Job Description

Full-time, permanent role Remote across India; up to 25 % travel for on-site bootcamps Mix of work: 60 % training delivery 20 % curriculum/content development 20 % client project coding Teach live-virtual, hybrid, and occasional on-site programs covering Python, NumPy/Pandas, TensorFlow, PyTorch, LangChain, Databricks, BigQuery ML, and GenAI best practices.Build & maintain Jupyter notebooks, lab datasets, slide decks, auto-graded challenges, and real-world case studies.Contribute to client projects: develop ML models, fine-tune LLMs, build RAG pipelines, or set up ML workflows turning that work into new classroom material.Collect learner feedback, iterate course content, and help junior facilitators grow.Partner with sales/SME teams to scope custom training engagements. 3 - 10 years hands-on data-science or MLOps experience with strong Python.Production use of TensorFlow or PyTorch, plus LangChain for GenAI workflows.Comfort with Databricks or Spark, and BigQuery ML (or similar cloud ML service).Able to explain core ML concepts, evaluation, and deployment clearly to mixed-level audiences.Delivered at least 100 learner-hours in classrooms, webinars, or workshops.Solid Git, CI/CD, and cloud fundamentals.scikit-learn, Vertex AI, SageMaker, MLflow/Kubeflow, prompt-engineering & RAG architectures.Experience building chatbots, CV, or tabular-ML solutions across any domain.Certifications such as TensorFlow Developer, AWS ML Specialty, Databricks Certified (we sponsor exam fees).