Design, develop, and deploy machine learning and deep learning models for classification, regression, clustering, forecasting, anomaly detection, and predictive analytics use cases.
• Build and optimize feature engineering pipelines and data preprocessing workflows for structured and unstructured datasets.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and actionable insights from large-scale healthcare and business datasets.
• Develop and evaluate models using appropriate metrics, cross-validation, and experimentation frameworks.
• Implement NLP solutions for text classification, entity extraction, summarization, and information retrieval.
• Design and fine-tune Large Language Models (LLMs) and transformer-based architectures for domain-specific applications.
•Apply transfer learning and prompt engineering techniques to adapt foundation models to business and healthcare use cases.
• Build AI-driven document intelligence solutions using models such as LayoutLM, Donut, and Table Transformers for key-value extraction and document understanding.




• Support MLOps and model deployment, including Docker-based packaging, cloud deployment, monitoring, and performance optimization.
•Collaborate with product, engineering, and business teams to translate business problems into AI/ML and GenAI solutions.
•Research and experiment with emerging AI technologies, including RAG (Retrieval-Augmented Generation), LLM alignment techniques (RLHF, DPO, PPO, KTO), and model optimization methods.

Requirements
•5+ years of hands-on experience in AI/ML model development and deployment.
•Solid understanding of machine learning, deep learning, neural network architectures, training methodologies, and optimization algorithms.
•Proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Scikit-Learn, Pandas, and NumPy.
•Experience with NLP libraries such as Hugging Face Transformers, spaCy, and NLTK.
•Hands-on experience with LLM fine-tuning, prompt engineeri

📌 Senior AI Engineer (Pune)
🏢 Genzeon Global
📍 Pune