Generative AI Engineer - NLP/Machine Learning

About the Role We are seeking a dynamic and forward-thinking Generative AI Lead to drive cutting-edge AI/ML initiatives focused on generative models, NLP, and computer vision. The ideal candidate will have strong experience in designing and deploying GenAI systems, working with leading frameworks, and leading cross-functional teams to build production-grade AI applications. This is a high-impact role that blends deep technical expertise with strategic vision and hands-on leadership. Key Leadership & Innovation - Lead the end-to-end development of Generative AI solutions using state-of-the-art models and frameworks. - Stay current with trends in LLMs, Agentic AI, and multimodal learning, and apply them in business contexts. GenAI Model Development - Work with Amazon Bedrock, SageMaker, Hugging Face, and LangChain to develop, fine-tune, and deploy GenAI models. - Build and implement Autonomous Agents and Agentic AI workflows for task automation and decision-making processes. Real-World Application Integration - Translate business problems into AI solutions by integrating generative models into real-world products and platforms. - Collaborate with engineering, product, and business teams to embed GenAI functionalities into core applications. MLOps & Deployment - Lead MLOps practices for lifecycle management, model versioning, monitoring, and CI/CD pipelines for GenAI projects. - Optimize models for performance, scalability, and cost-effectiveness. Research & Problem Solving - Conduct applied research to evaluate and improve generative models. - Maintain a strong experimental mindset, testing new techniques and architectures. Team Leadership - Manage cross-functional teams including ML engineers, data scientists, and developers. - Provide mentorship and foster a collaborative, research-driven team culture. Technical Skills Required Generative AI & ML Frameworks - Amazon Bedrock, SageMaker - Hugging Face Transformers & Diffusers - LangChain, LlamaIndex, Weaviate (or similar) - OpenAI APIs, Cohere, Claude (nice to have) Programming & Deep Learning - Python (advanced level) - Deep Learning: PyTorch, TensorFlow - Data Processing: Pandas, NumPy, Scikit-learn - Prompt engineering and fine-tuning of LLMs (GPT, BERT, LLaMA, etc.) Natural Language Processing & Computer Vision - NLP: Named Entity Recognition, Text Summarization, QA systems, Chatbots - CV: Image Generation (e.g., Stable Diffusion), Object Detection, OCR, GANs MLOps & DevOps Tools - MLflow, Kubeflow, DVC - Docker, Kubernetes, Airflow - Git, CI/CD pipelines - Cloud: AWS (SageMaker, Lambda, S3), Azure, or GCP Agentic AI & Workflow Automation - Experience designing and implementing Agentic AI workflows, including autonomous multi-agent systems - Integration with tools like LangGraph, ReAct, AutoGPT (plus) Qualifications & Experience - Bachelor's or Masters degree in Computer Science, AI, Machine Learning, or a related field. - 612 years of experience in AI/ML with at least 23 years in Generative AI and LLMs. - Proven track record of leading AI teams and delivering successful AI/ML projects in production. - Strong research and analytical skills with publications/patents in AI (a plus). Soft Skills & Mindset - Excellent problem-solving and analytical thinking - Strong communication and stakeholder engagement skills - Passion for emerging technologies and continuous learning - Ability to work in a fast-paced, innovative, and collaborative environment (ref:hirist.tech)

Location: mumbai, IN

Posted Date: 4/19/2025