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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Python and AI/ML frameworks, with a strong understanding of the software delivery lifecycle and cloud AI platforms. Capable of translating business challenges into technical solutions while ensuring system performance and scalability.
Highest-signal resume keywords
Python ProgrammingAI/ML FrameworksCloud AI PlatformsSoftware Delivery LifecycleData Engineering Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonC#Node.jsTypeScriptTensorFlowPyTorchGitGitHubPandasSpark
Soft Skills
CommunicationCollaborationProblem-Solving
Tools & Technologies
AWSAzureGoogle AIHugging Face
Industry Keywords
AI SolutionsMulti-Agent SystemsOrchestration FrameworksRAG ArchitecturesSystem-Level Optimisation
Tech Stack
Tools & technologiesAWSAzureCloudJavaScriptNode.jsPandasPythonPyTorchSparkTensorflowTypeScript
About the role
Key responsibilities & impact- Partner with customers to understand business challenges and translate them into fit-for-purpose technical solutions
- Build and iterate custom AI solutions using agentic AI frameworks
- Own delivery end to end, from scoping through production
- Engineer and deploy production-ready AI solutions in customer environments
- Troubleshoot and enhance system performance, scalability, and reliability
- Capture deployment learnings and document best practices
- Share insights to improve Kyndryl’s core platforms and frameworks
- Engage in ongoing professional development
- Contribute feedback and code to the evolution of Kyndryl’s AI platforms
- Collaborate with product teams and customer teams
Requirements
What you’ll need- Demonstrable expertise in Python or another modern language such as C#, Node.js, or TypeScript
- Experience with AI/ML frameworks such as TensorFlow or PyTorch is a plus
- Solid grasp of the software delivery lifecycle
- Experience with version control, including Git and GitHub
- Experience with data engineering tools such as Pandas and Spark
- Experience with cloud AI platforms including AWS, Azure, or Google AI
- Experience with distributed computing architectures
- Familiarity with open-source AI tools and libraries, including Hugging Face
- Deep technical expertise in one or two domains, with broad understanding across AI/ML, cloud, and consulting
- Experience designing, building, or integrating multi-agent systems and orchestration frameworks
- Practical knowledge of deploying RAG architectures and integrating structured and unstructured knowledge sources
- Knowledge of system-level optimisation and security best practices for scalable AI systems
- Ability to translate business requirements into technical solutions and communicate technical value to diverse stakeholders, including executive audiences
- Willingness to travel and work on customer premises as required
- Degree-level qualification in Computer Science, Informatics, Data Science, Engineering, or a closely related discipline, or equivalent professional experience
Benefits
Comp & perks- Flexible, supportive environment
- Well-being support through Be Well programs covering financial, mental, physical, and social health
- Hybrid-friendly culture
- Personalized development goals and continuous feedback
- Certifications with Microsoft, Google, and Amazon
- Coaching and hands-on learning experiences
- Cutting-edge learning opportunities
- Employee referral program