The UKEESS Software House team is currently looking for a Senior AI Data Scientist / Engineer to join our team for a full-time position (remotely in Ukraine or in Lviv’s office).
About the Customer and the Project:
Our customer is the world’s largest DNA network, based in the USA. This presents a unique opportunity to work with more than 60 billion digitized global historical records, 100 million family trees, and 18+ million people in their growing database. Our customers help people discover their family stories and gain actionable insights about their health and wellness.
About the team:
You will join the AI Content team, a dynamic group at the forefront of Document Understanding. You’ll play a vital role in developing innovative AI models that extract and organize text and image information from billions of historical and genealogical records, enabling customers to discover, share, and connect with their family history.
As a member of the team, you will work with KB (Knowledge Base) and RAG (Retrieval Augmented Generation) implementations, integrating architectures leveraging SQL-structured databases along with vector databases supporting semantic search and retrieval applications. You will work with a dedicated mentor from the data science team, as well as engineering teams, to train, optimize, and deploy models that promote product development, customer success, and content creation across our project.
What you will do: * Configure structured and vector databases: Align and sync database schemas across structured and vector databases * Curate and organize content collection metadata: Prepare and format provided content collection metadata to be compatible with defined database schemas * Ingest content collection metadata: Ingest collection metadata from provided sources into a structured SQL database. * Embeddings generation: Help develop a tool/script to generate embeddings from the structured data to populate the vector database. * Iterative improvement: Iterate on adjusting the database schema, indexes, embeddings, etc., to support various queries and use cases for analyzing the ingested content collection metadata * Collaborate on Cloud Deployment: Partner closely with ML Ops and Data Science Engineers to seamlessly deploy datasets, truth sets, models, and pipelines for training and inference in cloud environments. * Communicate Insights Effectively: Clearly and confidently present your findings, deliverables, and proposed solutions to technical and non-technical audiences, including teams, stakeholders, and executives.
Requirements: * 5+ years of experience in Data Science * Strong hands-on commercial experience with LLMs in production, RAG architecture, and agentic systems * Expertise with data collection, organization, curation, and formatting to populate SQL databases. * Experience with SQL databases, including adjusting schemas and indices to optimize for efficient queries. * Familiar with embedding generation and use of vector databases for semantic search and retrieval. * Strong proficiency and experience with Python and relevant tools and libraries * Practical experience with cloud platform AWS (e.g. Amazon SageMaker, EC2, S3, AWS Lambda). * English: Upper-intermediate at least (both spoken and written)
It will be a plus: * Knowledge and experience with cloud platforms and related AI/ML services such as Google GCP Gemini API, Vertex AI, Azure, etc. * Strong knowledge and experience with LightLLM * Commercial experience with Terraform or CloudFormation * Experience with agentic web scraping tools
What You’ll Gain * Mentorship & Growth: Learn from experienced Data Scientists while tackling meaningful, real-world AI projects, expanding your knowledge and professional network within a collaborative culture. * Collaboration & Impact: Work alongside top industry professionals and help shape the tools that bring family history to life for millions of users. * Innovation & Purpose: Join a team at the forefront of applying AI to historical data — where every model you build helps preserve human stories.
What do we offer our new colleague? * Competitive compensation (based on market data but also depending on the technical level of the candidate) * Flexible work schedule * 3 health packages to choose * Annual paid vacation and state holiday celebration * Free English classes (online) * Individual approach to professional growth * Lack of bureaucracy and micromanagement * Modern, comfortable office facilities (a barbecue zone, kitchens, lounge rooms, coffee machines, etc.) * Foreign business trips (after the war) * On-site parking lot and charge station for Electric Cars * Corporate gifts, celebrations, and fun activities * Sports activities: ping-pong, soccer, work-out
Suppose you have a passion for solving challenging problems, building scalable, robust systems, love working with the latest technologies in a fast-paced, flexible environment, and are excited about the prospect of having a significant impact on products with more than 3 million paying subscribers.
