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Kyndryl

AI/ML Specialist

Kyndryl

AI/ML Specialist designing and implementing AI/ML models for predictive analytics at Kyndryl. Collaborating with data engineers to integrate models into production while ensuring fairness and transparency.

Posted 5/12/2026full-timeBangalore • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
PythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact
  • Design and implement AI/ML models for predictive analytics and citizen services optimization
  • Develop NLP, computer vision, or deep learning models as per project requirements
  • Process, clean, and validate large datasets
  • Collaborate with data engineers and BI teams to integrate models into production
  • Ensure explainability, fairness, and transparency of AI models
  • Conduct research on emerging AI technologies relevant to e-Governance
  • Clearly and persuasively communicate complex technical and business concepts to both customers and team members
  • Identify and frame problems, lead collection of information, and integrate information to produce decisions
  • Improve effectiveness, efficiency and delivery of services through the use of technology and technical methods
  • Driving the design, development, integration, delivery, and evolution of highly scalable distributed software
  • Collaborate closely with software engineers, architects, product managers, and partner teams
  • Maintain and drive the clearing of technical debt, vulnerabilities, and currency of 3rd party components

Requirements

What you’ll need
  • 6+ years of experience
  • At least 4+ years in AI/ML solution design and deployment
  • B.Tech/BE - IT/Data Science
  • Proficiency in Python/R, TensorFlow, PyTorch, Scikit-learn, NLP frameworks
  • Experience in handling large datasets and data pipelines
  • Strong knowledge of AI governance, ethics, and model explainability
  • Skilled in one or more of the following areas: Application Development, Data Platform, Security, Application Integration, Data Engineering, Server Systems, Packaged Application Implementation, Business Analysis, Network Systems, or Storage Systems
  • Certification in AI/ML/Data Science (preferred)
  • Master's degree in Computer Science, Information Security, or a related field (preferred)

Benefits

Comp & perks
  • Flexible work environment
  • Professional development opportunities
  • Wellness programs

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Hard Skills & Tools
AI/ML solution designNLPcomputer visiondeep learningPythonRTensorFlowPyTorchScikit-learndata pipelines
Soft Skills
communicationproblem-solvingcollaborationleadershipdecision-makingtechnical debt managementefficiency improvementservice delivery enhancement
Certifications
AI/ML certificationData Science certification