This role is for one of the Weekday's clients
Salary range: Rs ****** - Rs ******* (ie INR 8-20 LPA)
Min Experience: 6 years
Location: Bengaluru, Karnataka, NCR, Delhi
JobType: full-time
Key Responsibilities:
ML Pipeline Design
Design and implement scalable ML pipelines for experiment tracking, model management, feature management, and model retraining.
Develop APIs for high-performance model inferencing.
Hands-on experience with MLflow, SageMaker, Vertex AI, and Azure AI.
LLM Serving & GPU Architecture
Deep understanding of GPU architectures for ML workloads.
Expertise in distributed training and serving of large language models (LLMs).
Skilled in model/data parallel training using frameworks such as DeepSpeed and serving frameworks like vLLM.
Model Fine-Tuning & Optimization
Fine-tune and optimize LLM and LVM models for improved latency and accuracy.
Reduce training time and resource requirements for large-scale model deployments.
DevOps & LLMOps




Proficient in DevOps and LLMOps practices, including Kubernetes, Docker, and container orchestration.
Experience with LLM orchestration frameworks such as Flowise, Langflow, and Langgraph.
Technical Skills & Tools:
LLM Frameworks:
Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama
LLMOps Tools:
MLflow, Langchain, Langgraph, LangFlow, Flowise, LlamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI
Databases/Data Warehouses:
DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostgreSQL, Aurora, Spanner, Google BigQuery
Cloud Platforms:
AWS, Azure, GCP
DevOps Tools:
Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus
Programming & Scripting:
Python, SQL, JavaScript
Bonus:
AWS Skilled Solutions Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert

📌 Ai Ml Engineer (Delhi)
🏢 Weekday AI
📍 Delhi