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AI ML Engineer

icon building Company : Weekday Ai
icon briefcase Job Type : Full Time

Number of Applicants

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Job Description - AI ML Engineer

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

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