At Sogeti, we believe the best is inside every one of us. Whether you are early in your career or at the top of your game, we’ll encourage you to fulfill your potential to be better. Through our shared passion for technology, our entrepreneurial culture, and our focus on continuous learning, we’ll provide everything you need to become the best you can be.

YOUR ROLE

Developing and deploying machine learning models and data-driven solutions.
Designing and implementing data pipelines, ETL processes, and feature engineering workflows.
Utilizing Python, SQL, visual tools to preprocess, analyze, and visualize data.
Leverage Generative AI and LLMs to build intelligent, context-aware solutions.
Explore Agentic AI frameworks to design autonomous agents capable of decision-making and task execution across complex workflows.
Automating and optimizing model deployment using Dataiku’s built-in features (APIs, automation scenarios, etc.).
Working with cloud environments such as AWS, Azure, or GCP to scale data processing and model deployment.

YOUR PROFILE

Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field + 5 years of experience in a engineering field.
Strong understanding of statistics, predictive modeling, and machine learning algorithms.
Experience with ETL, feature engineering, and model deployment in production environments.
Knowledge of Generative AI, LLMs (e.g., GPT, BERT), and Agentic AI architectures is a strong asset.
Experience with cloud computing (AWS, Azure, or GCP) and big data technologies (Spark, Hadoop) is a plus.
Excellent problem-solving skills, teamwork, and communication abilities.

WHAT YOU'LL LOVE ABOUT WORKING HERE ?

At Sogeti, we have a modern, human centric approach to promoting, assessing and ensuring future high performance. We support and guide you at every step of your career with continuous feedback and conversations. We’ll always make space to check in and discuss your growth and readiness for promotion.

We encourage flexibility when it comes to when and where people get their work done, allowing a better work-life balance and greater empowerment. Employees work with their managers to determine an arrangement that works best for their role and personal circumstances.

We offer access to one of the best digital learning packages in the market to improve both your soft and hard skills. Encouraging you to be curious and accountable for your skills development. Our learning offers are world class and free to every employee across the globe. Access all learning assets and curated programs from business experts, plus content from leading partners including Harvard Business Review, Coursera, Pluralsight, Udemy, Microsoft, AWS, Google and many more.

Job Description - Grade Specific

The role brings deep technical knowledge and expertise in Data and AI Engineering projects to solve scientific and engineering challenges of the client. The deep expertise and analytical abilities are essential in addressing complex challenges and pushing the boundaries of technological advancements within the domain. Also, assist in testing, deploying and monitoring the solutions in production environments

Skills (competencies)

Verbal Communication