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UP.Labs is a first-of-its-kind venture lab unlocking the future of transportation and mobility.
The Role
The Sr AI/ML Engineer will design and deploy machine learning models, build computer vision systems, and develop LLM-based features in a collaborative, fast-paced environment.
Summary Generated by Built In
Overview
Technical Challenge
Responsibilities
Required Skills
Preferred Skills
Vantora Summary
Vantora is a dynamic venture studio dedicated to building innovative startup companies from the ground up. Our team thrives on solving complex problems, driving technological advancements, and creating impactful digital products. We’re seeking a highly skilled professional to join our growing team and contribute to our mission of launching the next wave of AI powered solutions for enterprise customers.
Technical Challenge
You will design, build, and iterate on applied AI agentic workflows and machine learning solutions, with a strong focus on natural language processing use cases, to support AI powered solution creation and product delivery. You will work across the modeling and experimentation lifecycle, leveraging Python and modern AI frameworks, and collaborate to deploy and operationalize solutions in Databricks and cloud provider environments.
Responsibilities
- Lead end-to-end machine learning initiatives—from problem framing and data exploration through model development, evaluation, and iterative improvement—focused on NLP-heavy applications.
- Develop and maintain Python-based ML pipelines and experimentation workflows to support rapid iteration.
- Build and integrate Generative AI solutions using modern AI frameworks (e.g., LangChain, CrewAI), ensuring solutions are testable and maintainable.
- Define evaluation criteria and run structured model/LLM evaluation using appropriate frameworks and metrics.
- Use Databricks and cloud provider services to work with data and scale experimentation and training workflows.
Required Skills
- Strong applied experience in data science and machine learning, including developing, evaluating, and iterating on production-oriented models.
- Demonstrated ability to build AI/ML solutions using Python.
- Hands-on experience with modern AI application frameworks such as LangChain or CrewAI.
- Practical experience working with Generative AI techniques and patterns in real-world applications.
- Experience working with graph based solutions (e.g. Neo4j) to design and implement ontologies and context graphs for AI agents.
- Understanding of agentic harnesses development including memory management and dynamic context compression techniques.
- Experience developing and improving NLP-focused machine learning solutions.
- Ability to work effectively in a Databricks-based environment for model development and experimentation.
Preferred Skills
- Experience with Apache Spark.
- Experience with LLM evaluation frameworks such as LangSmith.
We build high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. Our vision is to transform the moving world by pairing leading corporations and entrepreneurs with a proven methodology for launching and scaling software and hardware companies.
We work with corporate investors over a multi-year period to launch a portfolio of mobility-focused ventures. Our team is dedicated to the first year of a new venture’s life cycle, from ideation to minimum viable product build (and beyond) to recruiting and hiring the full-time team who will scale the business.
Skills Required
- Strong Python engineering skills for production-oriented AI ML systems
- Hands-on experience with machine learning fundamentals and workflows
- Experience building or deploying computer vision systems
- Experience working with modern LLMs and Generative AI tools
- Experience deploying AI ML systems into production environments
- Strong ownership mindset and ability to operate without fully defined requirements
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The Company
What We Do
We work with global corporate partners to identify the most pressing challenges that they, and broader society, face. Inspired by these complex problems, we launch startups built by proven entrepreneurs, product leaders and technologists that use their agility and talent to develop transformative solutions. After these companies have matured and proven market fit, our corporate partners are able to acquire them, reaping strategic value while enriching their culture and core business. We believe this to be the shortest road to a faster, cleaner, safer, and more accessible future.
Why Work With Us
We launch and innovate 6-8 portfolio organizations a year where no day is the same.
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