JOB TITLE : Senior ML

Experience : 5 to 8 years

Location : Bangalore, Karnataka, India

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Position Overview

As a MLE-2, you will design, implement, and optimize AI solutions while ensuring model success. You will lead the ML lifecycle from development to deployment, collaborate with cross-functional teams, and enhance AI capabilities to drive innovation and impact.

Key Responsibilities :

- Design and implement AI product features.
- Maintain and optimize existing AI systems.
- Train, evaluate, deploy, and monitor ML models.
- Design ML pipelines for experiment, model, and feature management.
- Implement A/B testing and scalable model inferencing APIs.
- Optimize GPU architectures, parallel training, and fine-tune models for improved performance.
- Deploy LLM solutions tailored to specific use cases.
- Ensure DevOps and LLMOps best practices using Kubernetes, Docker, and orchestration frameworks.

Technical Requirements :

- LLM & ML : Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama
- LLMOps : MLFlow, Langchain, Langgraph, LangFlow, Langfuse, LlamaIndex, SageMaker, AWS Bedrock, Azure AI
- Databases : MongoDB, PostgreSQL, Pinecone, ChromDB
- Cloud : AWS, Azure
- DevOps : Kubernetes, Docker
- Languages : Python, SQL, JavaScript




- Certifications (Bonus) : AWS Qualified Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert

What You"ll Do :

- Collaborate with cross-functional teams to design and build scalable ML solutions.
- Implement state-of-the-art ML techniques, including NLP, Generative AI, RAG, and Transformer architectures.
- Deploy and monitor ML models for high performance and reliability.
- Innovate through research, staying ahead of industry trends.
- Build scalable data pipelines following best practices.
- Present key insights and drive decision-making.

What You Need to Succeed :

- Masters degree or equivalent experience in Machine Learning.
- 3+ years of industry experience in ML, software engineering, and data engineering.
- Proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
- Strong programming skills in Python and JavaScript.
- Hands-on experience with ML Ops practices.
- Ability to work with research and product teams.
- Excellent problem-solving skills and a track record of innovation.
- Passion for learning and applying the latest technological advancements.

📌 Senior Machine Learning Engineer (Bengaluru)
🏢 YO IT CONSULTING
📍 Bengaluru