Sogeti is a leading provider of professional technology services, specializing in Application Management, Infrastructure Management and High-Tech Engineering. Sogeti offers cutting-edge solutions around Testing, Business Intelligence, Mobility, Cloud and Security, combining world class methodologies and the global delivery model, Rightshore . Sogeti brings together more than 20,000 professionals in 15 countries and is present in over 100 locations in Europe, the US and India. Sogeti is a wholly-owned subsidiary of Cap Gemini S.A., listed on the Paris Stock Exchange.
At Sogeti USA, we are committed to building a long and enduring relationship with our employees and to creating an environment that rewards and empowers. Our mission is to constantly exceed our employees' expectations in the same way that we strive to exceed our clients' expectations. We offer an environment that celebrates innovation and helps you to achieve a good balance between your professional and personal life. We strive to be an employer of choice.
What You-ll Do - We are seeking a skilled and motivated MLOpsEngineer to join our Data & AI team, with a focus on building andscaling machine learning operations on Azure Databricks . You will beresponsible for operationalizing ML models, optimizing pipelines, andestablishing CI/CD workflows across the Azure ecosystem to accelerate AIdeployment and innovation.
Minimum education qualification - Bachelor's Degree in Computer Science, Computer Engineering, MIS or related field.
Key Responsibilities - Design, build, andmaintain robust MLOps pipelines on Azure Databricks for scalable modeltraining, deployment, and monitoring.
- Implement CI/CDworkflows using tools such as Azure DevOps, MLflow, and GitHub Actions.
- Operationalize machinelearning models (batch and real-time) leveraging Delta Lake and ModelServing.
- Automate data and modelversioning, testing, and lineage tracking across environments.
- Collaborate with DataScientists, Data Engineers, and DevOps teams to integrate ML workflowsinto the broader data ecosystem.
- Establish and maintainmonitoring solutions for model performance and data drift.
- Ensure compliance withgovernance, security, and data privacy standards in model lifecyclemanagement.
Required Skills & Experience - 3+ years of experiencein MLOps, ML engineering, or related fields.
- Strong knowledge of Azureecosystem (Azure ML, Azure DevOps, Key Vault, Storage, Functions).
- Experience building MLpipelines using Python, PySpark, and Databricks notebooks.
- Familiarity with CI/CDtools and Git-based workflows.
- Strong debugging,automation, and performance optimization skills.
The benefits our employees enjoy: - 401(k) Savings Plan- Matched 150% up to 6%. (Our 401k is in the top 1% of 401(k) plans offered in the US.)
- Medical/Prescription/Dental/Vision Coverage.
- Low-premium and deductible. Plan with free preventive care.
- $12,000 in Tuition Reimbursement
- 100% Company-paid mobile phone plan
- Personal Time Off (PTO)- Ensuring a balance of work and home life
Please be aware that Capgemini Sogeti may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process
Sogeti is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.