Description

What's the Job?

• Design and implement comprehensive end-to-end AI/ML architectures, including data ingestion, feature engineering, model deployment, and monitoring.
• Partner with business and technical teams to translate use cases into scalable AI solutions, supporting enterprise goals.
• Establish and promote best practices for AI adoption, including reusable patterns, accelerators, and governance frameworks.
• Collaborate with data architecture teams to ensure data quality, lineage, and governance for AI workloads.
• Provide technical leadership, mentorship, and guidance to data scientists, ML engineers, and platform teams.

What's Needed?

• 8+ years of experience in data, analytics, or platform architecture roles with a focus on AI/ML solutions at scale.
• Proven expertise in deploying AI models into production environments and managing end-to-end AI architecture.
• Strong knowledge of machine learning, deep learning, and Generative AI concepts, along with Python, SQL, and ML frameworks like TensorFlow and PyTorch.
• Experience with cloud AI platforms (Azure, AWS, GCP), MLOps tools, and data engineering platforms such as DataStage or Spark.
• Excellent communication skills, with the ability to engage with leadership and manage stakeholder expectations effectively

Key Skills

Education

Any Graduate