Senior AI/ML Developer

Senior AI/ML Developer to design, develop, and deploy enterprise-grade artificial intelligence and machine learning solutions. This role focuses on Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), NLP, and Computer Vision to drive digital transformation initiatives across advisory and consulting engagements. The ideal candidate will have strong hands-on experience building production-scale AI applications, working across cloud platforms, and collaborating with cross-functional teams in an enterprise environment. Key Responsibilities AI / ML & Generative AI Development Design, develop, and deploy end-to-end AI/ML solutions with a focus on Generative AI and LLM-based systems Build and optimize Retrieval-Augmented Generation (RAG) platforms supporting multiple document formats (PDF, DOCX, PPT, CSV, Excel) Implement NLP solutions including text summarization, sentiment analysis, classification, named entity recognition, and intelligent search Develop multimodal AI systems combining text, image, and document understanding Apply Computer Vision techniques for OCR, image recognition, and unstructured document processing LLMs & Frameworks Work with LLMs such as OpenAI, Claude, Gemini, LLaMA Use frameworks like LangChain, NeMo Guardrails, and prompt engineering techniques Build AI safety, observability, and monitoring mechanisms for LLM applications Optimize model performance, cost, latency, and accuracy in production Cloud & Platform Engineering Deploy AI solutions on Azure, AWS, or Google Cloud Platform Integrate AI services with enterprise systems, APIs, and microservices Ensure scalability, reliability, and security of AI platforms Implement CI/CD pipelines and MLOps best practices Leadership & Collaboration Lead and mentor AI/ML developers and engineers Collaborate with business stakeholders, product owners, and architects to translate business needs into AI solutions Participate in architectural design, code reviews, and best-practice enforcement Support client-facing discussions and technical solutioning Required Qualifications Technical Skills 7+ years of experience in AI/ML engineering or advanced software development Strong proficiency in Python and JavaScript Hands-on experience with: LLMs & GenAI (OpenAI, Claude, Gemini, LLaMA) NLP libraries (SpaCy, NLTK) ML/DL frameworks (TensorFlow, PyTorch preferred) Computer Vision (OpenCV, OCR technologies) Experience with RAG architectures and vector databases API development using FastAPI / Node.js Experience with Azure Cognitive Services, AWS AI services, or Google Cloud Platform AI tools Cloud & DevOps Experience deploying AI solutions on Azure, AWS, or Google Cloud Platform Familiarity with containerization and orchestration (Docker, Kubernetes preferred) Knowledge of MLOps, observability, and monitoring practices Soft Skills Strong problem-solving and analytical abilities Excellent communication and stakeholder management skills Experience working in enterprise/consulting environments preferred Ability to lead initiatives end-to-end with minimal supervision Preferred Qualifications Experience in consulting or professional services firms Experience building AI-powered chatbots (Rasa, Microsoft Bot Framework) Exposure to

RPA + AI

integrations Prior experience in regulated or enterprise-scale environments AI/ML certifications or advanced coursework (Coursera, Stanford, etc.)