AI / ML / NLP Architect

• Lead end-to-end architecture and solution design for AI, ML, and NLP initiatives.
• Develop scalable, production-grade machine learning and NLP models using Python.
• Drive the adoption of modern AI technologies, frameworks, and best practices across teams.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Design and implement data pipelines, feature engineering workflows, and model deployment strategies.
• Evaluate new AI/ML tools, libraries, and platforms to determine feasibility and potential adoption.
• Ensure model performance, reliability, explainability, and compliance with responsible AI standards.
• Review code, provide technical leadership, and mentor junior engineers.
• Work closely with DevOps/MLOps teams to operationalize and continuously improve ML models.
  

Required Skills & Experience

• 12+ years of experience in AI, ML, NLP, or Data Science, with at least 4–5 years in an architect role.
• Strong hands-on expertise in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, spaCy, Hugging Face Transformers, etc.
• Deep understanding of NLP techniques including LLMs, embeddings, RAG architectures, text classification, NER, summarization, and conversational AI.
• Proven experience designing and deploying end-to-end ML pipelines in production.
• Strong knowledge of cloud platforms (AWS/Azure/GCP) and MLOps tools (SageMaker, MLflow, Kubeflow, Docker, Kubernetes).
• Experience with vector databases, feature stores, and modern data engineering frameworks.
• Solid understanding of data structures, algorithms, distributed systems, and software architecture.
• Strong communication and stakeholder management skills.