AI Engineer

Introduction

A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe. In this role, you will work for IBM BPO, part of Consulting that, accelerates digital transformation using agile methodologies, process mining, and AI-powered workflows.  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 IBM 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 supported by mentors and coaches who will encourage you to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and learning opportunities in an environment that embraces your unique skills and experience.   

Your Role And Responsibilities

We are seeking for a passionate and skilled

Python AI Engineer

to design, develop and maintain hybrid AI Platform across multi-cloud and on-premises. Build an AI platform that enables real time machine learning and GenAI at scale along with governance and security frameworks. You will collaborate with data engineer, product managers, and software engineers to bring AI-driven products and features to life.

• Work with frameworks like TensorFlow/PyTorch, Scikit-learn, or similar.
• Design and implement AI/ML models and algorithms using Python3.
• Develop and maintain scalable, production-grade machine learning pipelines.
• Conduct data exploration, preprocessing, feature engineering, and model evaluation.
• Optimize models for performance and scalability in production environments.
• Collaborate with cross-functional teams to integrate AI components into real-world applications.
• Stay up to date with the latest research and industry trends in AI and machine learning.
• Document experiments, code, and processes for reproducibility and transparency.
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Strong programming skills in Python 3.
• Solid understanding of machine learning fundamentals (classification, regression, clustering, etc.).
• Experience with ML libraries and frameworks (e.g., Scikit-learn, TensorFlow/PyTorch, XGBoost, etc.).
• Experience in NLP related to Semantic models/Search using BERT/ transformer model.
• Experience with Gen AI ecosystem/tools is a plus.
• Experience in data wrangling using Pandas/Polaris, NumPy, SQL, etc.
• Good grasp of software engineering principles (version control, testing, modular code).
  

Preferred Technical And Professional Experience

• Familiarity with REST APIs and deployment practices (Dockerized Container, Flask/FastAPI, etc.).
• Understanding of cloud platforms (AWS, GCP, Azure) is a plus.
• Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively.
• Communication: Strong interpersonal and communication skills, with the ability to work effectively in a collaborative team environment