We are seeking a motivated and technically skilled professional to join our AI and Data Science development team. As a Developer, you will contribute to the design, development, and implementation of AI solutions and look for ways to effienciently 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 in a global organization to build models helping to create predictive models, generate insights and help optimize company performance.
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
Proficiency in Python and experience with libraries such as NumPy, pandas, scikit-learn
Proficiency in React and JS
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.
Experience with software engineering principles and debugging practices.
Experience in model deployment using Docker, REST APIs, or IBM cloud
Experience of MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines).
Familiarity with Linux environments and container orchestration (e.g., Kubernetes, OpenShift).
Strong analytical and problem-solving skills.
Preferred technical and professional experience
Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
• Knowledge of distributed systems, storage architectures (e.g., IBM Storage Scale), and performance optimization.
• Awareness of ethical AI principles, including fairness, transparency, and bias mitigation.