Senior Data Scientist - AI Modeling & Advanced Analytics position at Kyndryl.| India

_{Posted 6 Days Ago} bot

Kyndryl Senior Data Scientist - AI Modeling & Advanced Analytics

Experience: General

Pattern: full-time

Country:

Copy Link Report

OND

Bangalore, Kar..........India

Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. The Role Are you passionate about solving complex problems? Do you thrive in a fast-paced environment? Then there’s a good chance you will love being a part of our Software Engineering – Development team at Kyndryl, where you will be able to see the immediate value of your work. We are seeking a highly skilled AI/ML Engineer with deep expertise in LLMs, agentic AI frameworks, MLOps, and Azure cloud environments. The ideal candidate will design, build, and deploy scalable AI systems leveraging modern LLM orchestration frameworks, vector search pipelines, and enterprise‑grade MLOps practices. This role also requires strong collaboration across squads, the ability to articulate AI solutions to stakeholders, and an understanding of regulated industries such as banking. As a Software Engineering - Developer at Kyndryl, you will be at the forefront of designing, developing, and implementing cutting-edge software solutions. Your work will play a critical role in our business offering, your code will deliver value to our customers faster than ever before, and your attention to detail and commitment to quality will be critical in ensuring the success of our products. The AI Engineer is responsible for designing, building, deploying, and optimizing AI‑powered solutions—including LLM‑based automation, multi‑agent systems, and intelligent workflows—to support banking, regulatory, operations, and back‑office modernization initiatives. The engineer collaborates with data, platform, security, and application teams to operationalize AI models that are secure, compliant, scalable, and aligned with organisation's digital transformation roadmap. Architect, develop, and operationalize LLM‑based solutions using Azure OpenAI (GPT models, embeddings, vector search). Build agentic AI systems and multi‑agent orchestration using frameworks such as LangChain, LangGraph, or equivalent. Implement RAG systems, retrieval pipelines, embeddings, and prompt engineering best practices. Develop scalable AI/microservice architectures using Python, containers, APIs, and event‑driven systems. Build and maintain MLOps pipelines including CI/CD for model deployment, versioning, monitoring, and telemetry. Perform data engineering tasks including ETL, ingestion, transformation, and vectorization. Deploy AI workloads securely on Azure cloud following enterprise security and governance standards. Partner with business and tech stakeholders to translate business challenges into AI‑driven solutions. Support model interpretability, explainability, and regulatory compliance for AI/ML systems. Using design documentation and functional programming specifications, you will be responsible for implementing identified components. You will ensure that implemented components are appropriately documented, unit-tested, and ready for integration into the final product. You will have the opportunity to architect the solution, test the code, and deploy and build a CI/CD pipeline for it. As a valued member of our team, you will provide work estimates for assigned development work, and guide features, functional objectives, or technologies being built for interested parties. Your contributions will have a significant impact on our products' success, and you will be part of a team that is passionate about innovation, creativity, and excellence. Above all else, you will have the freedom to drive innovation and take ownership of your work while honing your problem-solving, collaboration, and automation skills. Together, we can make a difference in the world of cloud-based managed services. Your Future at Kyndryl The career path ahead is full of exciting opportunities to grow and advance within the job family. With dedication and hard work, you can climb the ladder to higher bands, achieving coveted positions such as Principal Engineer or Vice President of Software. These roles not only offer the chance to inspire and innovate, but also bring with them a sense of pride and accomplishment for having reached the pinnacle of your career in the software industry. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Experience Hands‑on experience with Azure OpenAI models & APIs (GPT, embeddings, vector search). Proficiency in LLMS, NLP, prompt engineering, embeddings, and RAG pipelines. Experience with agentic AI and multi‑agent orchestration frameworks. Strong working knowledge of LangChain, LangGraph, or similar orchestration tooling. Strong Python programming skills for AI automation, pipelines, and backend services Experience with containerized deployments (Docker), microservices, and REST APIs. Familiarity with event‑driven architectures (queues, pub/sub, message brokers). Hands‑on experience with MLOps toolchains (CI/CD for models, monitoring, telemetry). Data engineering proficiency in ETL, data ingestion, transformation, vectorization. Experience working in Azure cloud ecosystems with secure deployment practices. Preferred Technical and Professional Experience Knowledge of ML frameworks such as PyTorch or TensorFlow. Experience with reinforcement learning, supervised and unsupervised ML techniques. Familiarity with MLflow, feature stores, and enterprise model registries Exposure to banking operations—KYC, fraud, credit, payments. Understanding of regulatory controls for AI (explainability, model risk governance). Experience with GitLab CI/CD, Terraform/Helm, and Azure Kubernetes Service (AKS). Knowledge of observability platforms such as Dynatrace, Azure Monitor, or ELK. Being You The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way. What You Can Expect Your career with us isn’t just a job—it’s an adventure with purpose. 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. From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth. We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. 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. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success. We want you to thrive here—and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Senior Data Scientist - AI Modeling & Advanced Analytics job opportunity at Kyndryl.

Saved Jobs

No Job Saved

Other Ai Matches