Overview
ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide.
ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.
What You'll Do
- Design, build, and deploy advanced machine learning and GenAI models to solve key business problems.
- Architect and develop complex, stateful multi-agent systems and workflows using modern agentic frameworks like Lang Graph.
- Develop and product ionize sophisticated AI systems, including fine-tuning open-source LLMs, building advanced Retrieval-Augmented Generation (RAG) pipelines, experience in advanced prompt engineering development and designing multi-agent systems.
- Lead the research, experimentation, and implementation of novel GenAI techniques to solve complex business problems, pushing the boundaries of what is possible.
- Lead the end-to-end lifecycle of data science projects, from initial conception and data analysis to model deployment and in-production monitoring.
- Apply classical machine learning techniques (e.g., predictive modeling, time-series analysis, classification) to analyze large-scale, complex datasets.
- Collaborate closely with cross-functional teams, including engineers, product managers, and domain experts, to deliver integrated AI solutions.
- Ensure the operational viability of deployed models by implementing robust monitoring for performance and data drift.
- Provide guidance and mentorship to Associate team members.
What You'll Bring
- A PhD Degree in Computer Science, Statistics, or a relevant field or a master's degree with 3-5 years of relevant post-collegiate work experience.
- Demonstrated experience in designing, building, and deploying Generative AI applications, with hands-on expertise in techniques such as fine-tuning, prompt engineering, Agentic systems, Retrieval-Augmented Generation (RAG), and working with vector databases.
- Strong proficiency in Python and core data science libraries (e.g., pandas, scikit-learn).
- Experience with deep learning frameworks such as PyTorch or Tensor Flow.
- Prior leadership experience from a relevant position.
- Fluency in English.
Additional Skills
- Deep, hands-on experience building multi-agent systems with frameworks like Lang Chain, Lang Graph, or similar Agent Development Kits (ADKs).
- Deep experience with GenAI frameworks like Lang Chain, Llama Index, Hugging Face ecosystem & familiarity to MCP tools.
- Experience with model quantization, inference optimization, and other techniques for the efficient deployment of large models.
- Experience with cloud platforms (AWS, GCP, or Azure) and their AI/ML services.
- A strong track record of applying data science to solve complex, real-world problems.
Perks & Benefits
ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers…