ML Engineer - 3+ Years
Experience - 3+ Years
Notice Period - Immediate to 30 Days
Qualification - BTech/BE/Masters is mandatory
Key Responsibilities:
• Design, develop, and optimize AI/ML models for real-world applications.
• Build and maintain pipelines using LangChain/LangGraph to integrate LLMs into production workflows.
• Work with data ingestion, preprocessing, and feature engineering to ensure model readiness.
• Collaborate with product and engineering teams to deliver scalable AI solutions.
• Optimize performance of deployed models and ensure reliability in production environments.
• Stay updated with advancements in generative AI, LLM orchestration, and emerging ML frameworks.
Required Skills & Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
• 3+ years of experience in AI/ML engineering.
• Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy.
• Proven experience in building LLM applications using LangChain and/or LangGraph.
• Good understanding of natural language processing (NLP) techniques.
• Knowledge of REST APIs, data pipelines, and cloud platforms (AWS/Azure/GCP).
• Strong problem-solving, debugging, and optimization skills.
Nice to Have:
• Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS).
• Experience with orchestration tools for multi-agent AI systems.
• Exposure to MLOps practices for deployment and monitoring