AI/ML/NLP Architect

About the job :

We are looking for a highly experienced AI/ML/NLP Architect to lead the design, development, and implementation of advanced machine learning and natural language processing solutions.

The ideal candidate will have strong hands-on expertise in Python, deep knowledge of modern AI frameworks, and the ability to architect scalable AI systems that solve complex business problems.

Key Responsibilities :

- 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.