Senior Data Scientist

Job Description Summary

Collaborate with Business Partners, Stakeholders, product owners and data teams to understand the business requirements and translate them into GenAI (enterprise) solutions. To develop GenAI capability for ASEAN.

Who we are

Kyndryl is a market leader that thinks and acts like a start-up. We design, build, manage, and modernize the mission-critical technology systems that the world depends on every day. So why work with Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers, and our communities.

The Role

1. Collaborate with Business Partners, Stakeholders, product owners and data teams to understand the business requirements and translate them into GenAI (enterprise) solutions.
2. Optimize and fine-tune large language models for better performance, latency, memory, and throughput.
3. Work with software developers and data scientists to integrate AI systems into existing platforms or applications.
4. Identify relevant data sources for specific Use Cases and design methods for data collection, integration, cleansing, and transformation. Partner with data scientists and architects to ensure the quality and relevance of data for GenAI model training.
5. Play a lead role in the technical and architectural decision-making process with external Gen AI service providers (for example: Azure Open AI, GCP Gemini family of models, or AWS Bedrock, and other open source LLMs) to ensure that the solutions are scalable, maintainable, and cost-effective.

Your future at Kyndryl

Becoming a Senior Data Scientist at Kyndryl is an excellent gateway to many different paths. You’ll be creating a well-rounded skillset while gaining professional certifications and qualifications. You can evolve horizontally into other technical or non-technical areas such as Data Science Team Lead, VP of Data Science, Chief Data Officer or you can move vertically to become a Chief Data Scientist. There are many different types and flavors of Data Science roles, so everyone can find the opportunity that suits them best.

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 your work. And finally, you're open and borderless - naturally inclusive in how you work with others.

Job Qualifications

1. 10 - 15 years of experience in the data science and AI industry.
2. PHD qualifications preferred.
3. Must have experience in LLMs, experience in Ci/CD pipelines design and management, understands LLMops, hands-on with ML and DL frameworks and libraries.
4. Demonstrate knowledge in optimizing and fine-tuning large language models for better performance, latency, memory, and throughput.