Advanced Data Science Associate Consultant - Generative AI and Machine Learning jobs in United States
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ZS · 12 hours ago

Advanced Data Science Associate Consultant - Generative AI and Machine Learning

ZS is a management consulting and technology firm focused on improving life through data, science, and technology. They are seeking an Advanced Data Science Associate Consultant specializing in Generative AI and Machine Learning to design, develop, and deploy impactful AI solutions while collaborating with cross-functional teams.

ConsultingManagement ConsultingMarketing
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H1B Sponsor Likelynote

Responsibilities

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 LangGraph
Develop and productionize 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

Qualification

Generative AIMachine LearningPythonDeep LearningMulti-Agent SystemsCloud PlatformsEnglish FluencyLeadership Experience

Required

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 TensorFlow
Prior leadership experience from a relevant position
Fluency in English

Preferred

Deep, hands-on experience building multi-agent systems with frameworks like LangChain, LangGraph, or similar Agent Development Kits (ADKs)
Deep experience with GenAI frameworks like LangChain, LlamaIndex, 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

Benefits

Health and well-being
Financial planning
Annual leave
Personal growth and professional development
Robust skills development programs
Multiple career progression options
Internal mobility paths
Flexible and connected way of working

Company

ZS is a management consulting and technology firm that partners with companies to improve life and how we live it.

H1B Sponsorship

ZS has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (351)
2024 (297)
2023 (251)
2022 (440)
2021 (292)
2020 (164)

Funding

Current Stage
Late Stage

Leadership Team

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Arun Shastri
Principal
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Victoria L Summers
Principal
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Company data provided by crunchbase