IN_Senior Associate_Gen AI_Data and Analytics_Advisory_Bangalore

Role Overview

Responsibilities

• Design ML pipelines for experiment management, model management, feature management, and model retraining.
• Design APIs for model inference at scale.
• Develop distributed training and serving solutions for large language models using model and data parallel approaches.
• Fine-tune and optimize LLM and LVM models to improve latency and accuracy while reducing resource requirements.
• Apply DevOps and LLMOps practices using Kubernetes, Docker, and container orchestration.
• Use LLM orchestration frameworks such as Flowise, Langflow, and LangGraph.

Technical Skills

• Mandatory skills include generative AI, LLMs, Hugging Face, Python, PyTorch, TensorFlow or Keras, LangChain, LangGraph, Docker, and Kubernetes.
• The skill matrix includes GPT, Gemini, Claude, Mixtral, Llama, MLflow, LlamaIndex, AWS Bedrock, Vertex AI, Azure AI, and cloud platforms.
• Data platforms listed include DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostgreSQL, Aurora, Spanner, and Google BigQuery.
• DevOps technologies listed include Fluentd, Kibana, Grafana, and Prometheus.

Requirements

• At least 3 years of experience is required.
• The source lists BE, B.Tech, MBA, or MCA and separately identifies Master of Engineering or Bachelor of Engineering as required fields of study.
• SQL, machine learning, and data science are listed as preferred skills.

Preferred Certifications

• AWS Professional Solutions Architect, AWS Machine Learning Specialty, and Azure Solutions Architect Expert certifications are listed as bonus qualifications.