Gen AI Developer Specialist

Key Responsibilities: AI & ML Model Development: • Execute PoCs and MVPs for AI and ML projects, focusing on practical implementation. • Develop and refine ML models, including supervised and unsupervised learning algorithms. • Build and deploy GenAI solutions, such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and chatbots. • Collaborate with AI Engineers to integrate models into enterprise applications. Data Handling & Preprocessing: • Collect, clean, and preprocess data to ensure quality inputs for model training. • Conduct exploratory data analysis (EDA) to uncover insights and inform model development. • Work with Data Engineers to ensure smooth data pipelines and infrastructure. Model Evaluation & Optimization: • Evaluate model performance using appropriate metrics and fine-tune algorithms for optimal results. • Monitor GenAI outputs for issues such as bias, hallucinations, and accuracy. • Implement feedback loops for continuous model improvement. Collaboration & Documentation: • Work closely with the AI Lead and cross-functional teams to align projects with business objectives. • Document model development processes, code, and findings for transparency and reproducibility. • Contribute to the development of best practices and playbooks for AI and ML solutions. Continuous Learning & Development: • Stay updated with the latest trends and advancements in AI, ML, and GenAI technologies. • Participate in team knowledge-sharing sessions and training opportunities. Qualifications & Skills: Education: