Manager - AIML Model SME

About Sutherland

Artificial Intelligence. Automation.Cloud engineering. Advanced analytics.For business leaders, these are key factors of success. For us, they’re our core expertise.

We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.

We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.

For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA.We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.
Sutherland

Unlocking digital performance. Delivering measurable results.

We are seeking an experienced AIML Subject Matter Expert (SME) to lead and support the development, implementation, and optimization of AI/ML-driven solutions. The ideal candidate will have deep expertise in artificial intelligence and machine learning, with a strong ability to collaborate with cross-functional teams, mentor junior staff, and drive innovation in complex projects.

Key Responsibilities

1.AI/ML Solution Development:

• Design and implement AI/ML models for predictive analytics, process automation, and optimization.
• Oversee the lifecycle of machine learning projects, from ideation to deployment.

2. Technical Leadership:

• Provide strategic guidance on AI/ML technologies, frameworks, and best practices.
• Collaborate with stakeholders to align technical solutions with business objectives.

3. Content and Process Support:

• Work closely with trainers to prepare technical content for AI training programs.
• Assist in defining technical process flows and ensure seamless knowledge transfer.

4. Continuous Improvement:

• Establish feedback loops to refine and enhance AI/ML models.
• Monitor performance metrics and implement updates to improve efficiency and accuracy.

5. Mentorship and Knowledge Sharing:

• Mentor junior data scientists and engineers, fostering a culture of continuous learning.
• Share domain knowledge to strengthen the team’s technical capabilities.

Qualifications and Skills:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 10+ years of experience in AI/ML development and deployment.
• Proficiency in machine learning frameworks (TensorFlow, PyTorch, etc.) and programming languages (Python, R, etc.).
• Strong knowledge of cloud platforms (AWS, Azure, OCI, etc.) for AI/ML model deployment.
• Expertise in designing solutions for diverse industries and business challenges.
• Excellent communication and presentation skills to work with both technical and non-technical stakeholders.
• Proven ability to work independently and in collaborative environments.