IBM
Entry Level Hire Remote Technical Support - AI and Data Science Engineer and Sup
IBM, San Diego, California, United States, 92189
Entry Level Hire Remote Technical Support – AI and Data Science Engineer and Support 2026
Join to apply for the
Entry Level Hire Remote Technical Support – AI and Data Science Engineer and Support 2026
role at
IBM
Introduction IBM Infrastructure is a catalyst that makes the world work better because our clients demand it. Heterogeneous environments, the explosion of data, digital automation, and cybersecurity threats require hybrid cloud infrastructure that only IBM can provide.
Our culture values creativity, forward‑thinking, and innovation. Collaboration is key to IBM Infrastructure success, as we bring together different business units and teams that balance their priorities to best serve our client's needs.
IBM’s product and technology landscape includes Research, Software, and Infrastructure. Joining this domain places you at the heart of IBM, where growth and innovation thrive.
Your Role and Responsibilities We are seeking a motivated and technically skilled early‑career professional to join our AI and Data Science development team. As a Junior Developer you will contribute to the design, development, and implementation of AI solutions and look for ways to efficiently collect, clean, analyze, and visualise data to support business decisions. You will work with Senior Developers to build models that generate insights and help optimise company performance.
Preferred Education Bachelor’s Degree
Required Technical and Professional Expertise
Proficiency in Python and experience with libraries such as NumPy, pandas, scikit‑learn.
Solid understanding of machine learning algorithms and model evaluation techniques.
Experience with Git and collaborative development workflows.
Ability to work with structured and unstructured data, including preprocessing and transformation.
Familiarity with software engineering principles and debugging practices.
Strong analytical and problem‑solving skills.
Preferred Technical and Professional Experience
Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
Exposure to model deployment using Docker, REST APIs, or cloud platforms (AWS, Azure, GCP).
Understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines).
Knowledge of distributed systems, storage architectures (e.g., IBM Storage Scale), and performance optimisation.
Familiarity with Linux environments and container orchestration (e.g., Kubernetes, OpenShift).
Awareness of ethical AI principles, including fairness, transparency, and bias mitigation.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Other
Industries IT Services and IT Consulting
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Entry Level Hire Remote Technical Support – AI and Data Science Engineer and Support 2026
role at
IBM
Introduction IBM Infrastructure is a catalyst that makes the world work better because our clients demand it. Heterogeneous environments, the explosion of data, digital automation, and cybersecurity threats require hybrid cloud infrastructure that only IBM can provide.
Our culture values creativity, forward‑thinking, and innovation. Collaboration is key to IBM Infrastructure success, as we bring together different business units and teams that balance their priorities to best serve our client's needs.
IBM’s product and technology landscape includes Research, Software, and Infrastructure. Joining this domain places you at the heart of IBM, where growth and innovation thrive.
Your Role and Responsibilities We are seeking a motivated and technically skilled early‑career professional to join our AI and Data Science development team. As a Junior Developer you will contribute to the design, development, and implementation of AI solutions and look for ways to efficiently collect, clean, analyze, and visualise data to support business decisions. You will work with Senior Developers to build models that generate insights and help optimise company performance.
Preferred Education Bachelor’s Degree
Required Technical and Professional Expertise
Proficiency in Python and experience with libraries such as NumPy, pandas, scikit‑learn.
Solid understanding of machine learning algorithms and model evaluation techniques.
Experience with Git and collaborative development workflows.
Ability to work with structured and unstructured data, including preprocessing and transformation.
Familiarity with software engineering principles and debugging practices.
Strong analytical and problem‑solving skills.
Preferred Technical and Professional Experience
Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
Exposure to model deployment using Docker, REST APIs, or cloud platforms (AWS, Azure, GCP).
Understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines).
Knowledge of distributed systems, storage architectures (e.g., IBM Storage Scale), and performance optimisation.
Familiarity with Linux environments and container orchestration (e.g., Kubernetes, OpenShift).
Awareness of ethical AI principles, including fairness, transparency, and bias mitigation.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Other
Industries IT Services and IT Consulting
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