DataRoot Labs

DataRoot Labs is a full-cycle AI R&D center and the largest talent and compute pool in Ukraine. In 8+ years in business, we’ve completed over 45 AI-enriched projects for numerous industry leaders and startups in Automotive, Energy and natural resources, Navigation, Gaming, Education, and more.

Our client provides autonomous trucks for logistics yard operations, improving safety and efficiency by replacing human drivers.

You’ll be responsible for making the AI stack drive the vehicle properly!
 

Key Responsibilities:

• Write and maintain efficient and scalable code in C++ with a strong focus on CUDA
• Profile and fine-tune CUDA kernels for performance, memory usage, and scalability
• Work with multi-threaded and parallel computing concepts to maximize GPU throughput
• Work closely with ML engineers, system architects, and DevOps to deliver performant systems
• Provide input on software design, architecture, and best practices in GPU-accelerated environments
• Design performance tests and benchmarks to validate software under real-world loads
   

Requirements:

• 4+ years with C++, including modern standards (C++11/14/17)
• 1+ year of hands-on experience with CUDA development
• Strong understanding of parallel computing and GPU optimization techniques
• Familiarity with profiling tools such as Nsight, Valgrind, or CUDA Profiler
• Good understanding of memory management, multithreading, and data structures
• Intermediate English (written & spoken) for documentation and collaboration.
   

Would be a plus:

• Experience in Automotive
• Knowledge of machine learning or computer vision pipelines
   

What We Offer:

• Startup culture, a strong goal-oriented team, and a research mindset
• Opportunity to leverage your engineering skills for fellow engineers and shape the future of AI
• Working with the newest technical equipment
• 20 working days of annual vacation leave
• English courses, Educational Events & Conferences
• Medical insurance

Our client is an AI-driven company revolutionizing biopharma research and commercialization. Our mission is to accelerate the development of lifesaving cures by enhancing data-driven decision-making.

Key Responsibilities:

• Design and deploy LLM-powered applications, integrating LangChain/LangGraph for real-world biopharma use cases
• Build and maintain knowledge graph architectures, ensuring seamless integration of biological and clinical datasets
• Implement production-grade AI/ML models, optimizing for scalability, reliability, and compliance with industry standards
• Write clean, maintainable code, develop automated testing pipelines, and follow modern MLOps principles
• Work with AWS, Azure, or GCP to deploy and manage AI models at scale.
• Continuously refine ML models to improve accuracy and efficiency in large-scale applications
• Partner with data scientists, engineers, and business teams to deliver AI-powered solutions in drug development

Requirements:

• 7+ years of experience in AI/ML, including designing, building, and deploying LLM applications
• Proficiency in Python, R, and deep learning frameworks (TensorFlow, PyTorch)
• Hands-on expertise in LangChain for question-answering, chatbots, and workflow automation
• Strong understanding of ML algorithms, statistical modeling, and NLP techniques
• Experience with MLOps tools and cloud platforms (AWS, Azure, GCP)
• Solid data engineering skills, including ETL pipelines, database management, and object-oriented design
• Experience working with Databricks, Snowflake, and containerization tools like Docker & Kubernetes
• Strong problem-solving, communication, and collaboration skills

Would be a plus:

• Experience in biopharma, life sciences, or related industries
• Prior experience at Meta, Google, OpenAI, or similar companies
• Background in MLOps and deploying AI models in regulated environments

What We Offer:

• Startup culture, a strong goal-oriented team, and a research mindset
• Opportunity to leverage your engineering skills for fellow engineers and shape the future of AI
• Working with the newest technical equipment
• 20 working days of annual vacation leave
• English courses, Educational Events & Conferences
• Medical insurance

Our client is an AI-driven company revolutionizing biopharma research and commercialization. Their mission is to accelerate the development of lifesaving cures by enhancing data-driven decision-making.
 

Key Responsibilities:

• Develop scalable data pipelines for ingestion, processing, and analysis of complex datasets.
• Integrate structured & unstructured data sources to create unified, AI-ready data environments.
• Collaborate with AI & product teams to enhance data architectures supporting AI models.
• Ensure compliance & security in line with pharma industry regulations (FDA, EMA, etc.).
• Optimize cloud-based workflows for large-scale data processing.
• Work cross-functionally with data scientists, engineers, and domain experts to align data solutions with business needs.
   

Requirements:

• 5+ years of experience in data engineering, preferably in pharmaceuticals or life sciences
• Expertise in Python, PySpark, SQL, Databricks, Snowflake, DBT, PostgreSQL
• Hands-on experience with AWS (preferred), Terraform, CloudFormation, Docker, Kubernetes
• Strong background in designing scalable data pipelines
• Knowledge of data governance & compliance frameworks in the pharma industry
• Excellent problem-solving & collaboration skills.
   

Would be a plus:

• Experience with LLMs & embeddings
• Integration with ML platforms (e.g., AWS SageMaker)
• Experience handling unstructured data (PDFs, images)

What We Offer:

• Startup culture, a strong goal-oriented team, and a research mindset
• Opportunity to leverage your engineering skills for fellow engineers and shape the future of AI
• Working with the newest technical equipment
• 20 working days of annual vacation leave
• English courses, Educational Events & Conferences
• Medical insurance