Miyapur Hyderabad Telangana Customer success engineer i kubernetes Jobs – 145 Open Jobs Today

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Senior Elastic ML & Gen AI Engineer

Kyndryl -
Hyderabad, Telangana

Apply Now

Job details

Full-time

Qualifications

Elasticsearch
Azure
Law
Kubernetes
PyTorch
Master's degree
AWS
Machine learning
Natural language processing
Kafka
AI
Python

Full job description

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

We're looking for a Senior Engineer to design, build, and scale machine learning and generative AI solutions on the Elastic Stack. You'll own the ML and Gen AI capabilities end-to-end—from anomaly detection and semantic search to vector-powered RAG—turning data into intelligent, production-grade search and insight experiences.

Design and implement Elastic ML solutions: anomaly detection, data frame analytics (classification, regression, outlier detection), and forecasting.

Build semantic and hybrid search using vector search (kNN), dense/sparse vectors, and ELSER. Develop Gen AI / RAG pipelines using Elasticsearch as a vector store, integrating embeddings and LLMs (OpenAI, Hugging Face, Azure OpenAI). Deploy and manage NLP and transformer models in Elasticsearch via Eland; build inference ingest pipelines.

Design data models, mappings, and ingestion flows optimized for vector and ML workloads. Tune relevance, embeddings, and retrieval quality; evaluate and improve search/RAG performance. Build Kibana dashboards and ML jobs for monitoring, alerting, and explain ability. Partner with data, platform, and product teams to operationalize ML/Gen AI features at scale.

Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

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 skills and experience

5+ years in ML/AI or data engineering, with strong hands-on Elastic Stack experience.

Hands-on expertise with Elastic ML (anomaly detection, data frame analytics) and the Elasticsearch inference/NLP capabilities.

Strong experience with vector search, embeddings, semantic/hybrid search, and ELSER.

Practical Gen AI / RAG experience: LLM integration, prompt design, retrieval pipelines, and grounding.

Proficiency with Python and ML libraries (PyTorch, Hugging Face Transformers, scikit-learn) and Eland.

Proficiency with Elasticsearch DSL/ES|QL and large-scale data handling.

Experience with cloud environments (AWS/Azure/GCP); familiarity with containers and Kubernetes.

Preferred skills and experience

Elastic certifications.

Experience with MLOps, model evaluation frameworks, and streaming tools like Kafka.

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.

Apply Now

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