Senior Data and Applied Scientist
1 week ago
Overview
We are seeking a highly motivated Senior Data and Applied Scientist to join our Windows Servicing and Delivery - AI Solutions team. As a key member of our team, you will play a critical role in designing and delivering quality AI solutions that impact millions of devices and shape the work culture of our newly established team.
Responsibilities
- Delivering high-quality AI-powered solutions for internal and external customer requirements.
- Engaging with key partners to understand state-of-the-art LLMs and ML models, running them at scale in a performant and cost-effective manner.
- Anticipating, identifying, assessing, tracking, and mitigating project risks and issues in a fast-paced startup-like environment.
- Motivated to build constructive and effective relationships and solve problems collaboratively.
- Driving thought leadership, architecture, and high-scale, high-throughput, low-latency inferencing.
- Contributing to all phases (design, prototype, implement, test) of our modern, scalable, AI solutions.
- Applying advanced analytical and modeling methods to improve software development processes and code quality.
- Participating in code reviews, unit testing, and other quality assurance activities.
- Mentoring junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Working cross-team to integrate with partner teams and their systems.
Requirements
- Bachelor's or master's in computer science, data science, engineering, or a related field, or equivalent industry experience.
- 8+ years of professional software development experience with 4+ years focus on AI and machine learning applications.
- Experience in building enterprise-grade applications in C++/C#, Python, and experience with frameworks like PyTorch or TensorFlow.
- Experience with natural language processing, generative AI, or related fields.
- Experience of working with generative AI models, LLMs (GPT, Mistral, other Azure/hugging face models).
- Proven design and problem-solving skills, with an emphasis on quality and engineering excellence.
- Experienced building and maintaining a mature service - CI/CD, scalability, reliability, incident management.
- Proven communication skills, both verbal and written.
Preferred
- Knowledge and understanding of SLM (Small Language Models) and TLM (Tiny Language Models).
- Knowledge of Azure technologies (Service Fabric, Logic Apps, Azure SQL, Azure Storage) and Microsoft Stack (C#, SQL, ASP.NET).
- Platform and capability development experience in Azure/Cloud strong plus.
- Contributions to open-source projects or published research in relevant areas.
- Expertise in a big data system such as Spark, Hadoop, Yarn.
- Experience in working with micro-services architecture.
- Experience with agile/scrum methodologies.
Benefits
- Industry-leading healthcare.
- Educational resources.
- Discounts on products and services.
- Savings and investments.
- Maternity and paternity leave.
- Generous time away.
- Giving programs.
- Opportunities to network and connect.
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