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Tier-1 brand, metro Bangalore, mid-level (3+ years), and highly sought GenAI/LLM skillset.
Niche GenAI/LLM and LLMOps expertise required limits cross-industry transferability.
Multiple mandatory GenAI/LLM technical skills plus a 3+ years requirement create strict shortlisting filters.
Design and manage ML pipelines including experiment, model, feature management, and model retraining with tools like MLflow, SageMaker, Vertex AI, Azure AI.
Develop and optimize serving solutions for large language models with expertise in GPU architectures and distributed training using frameworks like DeepSpeed, vLLM.
Implement DevOps and LLMOps best practices, utilizing Kubernetes, Docker, and orchestration frameworks such as Flowise, Langflow, and Langgraph.
3+ years of relevant work experience in Gen AI, LLM, and related data/AI technologies.
Mandatory skills include Gen AI, LLM, Huggingface, Python, PyTorch/TensorFlow/Keras, Langchain, Langgraph, Docker, Kubernetes.
Bachelor's or Master's degree in Engineering (BE/B.Tech or ME), MBA or MCA.
Proficiency with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker) required.
Experienced in designing scalable ML pipelines and deploying LLM solutions at production scale in cloud and containerized environments.
Strong expertise in fine-tuning and optimizing large language models to improve latency, accuracy, and resource efficiency.
Comfortable with advanced LLMOps tooling and capable of managing end-to-end ML lifecycle in advisory or client-facing roles.