Senior Machine Learning Engineer

ML Engineer – Classical ML, Agentic AI, GenAI & Databricks Company: Celebal Technologies Contract: 3 Months, with potential extension based on project requirements and candidate performance Role Type: Remote Interview Process: 2 Technical Rounds – Both Virtual Candidate Requirements Candidate must be a U.S. Citizen or Green Card holder. Candidates may work on 1099 or Corp-to-Corp (C2C). For C2C engagement, the candidate must have their own corporation/company. Third-party corporations or third-party employers are not acceptable for the C2C arrangement. Job Summary Celebal Technologies is looking for an experienced Machine Learning Engineer with strong expertise in Classical Machine Learning, Generative AI, Agentic AI, and Databricks. The ideal candidate will have hands-on experience developing, deploying, and optimizing machine learning and AI solutions in enterprise environments. Required Skills Strong hands-on experience in Machine Learning / ML Engineering. Strong knowledge of Classical/Traditional Machine Learning algorithms. Hands-on experience with Generative AI and LLM-based applications. Experience building Agentic AI / AI Agent workflows. Strong experience with Databricks. Experience with Python, Pandas, NumPy, and Scikit-learn. Experience with PySpark / Apache Spark. Experience with MLflow and MLOps concepts. Knowledge of RAG, embeddings, vector databases, prompt engineering, and LLM integration. Experience with cloud platforms such as Azure, AWS, or GCP is a plus. Strong problem-solving and communication skills.