AI/ML Architect

About the Role :

We are looking for a highly skilled and experienced AI/ML Architect to lead the design, development, and deployment of scalable, enterprise-grade artificial intelligence and machine learning solutions.

This role requires a strong blend of technical depth, architectural vision, and business understanding to translate complex requirements into robust AI-driven systems. You will play a critical role in shaping the organizations AI strategy and driving innovation across products and platforms.

Key Responsibilities :

- Define and lead the end-to-end architecture for AI/ML solutions, ensuring scalability, reliability, and performance

- Design and implement machine learning models, data pipelines, and AI-driven applications

- Oversee the full ML lifecycledata ingestion, preprocessing, model development, training, evaluation, deployment, and monitoring

- Build and optimize large-scale data pipelines for structured and unstructured data

- Evaluate and select appropriate ML frameworks, tools, and technologies

- Leverage cloud-based AI/ML services (AWS, Azure, GCP) for scalable deployments

- Collaborate with cross-functional teams (engineering, product, data science) to translate business requirements into technical solutions

- Establish best practices, standards, and governance for AI/ML development and deployment

- Drive model performance optimization, explainability, and reliability

- Ensure compliance with data privacy, security, and ethical AI guidelines

- Mentor and guide engineering and data science teams, fostering a culture of innovation and excellence

Required Candidate Profile :

- Proven experience as an AI/ML Architect, Technical Architect, or similar leadership role

- Strong expertise in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn

- Deep understanding of data engineering and pipeline architectures

- Hands-on experience in model lifecycle management (ML Ops)

- Strong proficiency in programming languages such as Python, Java, or Scala

- Experience with cloud platforms like AWS, Azure, or Google Cloud (AI/ML services)

- Solid understanding of data structures, algorithms, and distributed systems

- Ability to design solutions that align with business goals and technical constraints

- Excellent problem-solving, communication, and stakeholder management skills

Preferred Qualifications :

- Experience working in product-based organizations or high-scale environments

- Knowledge of deep learning, NLP, computer vision, or generative AI use cases

- Familiarity with containerization and orchestration tools (Docker, Kubernetes)

- Exposure to big data technologies (Spark, Hadoop, Kafka)

- Understanding of model explainability, fairness, and responsible AI practices

- Advanced degree in Computer Science, Data Science, AI, or related field