Job Description

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· Architectural Mentorship: Offering support and mentorship to data science and engineering teams throughout the development, deployment, and operationalization of AI models.

· System Integration: Design and facilitate the integration of AI/ML models into existing enterprise applications, APIs, and business workflows.

· Have an excellent technical and commercial understanding in the creation of technology solutions and outcomes for customers.

· Ability to learn emerging technologies and to apply these technologies to tackle business problems

· Strong desire to experiment with and learn new technologies and stay aligned with the latest community developments in AI/ML Ops/Engineering and cloud native solutions.

· Excellent written, verbal and presentation communications skills; you will often find in situations where you have to describe problem statements, solution options, your analysis and recommendations to a mix of technical and non-technical and use strong influencing skills to gain consensus and an agreed way forward.

· Driven digital transformation, roadmaps, target operating models, cost reduction, performance improvement

· To perform this job optimally, an individual will need to perform each crucial duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

· Minimum bachelor’s degree qualification, with strong quantitative background (STEM education background (Science, Technology, Engineering & Mathematics) AND/OR an MBA preferred

· Deep knowledge of AI/ML tech across AWS/Azure and GCP

· Understanding of cloud-native services for data storage, compute, networking, and security

· Proven grasp of statistical concepts (e.g., hypothesis testing, probability distributions, regression analysis).

· Experience with data exploration, feature engineering, and data preprocessing techniques.

· Technical proficiency, including:

· 5+ years of hands-on AI/ML solution architecture and Hands-on prototyping and experimentation.

· 5+ years of AWS/Azure data, Analytics and AI services

· 3+ years hands-on of experience with data science tools and frameworks

· Recent experience in Generative AI, Large Language Models (LLMs), Agentic AI platforms and solutions

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Competencies

Client Centricity Passion for Results Execution Excellence Collaborative Working Learning Agility Problem Solving & Decision Making Effective communication Being Respectful Always Communicating Demonstrating Stewardship Being Responsive Building Trust