AI Ops / ML Ops Lead

Ready for a Challenge?

Are you looking to boost your career and develop new skills in AI Ops / ML Ops? Do you have expertise in the field of Data and AI?

Join Our Team:

At NRB, a leading IT company in Belgium, we're seeking talented individuals like you to join our Data & AI Competence Centre. Our mission is to transform data into a strategic decision-making asset for our clients.

Make an Impact:

We don't just process data - we exploit it to solve real-world challenges and amplify our clients’ impact. Each project is an intellectual challenge, inviting you to explore innovative technologies and push the boundaries of Data and AI.

Be a Pioneer:

In our team, you're not just an AI Ops / ML Ops Lead - you're a pioneer. You design, test and deploy solutions that meet the most demanding market requirements. Collaborate with 80 enthusiastic colleagues who are shaping the future of Data Management and AI optimization.

Let's create innovative solutions together!

Your mission:

We are seeking an experienced AI Ops / ML Ops Lead to partner with business leadership and drive technology innovation, focusing on data strategy, cloud architecture, and AI/ML model development. This role will require expertise in prompt engineering, performance evaluation, model optimization, monitoring, and business integration.

Key Responsibilities:

We are seeking an experienced AI Ops / ML Ops Lead to partner with business leadership and drive technology innovation, focusing on data strategy, cloud architecture, and AI/ML model development. This role will require expertise in prompt engineering, performance evaluation, model optimization, monitoring, and business integration.

• Research, recommend, design, and develop data strategy and cloud architecture.

• Shape enterprise data architecture design patterns, design principles, and best practices enhancing business solution delivery.

• Consult with various teams to determine and refine AI/ML objectives enabled by MLOps.

• Participate in development of enterprise strategy for AI/ML model development, training, deployment, operations and security.

Gen AI-Specific Responsibilities:

• Prompt Engineering, Design, and Optimization: Design well-optimized prompts to ensure models provide high-quality outputs and build user trust. Apply best practices for prompt engineering, techniques such as ReAct, RAG, and chain of thought.

• Performance and System Evaluation: Help customers design and deploy an evaluation framework tailored to their applications and build mechanisms for automated evaluation metrics using tools like AutoSxS and GenAI Eval.

• Model Optimization and Continuous Tuning: Provide solutions and managed services for optimizing and tuning models based on human feedback and benchmarking. Improve system architecture and model selection, reduce latency and costs, and incorporate the latest APIs and tools to orchestrate and build AI agents.

• Monitoring and Observability: Help customers build observability solutions to constantly monitor operations and performance of their gen AI applications.

• Business Integration and Testing: Assist customers in planning and setting up a scalable and secure environment on AWS Cloud, designing APIs for efficient model interactions, and implementing rigorous unit, integration and load testing.

Leadership Responsibilities:

• Lead technology proof of concepts and benchmarks to ensure feasibility of architecture solutions.

• Tailor communication to convey complex ideas concisely to diverse audiences and venues.

• Mentor architects, engineers, and inspire and lead senior technical individual contributors.

• Drive culture of standardization in data transformation.