Machine Learning Engineer

Machine Learning Engineer

Position Description

This is a hybrid onsite role that can be completed from: Strongsville, OH (Cleveland) or Pittsburgh PA.

We're growing rapidly and are looking for a Machine Learning Engineer to join our team and help us develop and deploy enterprise-grade platforms that enable data-driven solutions. This role is more than automating and maintaining scalable infrastructure, though.

At CGI, you'll make an impact for some of the largest organizations and brands in the world while enjoying unparalleled career growth in the process.

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.

Your future duties and responsibilities:

1. Design various enterprise information and data and analytics strategies, including defining visions, conducting assessments of people, processes, and technology; and developing dynamic business value roadmaps.
2. Design and implement modern industry best practices in governance, management, and quality of information/data.
3. Design and implementation of data quality scorecards and metrics.
4. Evaluation, selection and implementation of tools and technology for data catalogs, data governance, data quality and data management.
5. Collaborate with business and technical teams to provide direction for and contribute to development, implementation and rollout of solutions and consulting services.
6. Facilitate design and solution workshops with clients.

Required qualifications to be successful in this role:

1. 3-6 years of experience in Model building, Machine Learning Ops, API's, Python, Jenkins, OCP.
2. Machine Learning & Data Engineering pipelines.
3. Python with Django and Flask, Spark, Big-Data stack - Hive.
4. ML Frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
5. Statistical Analysis and Fine-Tuning/Hyper-Tuning the models (like Spark-Trails, Optuna).
6. Model Lifecycle management in ML Flow and Graph QL.
7. Feature Engineering.

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.