· 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
· 9+ 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 experienc

📌 AI Team Lead (Hyderabad)
🏢 Genzeon Global
📍 Hyderabad