Description

Design, develop, and deploy end-to-end machine learning and AI solutions.

This role is hybrid.

Responsibilities

• Design and optimize supervised, unsupervised, and deep learning models.
• Architect scalable AI/ML solutions using Azure and AWS services.
• Implement and maintain CI/CD pipelines for model training and deployment.
• Integrate AI/ML pipelines with data lakes, warehouses, and APIs.
• Ensure solutions adhere to security, compliance (HIPAA, GDPR, SOC 2), and responsible AI principles.

Required Skills

• 5+ years of experience in AI/ML solution development and deployment.
• 3+ years of hands-on experience with Azure and AWS AI/ML services.
• Proficiency in Python and R, including TensorFlow and PyTorch.
• Experience with containerization using Docker and orchestration with Kubernetes (AKS/EKS).
• Familiarity with big data frameworks like Spark and Databricks.
• Strong understanding of cloud-native data storage (Azure Data Lake, AWS S3) and processing.
• Experience building and maintaining ML pipelines using CI/CD tooling.

Preferred Skills

• Experience with Generative AI and LLMs (e.g., OpenAI, Amazon Bedrock).
• Certification in Azure AI Engineer Associate or AWS Machine Learning – Specialty.

Key Skills

Education

Bachelor's or Master's degrees