IBM is a technology and consulting company focused on helping organizations apply cloud, AI, and advanced technology to solve complex business challenges. The role supports the AI and Data Science development team by contributing to AI solution development, data collection and analysis, visualization, and predictive modeling for enterprise applications.
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 visualize data to support business decisions that support real-world applications across enterprise systems. This role is ideal for someone with a strong foundation in machine learning and software engineering who is eager to grow in a collaborative, innovation-driven environment. You will work with Senior Developers to build models helping to create predictive models, generate insights and help optimize company performance
Qualification
Required
Bachelor's Degree
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
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 optimization
Familiarity with Linux environments and container orchestration (e.g., Kubernetes, OpenShift)
Awareness of ethical AI principles, including fairness, transparency, and bias mitigation
Benefit
Work arrangement: Hybrid
Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs
Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs
Paid family leave benefits to eligible employees where required by applicable law
Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences
IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions.
