This role is for one of the Weekday's clients

Salary range: Rs 800000 - Rs 2000000 (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 Professional Solutions Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert

📌 AI ML Engineer (Delhi)
🏢 Recognized
📍 Delhi