This role is Office Based, Hyderabad Office Join our dynamic AI engineering team to contribute to cutting-edge Generative AI projects (e.g., chatbots, recommendation engines, coaching assistants). You’ll support senior engineers in building, training, and deploying NLP models while learning advanced ML techniques. This role is ideal for a motivated individual eager to grow in AI/ML with hands-on experience in scalable systems.In this role, you will…LLM Development and OptimizationsAssist in designing, fine-tuning, and optimizing LLMs for agentic workflows, content generation, and recommendation systems. Conduct data preprocessing, feature engineering, and exploratory analysis to enhance model performance. Implement and experiment with advanced deep learning techniques, including reinforcement learning and prompt engineering, for generative AI applications. Deployment & MonitoringSupport deployment of ML models into production environments. Help build monitoring tools to track model performance and data drift. CollaborationWork with cross-functional teams (engineers, product managers) to deliver high-quality AI solutions. Document processes and present findings to stakeholders. Continuous LearningStay updated on advancements in generative AI, NLP, and ML frameworks (e.g., PyTorch, Hugging Face). Participate in code reviews and adopt best practices in ML ops. You’ve Got What It Takes If You Have…Programming: Python (pandas, NumPy), SQL ML/NLP: Familiarity with PyTorch, transformers, embeddings, and attention mechanisms and basics of GenAI Tools: Git, Docker, cloud platforms (AWS /GCP) Data: Handling Data cleaning, preprocessing, and visualization (Matplotlib/Seaborn) Deployment: Basic knowledge of REST APIs, CI/CD pipelines Soft SkillsCollaborative Mindset: Team player who thrives in a fast-paced, results-driven environment. Adaptability: Willingness to learn new tools/technologies (e.g., LangChain, vector databases). Problem-Solving: Analytical thinker with attention to detail. Communication: Ability to explain technical concepts to non-technical stakeholders.