Kyndryl · 2 weeks ago
Director, AI/ML Engineer
Kyndryl is a leader in AI innovation, dedicated to building advanced platforms that enable enterprises to harness artificial intelligence effectively. The role involves designing, developing, and deploying generative AI models to create business applications, working closely with cross-functional teams to integrate AI capabilities into scalable systems.
Information Technology & Services
Responsibilities
Build, train, and fine-tune generative AI models (e.g., LLMs, GANs, VAEs) to support features like automated code generation, UI design, workflow creation, or data synthesis
Collaborate with the software architect to integrate AI models into the platform via APIs, ensuring seamless interaction with backend and frontend systems
Design and optimize data preprocessing pipelines to prepare high-quality datasets for training and inference, tailored to business application needs
Enhance model efficiency (e.g., latency, memory usage) for real-time or near-real-time application generation, using techniques like quantization or pruning
Research and experiment with state-of-the-art GenAI techniques to improve platform capabilities, such as natural language understanding, image generation, or predictive analytics
Rigorously evaluate model outputs for accuracy, relevance, and robustness, ensuring generated applications meet user expectations and industry standards
Work with DevOps to deploy AI models into production, leveraging cloud infrastructure (e.g., AWS, Azure, Google) and containerized environments (e.g., Kubernetes, EKS, AKS, GKE)
Implement monitoring tools to track model performance and drift in production, iterating based on real-world feedback
Qualification
Required
4+ years in AI/ML engineering, with at least 1-2 years focused on generative AI models or similar technologies
Strong proficiency in Python and AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face)
Experience with model training, fine-tuning, and deployment in production environments
Familiarity with cloud AI platforms (e.g., AWS AgenticAI, Google AI Platform, Azure AI Foundry) and distributed computing
Knowledge of data engineering tools (e.g., Pandas, Spark) and version control (e.g., Git)
Hands-on experience with generative models (e.g., GPT, Stable Diffusion, BERT) and their application in automation, content creation, or predictive tasks
Ability to tackle complex challenges, from dataset biases to model scalability, with creative and practical solutions
Capable of explaining AI concepts and trade-offs to technical and non-technical team members
Design, develop, and iterate on prompts to elicit optimal responses from AI models for various use cases
Analyze AI outputs to identify patterns, biases, or inconsistencies and adjust prompts accordingly
Master's degree or PHD in Computer Science, Data Science, Mathematics, or a related field (or equivalent experience)
Preferred
Experience with low-code/no-code platforms or business application development
Background in natural language processing (NLP) or computer vision, depending on platform focus
Familiarity with reinforcement learning or prompt engineering for LLMs
Contributions to AI research, open-source projects, or a portfolio of GenAI work
Benefits
Medical and dental coverage
Disability
Retirement benefits
Paid leave
Paid time off
Company
Kyndryl
Kyndryl is an information technology and services company.
H1B Sponsorship
Kyndryl has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (37)
2024 (35)
2023 (20)
2022 (39)
2021 (2)
Funding
Current Stage
Public CompanyTotal Funding
$500M2024-02-20Post Ipo Debt· $500M
2021-11-04IPO
Leadership Team
Recent News
2026-01-09
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