Back
Tier-1 employer, metro location, mid-level generalist ML/GenAI role with broad required skills.
Requires specialized GenAI/LLMOps and ML frameworks, reducing cross-industry transferability.
Explicit 3+ years plus mandatory GenAI/LLM, cloud and tooling requirements enforce high shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and implement ML pipelines including experiment management, model management, feature management, and retraining, focusing on scalability via APIs.
Manage large language model (LLM) serving and distributed training using GPU architectures and frameworks like DeepSpeed and vLLM.
Optimize model fine-tuning techniques to improve latency and accuracy while reducing training and resource consumption; engage in DevOps and LLMOps practices with Kubernetes, Docker, and orchestration frameworks.
Minimum 3+ years of experience in Generative AI and related technologies.
Mandatory skills: Gen AI, LLM, Huggingface, Python, PyTorch/TensorFlow/Keras, Langchain, Langgraph, Docker, Kubernetes.
Education: BE/B.Tech or ME/M.Tech; MBA or MCA also acceptable.
Work Experience Required: 3+ years explicit; Notice Period: Not explicitly mentioned in the JD.
Experienced in cloud platforms AWS, Azure, and GCP with knowledge of cloud DevOps tools and container orchestration.
Skilled in complex model orchestration frameworks and capable of handling end-to-end LLM lifecycle management including experimentation and fine-tuning.
Candidate with strong programming skills in Python and SQL and practical experience with data warehouse technologies like DynamoDB, Cosmos, MongoDB, BigQuery.