What are the responsibilities and job description for the Data Science Lead position at DS Technologies Inc?
About US: We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success.
DS Technologies Inc is looking for Data Science Lead role for one of our premier clients.
Job Title: Data Science Lead
Location: Pleasanton, CA (Local candidates only, Hybrid)
Industry: Information Technology / Artificial Intelligence
Job Category: Data Science / AI & Machine Learning / Generative AI
Overview
Brillio, in collaboration with Microsoft, is seeking a hands-on Data Science Lead to lead the deployment and scaling of Large Language Models (LLMs) in enterprise environments. This role requires deep technical expertise in Generative AI, strong coding and architectural skills, and the ability to lead teams and communicate business impact. Candidates should have a proven track record of delivering AI-powered solutions from concept to production.
Position
Lead Data Scientist Generative AI & LLMs
Responsibilities
Thanks
DS Technologies - Team
DS Technologies Inc is looking for Data Science Lead role for one of our premier clients.
Job Title: Data Science Lead
Location: Pleasanton, CA (Local candidates only, Hybrid)
Industry: Information Technology / Artificial Intelligence
Job Category: Data Science / AI & Machine Learning / Generative AI
Overview
Brillio, in collaboration with Microsoft, is seeking a hands-on Data Science Lead to lead the deployment and scaling of Large Language Models (LLMs) in enterprise environments. This role requires deep technical expertise in Generative AI, strong coding and architectural skills, and the ability to lead teams and communicate business impact. Candidates should have a proven track record of delivering AI-powered solutions from concept to production.
Position
Lead Data Scientist Generative AI & LLMs
Responsibilities
- Lead LLM-focused projects from Proof-of-Concept to production deployment
- Use Azure AI services for robust, scalable model deployment
- Design and optimize prompt engineering techniques for quality and performance
- Integrate LLMs with Databricks-based data pipelines
- Implement Retrieval-Augmented Generation (RAG) using structured/unstructured data
- Fine-tune pre-trained models for domain-specific use cases
- Ensure best practices in AI/ML Ops, governance, and monitoring
- Architect full-scale production AI systems with code scalability in mind
- Mentor junior data scientists and drive a high-performance team culture
- Translate complex AI solutions into business impact and actionable insights
- 12 15 years of data science experience (not exceeding 15)
- Proven hands-on experience with LLMs (e.g., GPT, BERT) and Generative AI
- Advanced Python and PySpark coding skills
- Proficient in SQL and large dataset handling
- Architectural experience in designing scalable AI/ML systems
- Deep knowledge of Azure AI services, Databricks, MLOps practices
- Strong understanding of statistical models, forecasting, classification, and ML frameworks (TensorFlow, PyTorch, etc.)
- Familiarity with Kubeflow, Azure ML Studio, BentoML, Great Expectations, and Evidently AI
- Skilled in prompt engineering, fine-tuning, and RAG techniques
- Strong business acumen and ability to communicate with executive stakeholders
- Local candidates to Pleasanton, CA only (must be onsite 3 days/week)
- Immediate need with quick turnaround
- Senior Data Scientist with strong GenAI/LLM expertise and production deployment experience
- Technically strong in Python, Azure AI, and Databricks
- Proven team leader with ability to translate data science into business results
- Experienced in both model development and AI system architecture
Thanks
DS Technologies - Team