 per year
Experience:
Work Location: In person
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