Machine Learning Engineer

Position Description

Make an impact like never before! We re growing rapidly and are looking for a Machine Learning Engineer. Your activities for the load forecast project significantly contribute to our client's data science, data engineering, optimization engineering, orchestration engineering and ML Ops efforts. This experienced engineer will grow and optimize this critical technical foundation for load forecast project, and will work across our client's global power business, suite of portfolio companies, and enterprise Centers of Excellence to deliver outsized value. We re a close-knit team that has access to global resources. You ll have the opportunity to explore a wide range of industries, technologies, and geographies, all while enjoying the personal touch that our local operating approach offers.

Growth at CGI is driven by your goals, so if you re looking for an inclusive place where you re empowered to chart your own path, then we d love to meet you.

This position is located in Houston, Texas with work performed at client site in Houston, Texas up to 2 days/week; however, a hybrid working model is acceptable.

Your future duties and responsibilities

How you'll make an impact:

1. Deploy models in to production, using existing and emerging methods and technologies that could be effectively applied.
2. Architect/lead/build core infrastructure around feature engineering, model training, model deployment, ongoing monitoring tools, and much more.
3. Serve as the senior ML engineering expert for a global platform and global commercial operations that rely on best-in-class ML techniques, software engineering and MLOps.
4. Design, build and automate our AI/ML workstream from data analysis, experimentation, operationalization, model training, model tuning to visualization.
5. Collaborate with Infrastructure, data engineering and DevOp teams to increase our deployment velocity, including the process for deploying models and data pipelines into production.
6. Working closely with Product Management to translate product requirements into robust, customer-agnostic machine learning architectures.
7. Build and lead the ML infra, ML Ops and ML Orchestration team.
8. Assemble and lead a team of machine learning Engineer to develop cutting-edge machine learning pipelines.
9. Build enterprise ML strategy to simplify the ML model deployment, data pipeline, model management and ML orchestration.
10. Build and implement strategy to reduce the infra cost.
11. Expert in ML Infra and execute more than 35k model training and inference with minimum infrastructure cost.

What you'll bring:

1. 10+ years of years of experience in designing, developing, deploying and monitoring machine learning and deep learning solutions.
2. 5+ years of experience in MLOps: managing production machine learning lifecycle.
3. Key Skills: Sagemakes, MLOps and DevOps Pipelines development.
4. 2+ years of experience in AWS SageMaker.
5. Strong experience in batch processing, real time inference and multi model container.
6. Experience implementing, Improving and maintaining automated CI/CD pipeline.
7. Experience working with data scientists and/or ML engineers and building auto-scaling ML systems.
8. Experience in Kubernetes architecture, future store, model management, ML orchestration and IoT.
9. Experience in Sagemaker and AzureML.
10. Experience in S3, ADLS, Dremio, delta lake, data bricks and time series data base.
11. Proven leadership experience.
12. Development competency across a breadth of languages, frameworks and tooling, such as Python, R, Kubernetes, JavaScript/JVM, Scala, Reactive Streams, Kafka, etc.
13. Development competency in data engineering and storage, including across breadth of tools such as S3, RDS, EFS, No-SQL, graph db, Spark, etc.

Nice to have skills:

1. Strong desire to stay ahead of industry trends & technologies with a commitment to continuous learning.
2. Experience with Machine Learning Concepts - Training, Validation, Testing, Precision/Recall, Bias/Variance etc.
3. Experience in extracting, cleansing, and manipulating large, diverse structured and unstructured data sets.
4. Knowledge and experience in applying ML algorithms and technologies to time series forecasting.
5. Experience in energy management domain is a plus, with comfort in energy asset optimization, asset control and data flow loops, and wholesale electricity market applications.
6. Experience managing people / leading a team.

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 and 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 is $60,300- $146,800.

At CGI we call our professionals “members” to reinforce that all who join our team are, as owners, empowered to participate in the challenges and rewards that come from building a world-class company. CGI s benefits include:

1. Competitive base salaries.
2. Eligibility to participate in an attractive Share Purchase Plan (SPP) in which the company matches dollar-for-dollar contributions made by eligible employees, up to a maximum, for their job category.
3. 401(k) Plan and Profit Participation for eligible members.
4. Generous holidays, vacation, and sick leave plans.
5. Comprehensive insurance plans that include, among other benefits, medical, dental, vision, life, disability, out-of-county emergency coverage in all countries of employment.
6. Back-up child care, Pet insurance, a Member Assistance Program, a 529 college savings program, a personal financial management tool, lifestyle management programs and more.

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, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics.

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 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.

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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. 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.