Full time At Kyndryl, we run and reimagine the mission‑critical technology systems that drive advantage for the world's leading businesses. with proven expertise and a continuous flow of AI‑powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. As a Senior Data Scientist at Kyndryl , you will play a key role in designing, developing, and deploying advanced Artificial Intelligence solutions that address complex business challenges and deliver measurable value to our clients. As part of a multidisciplinary team of AI specialists, data scientists, engineers, and architects, you will contribute to the full AI lifecycle, from problem definition and experimentation to production deployment, monitoring, and continuous improvement.

Translate complex business needs into actionable AI and Data Science solutions, identifying opportunities where Machine Learning, Generative AI, and Agentic AI can create tangible value. Explore and evaluate emerging AI methodologies, architectures, and technologies, combining established Data Science approaches with the latest advances in foundation models and intelligent agents. Design, develop, train, and evaluate predictive and analytical models using statistical methods, supervised and unsupervised learning, deep learning, and other advanced Data Science techniques.

Explore and implement Agentic AI: Develop intelligent agents and multi‑agent systems capable of reasoning, planning, interacting with tools and enterprise systems, and executing complex workflows with appropriate human oversight. Define and implement evaluation methodologies to assess model accuracy, reliability, robustness, and business performance, including specific approaches for evaluating LLM‑based and agentic systems. Lead the technical development of AI solutions, from exploratory analysis, prototyping, and experimentation to deployment and integration into enterprise environments.

Collaborate with engineering and platform teams to establish reproducible, maintainable, and scalable AI solutions, incorporating versioning, automated testing, monitoring, and continuous improvement. Contribute to the evaluation, observability, and continuous improvement of agentic AI systems, monitoring agent behavior, tool interactions, reliability, and end‑to‑end process performance, while supporting responsible autonomy and human oversight.

Leverage

Python, leading Machine Learning and Deep Learning frameworks, cloud AI platforms, and emerging GenAI and agentic frameworks, selecting the most appropriate technologies for each use case. Work alongside AI architects, software engineers, data engineers, domain experts, and business stakeholders to design integrated, production‑ready AI solutions. Contribute to architectural and technical decisions, promote engineering best practices,



and support the development of junior Data Scientists and AI practitioners.

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, Engineering, or a related technical field, combined with solid professional experience in Data Science, Machine Learning, or AI development.

Strong Data

Science and Machine Learning foundations: Strong proficiency in Python and relevant Data Science and AI libraries, such as Scikit‑learn, PyTorch, TensorFlow, Hugging Face, or equivalent technologies.

Experience across the AI development lifecycle, including data preparation, experimentation, model evaluation, deployment, and monitoring, with familiarity with MLOps, LLMOps, and emerging AgentOps practices.

Cloud AI platforms: Experience with Azure AI, AWS, or Google Cloud AI/ML services.

Enterprise AI projects: Previous involvement in AI‑driven digital transformation initiatives, enterprise automation, or the development of AI‑powered business solutions. A Master's degree, PhD, scientific publications, open‑source contributions, or active participation in technical and research communities will be considered an advantage.

We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow.

Our Be

Well programs are thoughtfully designed to support your financial, mental, physical, and social health-because we know that when you feel your best, you do your best. You won't just contribute-you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth. You'll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities-from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences.

At Kyndryl, we run and reimagine the mission‑critical technology systems that drive advantage for the world's leading businesses. with proven expertise and a continuous flow of AI‑powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. There's never a typical day as a System Administrator at Kyndryl, because no two projects are alike. You'll be managing systems data for clients and providing day-to-day solutions and security compliance.

Every position at Kyndryl offers a way forward to grow your career, from Junior System Administrator to Architect. We have opportunities for Cloud Hyperscalers that you won't find anywhere else,



including hands‑on experience, learning opportunities, and the chance to certify in all four major platforms. keen to drive your own personal and professional development. Minimum of 5 years of experience in Middleware administration.

Hands‑on experience with Linux and Windows Server environments.

Middleware Knowledge

Administration and configuration of: IBM WebSphere Application Server IBM IHS JBoss / Red Hat EAP Apache Tomcat IBM MQ Apache Server and NGINX Load balancing and high‑availability configurations. Application monitoring and troubleshooting. DevOps Skills Ansible Bash or PowerShell scripting Cloud Technologies Basic to intermediate experience with cloud platforms: Amazon Web Services (AWS) content identical to previous What You Can Expect section) Who We Are (Data Engineer) At Kyndryl, we run and reimagine the mission‑critical technology systems that drive advantage for the world's leading businesses.

The Role (Data Engineer) We are looking for a Data Engineer to join Kyndryl's Applications, Data & AI (ADAI) practice, supporting the implementation of modern cloud-native data platforms on Google Cloud Platform (GCP). Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform. Build and optimize data ingestion, transformation, and processing workflows for batch and real-time data.

Develop and maintain data models supporting analytics, reporting, and AI initiatives. Implement data quality validation, monitoring, and governance controls. Support orchestration, automation, and operationalization of data pipelines.

Who You Are (Data Engineer) 3+ years of experience as a Data Engineer or similar role. ~ Hands‑on experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, and Dataproc. ~ Strong SQL and Python programming skills. ~ Experience developing ETL/ELT pipelines and distributed data processing solutions. Knowledge of data warehousing concepts and dimensional modeling. ~ Spanish and English fluid level.

Experience with dbt, Spark, Kafka, Terraform, or Docker. Exposure to analytics and BI tools such as Looker or Power BI. Knowledge of AI/ML data pipelines and MLOps concepts is a plus.

Being

You (Data Engineer) ... (content identical to previous Being You sections) What You Can Expect (Data Engineer) ... (content identical to previous What You Can Expect section) All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status. " ,#

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