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Lead AI Developer and DevOps

5 - 9 years

0 Lacs

haryana

Posted:2 days ago| Platform: Shine logo

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Skills Required

jax docker kubernetes aws azure gcp deepspeed hugging face transformers pytorch tensorflow langchain llamaindex python programming ec2 s3 sagemaker google cloud ml engine databricks vector databases rag implementations prompt engineering fewshot chainofthought cot prompting finetuning model customization knowledge graphs relevance engineering

Work Mode

On-site

Job Type

Full Time

Job Description

The role requires you to lead the collaboration with ML Engineers and DevOps Engineers to formulate AI designs that can be built, tested, and deployed through the Route to Live and into Production using continuous integration/deployment. In this role, you will be responsible for Model Development & Deployment, including model fine-tuning using open-source libraries like DeepSpeed, Hugging Face Transformers, JAX, PyTorch, and TensorFlow to enhance model performance. You will also work on deploying and managing Large Language Models (LLMs) on cloud platforms, training and refining LLMs, and scaling LLMs up and down while ensuring blue/green deployments and roll back bad releases. Your tasks will also involve Data Management & Pipeline Operations, such as curating and preparing training data, monitoring data quality, transforming and aggregating data, building vector databases, and making data visible and shareable across teams. Monitoring & Evaluation will be a crucial part of your role, where you will track LLM performance, identify errors, optimize models, and create model and data monitoring pipelines with alerts for model drift and malicious user behavior. Infrastructure & DevOps tasks will include continuous integration and delivery (CI/CD), managing infrastructure for distributed model training using tools like SageMaker, Ray, Kubernetes, and deploying ML models using containerization technologies like Docker. Required Technical Skills for the role include proficiency in programming languages like Python, frameworks like PyTorch and TensorFlow, expertise in cloud platforms like AWS, Azure, or GCP, experience with containerization technologies, and familiarity with LLM-Specific Technologies such as vector databases, prompt engineering, and fine-tuning techniques. The position is located at DGS India in Pune, Baner, and falls under the Brand Merkle. It is a Full-Time role with a Permanent contract.,

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