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Machine Learning Developer Intern (September – 4 months) - IBMConsulting

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IBM

2mo ago

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
  • Toronto, +1

Requirements

  • 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 4 months starting in September 2024 full-time
  • Preferred Technical and Professional Expertise:
  • 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.).

Responsibilities

  • 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

IBM

Technology
Industry
10,001+
Employees
1911
Founded Year

Mission & Purpose

At IBM, we do more than work. We create. We create as technologists, developers, and engineers. We create with our partners. We create with our competitors. If you're searching for ways to make the world work better through technology and infrastructure, software and consulting, then we want to work with you. We're here to help every creator turn their "what if" into what is. Let's create something that will change everything