AI/ML Solution Architect

Responsibilities

• Design and implement end-to-end scalable AI/ML solutions, including data pipelines and model deployment.
• Define and optimize secure architectures for ML workloads in cloud and on-prem environments.
• Collaborate with business leaders to identify AI/ML opportunities and develop solution roadmaps.
• Provide technical leadership in AI governance, best practices, and emerging technologies.
• Architect MLOps pipelines for CI/CD, model versioning, and lifecycle management.
• Ensure data quality, governance, and compliance throughout the AI/ML processes.
• Act as a liaison between data scientists, engineers, and business stakeholders to drive successful outcomes.
• Lead design reviews and architecture discussions to support strategic AI initiatives.

Must-Have

• Bachelors / Master degree in computer science, data science, AI or related field with 10+ years in software engineering, data engineering or architecture roles
• 5+ years hands-on experience in AI/ML solutions in production environments
• Familiar with machine learning algorithms (supervised, unsupervised, deep learning) and with edge AI, IoT analytics, or real-time ML systems
• Experience with frameworks such as TensorFlow, PyTorch, and Scikit-learn
• Proficiency in Python with familiarity in Java/Scala
• Hands-on experience with cloud platforms like Azure, AWS, or GCP
• Experience with MLOps tools such as MLflow, Kubeflow, or SageMaker
• Exposure to Generative AI, NLP, and LLM-based applications

Nice-To-Have