Key Responsibilities
- Lead the design and implementation of AI/ML models and solutions for complex business problems.
- Work on NLP, LLMs, and Generative AI to build intelligent systems and conversational agents.
- Develop and optimize models using Python, TensorFlow, PyTorch, and Scikit-Learn.
- Apply deep learning and transformer-based architectures (e.g., BERT, GPT, etc.) for NLP and vision tasks.
- Implement computer vision solutions using OpenCV and related tools.
- Collaborate with cross-functional teams to integrate AI models into production systems.
- Apply MLOps best practices and manage CI/CD pipelines for model deployment.
- Stay updated with the latest AI research, LLM, and Agentic AI trends, and drive innovation across teams.
Required Skills & Qualifications
- 8+ years of total IT experience, with at least 4+ years in AI/ML development.
- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
- Experience with NLP libraries such as spaCy, Hugging Face Transformers, etc.
- Solid understanding of AI/ML algorithms, data preprocessing, and model evaluation techniques.
- Hands-on experience with Generative AI, LLMs, and Agentic AI.
- Working knowledge of MLOps tools and CI/CD pipelines for AI model deployment.
- Familiarity with computer vision frameworks (OpenCV, etc.).
- Excellent problem-solving and communication skills, with the ability to lead and mentor junior engineers.
