Azure MLOPS Engineer

Role: Azure MLOPS Engineer

Location: Bellevue, WA

FTE – Direct hiring with benefits

Must have:

• Strong expertise in Azure Machine Learning Service (AMLS), Kubernetes (AKS), and MLOps practices.

• Hands-on experience in automating ML pipelines, including CI/CD integration and model lifecycle management.

• Proficiency in programming languages like Python and familiarity with Spark and PySpark for data processing.

• Solid understanding of Azure Synapse, Azure Data Factory, and resource optimization techniques.

• Experience in monitoring and troubleshooting production ML environments with zero downtime.

• Strong problem-solving skills, compliance knowledge (Safe Secret), and the ability to work across cross-functional teams.

• Familiarity with GPT model integration and AI research initiatives.

• Knowledge of containerization and microservices architecture for scalable ML solutions.

• Experience in cost-saving strategies and optimizing cloud infrastructure.

• Understanding of cloud-native deployment using DevOps tools such as Azure DevOps, Git, and CI/CD pipelines.

• Strong knowledge of PowerShell for scripting and automation.

• Experience with DevOps practices, including tools like Azure DevOps, Git, and CI/CD pipelines.

Good to Have:

• Hands-on expertise with MLflow for managing ML lifecycles, including tracking, packaging, and model deployment.
• Proficiency in deploying ML models using Azure Machine Learning Service (AMLS) integrated with Kubernetes (AKS) for scalable production environments.
• Implementation of automated pipelines for model monitoring, drift detection, and periodic retraining

Life at Sogeti - We support all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) (matched 150% up to 6%) and Employee Share Ownership Plan
• 100% Company-paid mobile phone plan
• 3 weeks Personal Time Off (PTO) and 7 Paid Holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Continuing Education: $12,000 Annual Tuition Reimbursement plus access to over 20,000 online courses and certifications through Capgemini University, as well as Coursera and Degreed.
• Programs for Counseling, Support, Health and Fitness perks, Auto discounts and much, much more!
• Employee Resource Groups
• Disaster Relief

Disclaimer - Capgemini 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.

Please be aware that Capgemini 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.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $ 125000 - 135000 per annum. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.