AI/ML Engineer

Position: AI/ML Engineer Location: Remote Duration: Long-term Contract Job Summary: Seeking a highly skilled AI/ML Engineer with strong end-to-end experience in building, deploying, and maintaining production-grade ML and agentic systems. The ideal candidate will have a solid foundation in classical machine learning, deep learning, and MLOps, with hands-on expertise in frameworks like LangChain or AutoGen and practical experience implementing RAG-based workflows and model fine-tuning. Must-Have: • Proven experience delivering production ML systems and agentic frameworks to real users • Strong classical ML knowledge: feature engineering, model validation, calibration, interpretability, and time-series forecasting • Expertise in deep learning (CNN, RNN, Transformers) and fine-tuning (LoRA, QLoRA, instruction tuning) • Hands-on with MLOps tools: MLflow, FastAPI, TorchServe, or similar model serving and tracking tools • Skilled in Python with ML stack (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow, XGBoost) • Experience with agent frameworks (LangGraph, LangChain, AutoGen) and RAG design (FAISS, Pinecone, Weaviate) Responsibilities: • Design, develop, and deploy end-to-end ML/AI systems in production environments • Build and productionize multi-step agentic workflows with retrieval, planning, and human-in-the-loop mechanisms • Implement and optimize classical ML and deep learning models for various problem statements • Develop scalable data pipelines and ensure robust model performance monitoring and drift detection • Collaborate cross-functionally to translate business needs into high-performing, reliable AI solutions • Independently drive project execution from concept to deployment with minimal supervision