Job Specifications
Introduction
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
Your Role And Responsibilities
At IBM, we know technology. But technology is only as good as the results it delivers. Are you interested and adept in application development methodology and tools? The IBM Client Innovation Centre CIC occupies a unique position in the IT marketplace – at the intersection of business and technology. In this role, you'll work in our IBM Client Innovation Center (CIC), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
As a member of our team, you will help IBM clients solve some of their most challenging business problems, capitalize on market opportunities and achieve real value in today’s tough economy.
We are looking for passionate, original thinkers who want to drive progress, grow their network, and further their careers. If you see yourself as someone who never stops learning, who believes no problem is too big to solve, and who wants to unleash their potential, an Associate role is for you.
As An Associate AI Developer, You Will
Support the development of AI and machine learning models using tools like TensorFlow, PyTorch, and Scikit-learn
Work with data scientists and engineers to improve and optimize AI solutions
Assist in data preparation, feature engineering, model training, and evaluation
Participate in research and experimentation with new AI techniques
Help deploy and maintain AI models in production environments
Create technical documentation and contribute to knowledge sharing
Follow best practices in coding, data management, and responsible AI
Collaborate with cross-functional teams including developers, data engineers, and product managers
Stay updated on emerging AI trends and technologies
Preferred Education
Master's Degree
Required Technical And Professional Expertise
Core Competencies
Understanding of deep learning basics and common neural network architectures
Familiarity with AI domains such as NLP, computer vision, or conversational AI
Knowledge of data preparation techniques: preprocessing, feature engineering, model evaluation
Experience with large language models (LLMs) and prompt engineering.
Hands-on Experience with vector databases and retrieval-augmented generation (RAG).
Understanding of responsible AI principles including ethics, privacy, and fairness
Technical Skills
Proficiency in at least one programming language: Python (preferred), Java, or C++
Strong foundation in core ML concepts and mathematics: statistics, linear algebra, basic calculus
Hands-on exposure to ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Experience with development tools and practices: Git, Jupyter Notebook, VS Code
Basic awareness of cloud and deployment practices: AWS/Azure/GCP, CI/CD, MLOps fundamentals
Soft Skills
Strong analytical and problem-solving skills.
Excellent communication and interpersonal skills, enabling effective collaboration with diverse stakeholders, including technical and non-technical team members.
Ability to learn quickly in a fast-paced, team-based consulting environment.
Curiosity, adaptability, and a strong desire to build technical and functional expertise.
Critical thinking, resourcefulness, growth mindset
Eagerness to learn and adapt in a fast-changing AI environment
About the Company
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.
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