Machine Learning Engineer-2

6 days ago


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

As an MLE-2, 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.

  • 3+ 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.



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