CGI is looking for MLOps Platform Engineer will be responsible for the setup, configuration, and maintenance of Hopsworks Feature Store to support scalable and efficient machine learning (ML) operations. This role requires expertise in platform engineering, cloud infrastructure, and data engineering to ensure seamless integration between ML models and feature pipelines.
The candidate will work closely with data scientists, MLOps engineers, and DevOps teams to optimize feature store performance, security, and availability.
This position is located in Pittsburgh PA, Cleveland OH, or Dallas TX, however hybrid model is accepted.
Deploy, configure, and maintain Hopsworks Feature Store on cloud/on-prem environments.
Design and implement scalable, secure, and high-availability infrastructure to support ML workloads.
Automate infrastructure provisioning, monitoring, and scaling using IaC (Terraform, CloudFormation, or similar).
Optimize data ingestion and feature retrieval pipelines for real-time and batch processing.
Ensure data security, governance, and compliance by implementing access control and encryption.
Monitor and troubleshoot feature store performance, resolving bottlenecks and failures.
Collaborate with MLOps, Data Engineering, and DevOps teams to integrate Hopsworks into CI/CD pipelines.
Implement observability and logging solutions for proactive monitoring and debugging
Bachelors degree in computer science, Software Engineering, or a related field.
7+ years of experience in platform engineering, DevOps, or infrastructure engineering.
Hands-on experience with Hopsworks Feature Store deployment and configuration.
Strong knowledge of cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes, Docker).
Expertise in Infrastructure-as-Code (Terraform, CloudFormation, or Ansible) for automated provisioning.
Experience with CI/CD pipelines (GitHub Actions, Jenkins, etc.) for ML model deployment.
Solid understanding of distributed computing, big data frameworks (Spark, Hadoop, Kafka, etc.).
Proficiency in Python, Scala, or Bash for scripting and automation.
Experience with feature engineering and ML model serving in production.
Knowledge of feature drift monitoring, data validation, and model observability tools.
Familiarity with ML frameworks (TensorFlow, PyTorch, or Scikit-learn).
Relevant cloud or MLOps certifications (AWS Certified Machine Learning, GCP ML Engineer, etc.).
Exposure to banking or fraud detection systems involving real-time ML processing.
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is 88,200 - $195,200.
Benefits
CGI's benefits are offered to eligible professionals on their first day of employment to include:
Competitive compensation
Comprehensive insurance options
Matching contributions through the 401(k) plan and the share purchase plan
Paid time off for vacation, holidays, and sick time
Paid parental leave
Learning opportunities and tuition assistance
Wellness and Well-being programs
#LI-USCSG
- Apache Spark
- Azure Data Lake
- Data Warehousing
- ETL
- Jenkins
- Kubernetes
- OpenShift
- Python
- SQL
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Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll reach your full potential because
You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.
Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our teamone of the largest IT and business consulting services firms in the world.
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.
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All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.
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