Data Engineer/Scientist (LLM)

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 top AI engineers.

About the client:
Our client specializes in inventory optimization for industrial and manufacturing companies, helping them streamline inventory and optimize working capital. Their browser-based platform, hosted on Azure, is designed to manage and refine inventory processes, enabling companies to buy only what they need and proactively manage stock.

About role:
We are looking for a talented Data Engineer/Data Science who will join the team.

Requirements:
– Minimum 3 years of practical experience in data science.
– Experience in supply chain/inventory optimization domains.
– Extensive experience with mathematical optimization – linear, mixed integer programming, deterministic and stochastic approaches, optimization frameworks (Gurobi/Cplex/AMPL/Pyomo/other).
– Strong understanding of both deterministic and machine learning algorithms.
– Proficiency in working with relational data.
– Experience working with frameworks: Advanced Python Skills, specifically in Pandas, SQL, and PyTorch.
– Familiarity with collaborative workflows, including Git and code reviews.
– Strong communication skills in English (C1).
– Willingness to be available for daily client meetings at 10:00/10:30 PST.

Nice to have:
– Proficiency in GenAI Expertise, Vector Databases, and chaining LLMs.

Responsibilities:
– Develop a specific algorithmic optimization prototype for inventory operations.
– AI Algorithm Development: Research, design, build, deploy, and validate the optimization algorithm for inventory operations.
– Data Processing: Implement data processing crucial to the core logic.
– Analysis: Analyze data that depicts the use cases to get a full picture of the context and impact the prototype can have.
– Utilize statistical and visualization tools to summarize and communicate findings effectively.

The company offers:
– Opportunity to work on a cutting-edge localization platform with AI-driven innovation.
– A collaborative, dynamic team environment with a culture of learning and growth.
– Competitive salary and flexible work arrangements.

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