A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
Your Role and Responsibilities :
This position is open to applicants who reside in Toronto and is open to applicants seeking a 4 month internship work term, commencing in May 2025. It is mandatory that all applicants are enrolled in full-time studies at a post-secondary institution and returning to full-time studies upon completion of their work term.
Our team is looking for candidates with exceptional technical aptitude, a passion for applied data science, and an interest in solving business challenges with machine learning.
The successful candidate will join a fast-paced consulting team, composed of Partners, Product Managers, Data Scientists, Architects and Software Engineers to conceptualize, develop and deploy machine learning solutions to solve enterprise-scale problems. As a team, we pride ourselves on tackling some of the most difficult challenges our clients face by bringing together subject matter expertise, data science, and technical execution.
As an intern Machine Learning Developer, you’ll have the unique opportunity to learn and use industry-leading ML technologies on a cloud platform (e.g. IBM Cloud, Azure, AWS or Edge) by working on a project that generates value for external client engagements or internal initiatives. Depending on the projects and team’s technical requirements, you will have the opportunity to work with technologies such as:
Kubeflow, MLflow, Prometheus, Grafana,
Seldon Core, Spark, Kafka
Pytorch, Tensorflow CUDA
Computer Vision, Gen AI, LLM
the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Suggested Expertise Values can be found in "IBM Expertise Taxonomy"
Required Professional and Technical Expertise :
Demonstrated familiarity or interest in machine learning, neural networks, statistical analysis through previous internships, personal/ academic projects, hackathons, and/or publications. Experience with object-oriented programming in Python. Able to confidently communicate ideas to an audience of peers/managers, comfortable and effective in working independently.
Must be eligible to work full-time for 4 months starting in May 2025.
One or more work terms in a machine learning, computer vision or software engineering related role. Experience using machine-learning or data engineering libraries/frameworks in python (scikit-learn, Pytorch, TensorFlow, pyspark).
Hands on R&D to develop software demos and prototypes. Support delivery project teams in areas such as AI, ML, Automation, LLM or Robotics on major cloud providers. Good familiarity with cloud application development and the tools required for building cloud-native data applications (Kubernetes, Docker, storage, etc.).