Senior Machine Learning Ops (MLOps) Engineer

Job description

Position Description:

We are seeking a skilled MLOps Engineer to design, build, and optimize machine learning pipelines and infrastructure. The ideal candidate will have strong expertise in MLOps practices, Spark, SQL, and Python, with hands-on experience deploying ML models on Cloud (Preferably on AWS) and On-prem (Hadoop, OCP etc). Knowledge of Generative AI (GenAI) and Large Language Models (LLMs) is a plus. 
 

Your future duties and responsibilities:

.    Build MLOps pipelines orchestration on Amazon SageMaker and/ or on-prem leveraging DevOPs tools and OCP platforms 
.    Write clean, efficient, and modular code in Python for MLOps, feature engineering, and automations.
.    Optimize data pipelines using Apache Spark and SQL for large-scale data processing.
.    Optimize data pipelines using Apache Spark and SQL for large-scale data processing.
.    Collaborate with data scientists to productionize ML models and ensure smooth integration with business applications.
.    Monitor model performance, retraining schedules, and implement model drift detection.
.    Optimize compute usage, model packaging (Docker), and endpoint autoscaling.
.    Ensure pipeline reliability, quality, schema enforcement, and data validation.
.    Enable QE teams to test ML systems (data testing, API testing, pipeline testing).
 

Required qualifications to be successful in this role:

.    Strong proficiency in Python for ML and automation.
.    Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, or similar).
.    Expertise in SQL and Apache Spark for data engineering and analytics.
.    Proven experience in AWS SageMaker for ML model lifecycle management.
.    Familiarity with Docker/Kubernetes for containerization and orchestration.
.    Solid understanding of CI/CD pipelines and DevOps practices applied to ML workflows. 
GenAI / LLM (Good to Have)
.    Knowledge of LLMs (GPT, Llama, Falcon, Claude) and prompt engineering.
.    Experience with vector databases (Pinecone, FAISS, Weaviate) is a plus.
.    Understanding of deploying LLMs on AWS (SageMaker JumpStart, Bedrock).
 
Other Information:   
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 $57,100.00 - $154,300.00.
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

Skills:

·  Kubernetes
·  Python
·  Spark SQL

What you can expect from us:

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll 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. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll 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.

You’ll shape your career by joining a company built to grow and last. You’ll 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 team—one 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.

CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com . You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.

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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.

CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI’s legal duty to furnish information.