AI / ML Architect

CES has 26+ years of experience in delivering Software Product Development, Quality Engineering, and Digital Transformation Consulting Services to Global SMEs & Large Enterprises. CES has been delivering services to some of the leading Fortune 500 Companies including Automotive, AgTech, Bio Science, EdTech, FinTech, Manufacturing, Online Retailers, and Investment Banks. These are long-term relationships of more than 10 years and are nurtured by not only our commitment to timely delivery of quality services but also due to our investments and innovations in their technology roadmap. As an organization, we are in an exponential growth phase with a consistent focus on continuous improvement, process-oriented culture, and a true partnership mindset with our customers. We are looking for the right qualified and committed individuals to play an exceptional role as well as to support our accelerated growth .

You can learn more about us at : http : / / www.cesltd.com /

Job Overview :

The AI Solution Architect and CoE Lead will play a pivotal role in leading the design, development, and implementation of artificial intelligence solutions within the organization. This position will also be responsible for driving the strategy for AI excellence and best practices by establishing and overseeing the AI Centre of Excellence (CoE). The CoE will focus on nurturing AI talent, fostering knowledge sharing, and continuously evolving AI practices across the organization.

Key Responsibilities :

1. AI Solution Architecture :

• Design and Develop AI Solutions : Lead the end-to-end process of designing, developing, and deploying AI solutions tailored to business needs.
• Technical Leadership : Provide technical leadership to cross-functional teams working on AI-related projects, ensuring high standards in solution design, integration, and deployment.
• Consulting and Advisory : Work closely with stakeholders to identify business requirements and translate them into AI-powered solutions, including machine learning models, data pipelines, and AI-driven processes.
• Platform Selection and Integration : Evaluate and select appropriate AI tools, platforms, and technologies to meet business goals. Oversee integration with existing systems, ensuring scalability and efficiency.
• Optimization and Innovation : Continuously monitor, optimize, and evolve AI solutions, keeping the organization at the forefront of AI advancements.

2. Centre of Excellence (CoE) Management :

3. Stakeholder Engagement :

4. Research and Development :

5. AI Governance and Compliance :

Qualifications : Education :

Experience :

Skills :

Certifications (Optional) :

Preferred Traits :