Design scalable data pipelines, ensure data quality and governance, and enable end-to-end machine learning model deployment in production environments. Collaborate with data science teams to operationalize ML models using MLOps best practices. Build and manage CI/CD pipelines for ML workflows, ensuring reproducibility and scalability.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Overview
We are looking for an experienced professional with strong expertise in Data Engineering and MLOps/ML Engineering. This role involves designing scalable data pipelines, ensuring data quality and governance, and enabling end-to-end machine learning model deployment in production environments. You will collaborate with data scientists, architects, and business stakeholders to deliver data-driven solutions that power advanced analytics and AI initiatives.
Your role
- 4+ years of proven experience in Data Engineering.
- Strong expertise in ETL/ELT processes, data modeling, and performance tuning.
- Hands-on experience with MLOps tools such as MLflow, Kubeflow, or Azure ML.
- Proficiency in Python and SQL for data processing and automation.
- Experience with cloud platforms, preferably Microsoft Azure (Data Factory, Databricks, Synapse, etc.).
- Knowledge of CI/CD pipelines and version control systems (Git, GitHub Actions, Azure DevOps).
- Familiarity with containerization (Docker, Kubernetes) is a plus.
About you
- Collaborate with data science teams to operationalize ML models using MLOps best practices.
- Build and manage CI/CD pipelines for ML workflows, ensuring reproducibility and scalability.
- Monitor and maintain model performance, implement retraining strategies, and ensure compliance with security and governance standards.
- Familiarity with model monitoring and observability tools.
- Exposure to AI/ML lifecycle management in enterprise environments.
- Certifications in Data Engineering or MLOps are a plus.
Reward & benefits
Explore the rewards and benefits that help you thrive – at every stage of your life and your career.
This includes:
- Comprehensive life insurance coverage.
- Premium medical insurance for you and your dependents.
- Generous annual leave balance.
- Flexible and hybrid work solutions.
- Remote work opportunities outside of country.
- Company gratuity scheme.
- Discretionary bonus program.
- Relocation assistance.
- Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.
Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.
About AtkinsRéalis
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.
Find out more.