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 Professional 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 Master s degree or equivalent experience in Machine Learning 5 years of industry experience in ML software engineering and data engineering Proficiency in Python PyTorch TensorFlow and Scikit-learn Robust 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 (Karnataka)
🏢 YO IT CONSULTING
📍 Karnataka