Sr AI/Machine Learning Engineer

2 days ago

Bengaluru, Karnataka, India YO HR Consultancy Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Position Overview
As an Sr
MLE
, you will be responsible for designing, implementing, and optimizing cutting-edge AI and machine learning solutions that deliver measurable business impact. You will lead the
end-to-end ML lifecycle
— from model development to deployment — while collaborating closely with cross-functional teams to enhance AI capabilities and drive innovation across products and platforms.

Key Responsibilities

  • Design, implement, and maintain AI product features and scalable ML systems.
  • Train, evaluate, deploy, and monitor machine learning models to ensure performance and reliability.
  • Develop and manage ML pipelines for experiments, models, and features.
  • Implement A/B testing, model inferencing APIs, and performance optimization.
  • Optimize GPU architectures, parallel training, and model fine-tuning for efficiency.
  • Deploy and customize LLM (Large Language Model) solutions for various use cases.
  • Ensure DevOps and LLMOps best practices using Kubernetes, Docker, and modern orchestration frameworks.

Technical Requirements
LLM & ML Frameworks:
Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama

LLMOps Tools:
MLFlow, LangChain, LangGraph, LangFlow, LangFuse, LlamaIndex, SageMaker, AWS Bedrock, Azure AI

Databases:
MongoDB, PostgreSQL, Pinecone

Cloud Platforms:
AWS, Azure

DevOps:
Kubernetes, Docker

Languages:
Python, SQL, JavaScript

Certifications (Bonus)

  • AWS Professional Solution Architect
  • AWS Machine Learning Specialty
  • Azure Solutions Architect Expert

What You'll Do

  • Collaborate with cross-functional teams to design and deploy scalable machine learning solutions.
  • Implement state-of-the-art techniques, including NLP, Generative AI, RAG, and Transformer architectures.
  • Build and maintain data pipelines following best practices.
  • Deploy and monitor ML models to ensure high performance and reliability.
  • Conduct research to identify and apply emerging trends in AI and ML.
  • Present insights, results, and recommendations to drive strategic decisions.

What You Need To Succeed

  • Master's degree or equivalent experience in Machine Learning, Computer Science, or related field.
  • 5+ years of experience in machine learning, software engineering, or data engineering.
  • Strong proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Solid programming experience in Python and JavaScript.
  • Hands-on expertise in ML Ops and cloud deployment practices.
  • Proven ability to collaborate with research and product teams.
  • Excellent problem-solving skills and an innovative mindset.
  • Passion for continuous learning and applying the latest AI advancements.

Skills: rag,tensorflow,javascript,generative ai,hugging face oss llms,,large language model,artificial intelligence,llmops,python,pytorch,llm,ai,scikit-learn,machine learning,ml,aws

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