Highlights
Developing intelligent AI workflows, designing ML models, creating robust pipelines, collaborating across teams, and transforming research into production.
Description
Job Summary
pWe are seeking a highly skilled AI/ML Engineer with advanced Python expertise to design and build intelligent AI solutions. The role focuses on developing autonomous AI agents, Machine Learning and Deep Learning models, and transforming Jupyter Notebook-based research into scalable, production-ready AI workflows.
Responsibilities
- Develop intelligent AI workflows using Python and Jupyter Notebooks
- Design and train Machine Learning and Deep Learning models
- Build LLM-powered systems using RAG, tool-based reasoning, and memory mechanisms
- Perform advanced data analysis and create meaningful visualizations
- Convert notebook-based prototypes into robust, scalable AI pipelines
- Collaborate with cross-functional teams to integrate AI solutions
Required Skills
- Advanced Python (Automation, Data Processing, APIs)
- Machine Learning & Deep Learning (PyTorch / TensorFlow)
- Autonomous and Agent-based AI concepts
- Jupyter Notebooks (Experimentation and AI workflow development)
- Data analysis & visualization (Pandas, NumPy, Plotly/Matplotlib)
Required Skills Explained
- Advanced Python: Necessary for automating tasks, data processing, and working with APIs.
- Machine Learning & Deep Learning: Proficiency in PyTorch or TensorFlow to design and train models.
- Autonomous and Agent-based AI: Understanding of how to build intelligent agents.
- Jupyter Notebooks: Experience for experimentation and developing AI workflows.
- Data Analysis & Visualization: Skills in Pandas, NumPy, Plotly/Matplotlib for meaningful insights.
Who is this for
pWe are looking for individuals who have a passion for building intelligent AI solutions. Ideal candidates should possess advanced Python skills, experience with Machine Learning and Deep Learning frameworks, and a strong understanding of autonomous AI concepts. A growth mindset and the ability to collaborate effectively in cross-functional teams is essential.
Why This Job is a Good Opportunity
ulliWork on cutting-edge technology that drives digital security for Fortune 500 clients.liJoin a dedicated team focused on cybersecurity and contributing to global security efforts.liPotential for professional growth through various technical, consulting, or go-to-market roles.liAccess to skilling and certification programs tailored for Security & Resiliency.liA supportive work environment that prioritizes employee well-being.
Interview Preparation Tips
- Review your knowledge of Python, specifically advanced functionalities and libraries used in data processing and automation.
- Familiarize yourself with Machine Learning frameworks like PyTorch or TensorFlow, focusing on training models and building pipelines.
- Prepare examples of how you have implemented autonomous AI agents or built LLM-powered systems using RAG, tool-based reasoning, and memory mechanisms.
- Create visualizations to demonstrate your data analysis skills and ability to communicate insights effectively.
- Practice explaining the conversion process from Jupyter Notebook prototypes to scalable production-ready AI pipelines.
Career Growth in This Role
pThis role provides ample opportunities for growth as it not only focuses on technical expertise but also involves collaboration with cross-functional teams. By joining Kyndryl, you can transition into a variety of technical leadership roles or explore different career paths within cybersecurity, consulting, and go-to-market strategies.pKyndryl's commitment to continuous learning and development ensures that you will have access to advanced certifications and training programs. This role serves as a foundation for building a robust career in AI/ML engineering while contributing significantly to the security infrastructure of global enterprises.
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Skills
Frequently Asked Questions
What is the application process like?The application process involves submitting your resume and cover letter online. Once selected, you will participate in a series of interviews to assess your skills.
Is remote work available?Yes, we offer hybrid options with both remote and on-site working opportunities based on role requirements and personal preference.
What kind of support is provided for career development?Kyndryl provides personalized development plans, access to industry certifications, coaching, and ongoing feedback to help you grow in your career.
