AI Trainer Graduate Fresher Jobs in Nashik

Key ResponsibilitiesGenerative AI Development (50%)Architect, build, and deploy production-ready Generative AI solutions using Python, LangChain/LlamaIndex, OpenAI API, Anthropic, Hugging Face, and open-source LLMs (Llama, Mistral).Design and implement Retrieval-Augmented Generation (RAG) architecture using vector databases (Chroma, Pinecone, FAISS, Qdrant) for enterprise document intelligence and semantic search.Build multi-agent AI systems, custom chatbots, and workflow automation using tools like CrewAI, AutoGen, and LangGraph.Fine-tune, evaluate, and optimize open-source foundation models for domain-specific tasks and latency/cost efficiencies.Integrate GenAI backend pipelines with RESTful APIs (FastAPI/Flask) and front-end application interfaces.Technical Training & Mentorship (50%)Deliver hands-on, structured training modules on Generative AI concepts, Prompt Engineering, Fine-tuning, RAG architecture, Vector DBs, and AI Application Development.Mentor trainees, students, and developers through live AI build projects, code reviews, and real-world debugging workflows.Develop up-to-date curricula, practical lab exercises, coding benchmarks, and project blueprints reflecting current GenAI industry practices.Conduct technical assessments, hackathons, and mock technical interviews to prepare candidates for corporate AI roles.

We are looking for an enthusiastic IT Trainer to join our team in Nashik. This role involves teaching a variety of IT concepts and skills to students or employees, ensuring they understand and can apply their knowledge effectively.Key Responsibilities:- Conduct Training Sessions: Organize and lead sessions on various IT topics such as software applications, coding, and hardware troubleshooting, tailoring content to suit the audience

Key ResponsibilitiesDesign, develop, and implement machine learning models and AI solutions.Build and optimize data pipelines for model training, validation, and deployment.Analyze large datasets to identify patterns, trends, and business insights.Develop, test, and deploy predictive, classification, recommendation, and generative AI models.Monitor model performance and retrain models as needed to maintain accuracy.Collaborate with cross-functional teams to integrate AI solutions into products and business processes.Apply best practices for data quality, model governance, security, and scalability.Research and evaluate emerging AI/ML technologies, tools, and frameworks.Document model architecture, development processes, and technical specifications.Ensure AI solutions comply with ethical, legal, and organizational guidelines.