Senior Data Scientist

3 weeks ago

Singapore NIVABIZ PTE. LTD. Full time
Roles & Responsibilities

Who We Are

We are 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 us? 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

Collaborate with business partners, stakeholders, product owners, and data teams to understand business requirements and translate them into GenAI (enterprise) solutions.
Optimize and fine-tune large language models for better performance, latency, memory, and throughput.
Work with software developers and data scientists to integrate AI systems into existing platforms or applications.
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.
Play a lead role in the technical and architectural decision-making process with external GenAI service providers (e.g., Azure Open AI, GCP Gemini models, or AWS Bedrock, and other open-source LLMs) to ensure that the solutions are scalable, maintainable, and cost-effective.


Your Future with Us

Becoming a Senior Data Scientist is an excellent gateway to many different paths. You’ll create a well-rounded skill set 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 move vertically to become a Chief Data Scientist. With many types of Data Science roles, there’s an opportunity for everyone to find the perfect fit.


Who You Are

You're skilled and possess the required experience to prove it. However, just as important is your growth mindset—you’re keen to drive your personal and professional development. You prioritize customer success in your work and are open and inclusive in how you collaborate with others.

Required Skills and Experience

  • 10-15 years of experience in the data science and AI industry
  • PhD qualifications preferred
  • Experience with LLMs, Ci/CD pipelines design and management, understanding of LLMops, and hands-on experience with ML and DL frameworks and libraries
  • Expertise in optimizing and fine-tuning large language models for enhanced performance, latency, memory, and throughput

Being You

Diversity is about more than appearances or backgrounds; it’s how we think and who we are. We welcome people from all cultures, backgrounds, and experiences. Our Inclusion Networks are just one of many ways we create a supportive workplace. This commitment to inclusivity means everyone can bring their whole self to work, individually and collectively, supporting the activation of an equitable culture.


What You Can Expect

With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, form new relationships, and create new value. We care about your well-being and offer benefits that provide choice, reflecting the diversity of our team and supporting you and your family throughout life's moments. Our learning programs grant access to the best in industry certifications, including Microsoft, Google, Amazon, Skillsoft, and more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. We invest heavily in your growth, aiming for mutual success.

4o


Tell employers what skills you have

Machine Learning
Azure
Pipelines
Architectural
Mathematics
Architects
Throughput
Customer Success
SQL
Python
Team Lead
Statistics
Wellbeing
GCP
Data Science
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