WaveAccess

Data Scientist LLM

Не указана
  • Тбилиси
  • Полная занятость
  • Удаленная работа
  • Более 6 лет

WaveAccess is looking for a Data Scientist – AI & Agentic systems. You will tackle real business challenges using a variety of data science methods, modern technology stacks, and cutting-edge techniques. In addition, you will help shape AI-driven features for our partners by assessing feasibility, researching agent-based AI solutions, defining data pipelines, and ensuring robust model training and optimization.

Responsibilities

AI Feature Development & Feasibility Analysis

  • Work with product managers and engineers to evaluate potential AI-driven features for PACE IDP (Internal Development Platform)
  • Assess feasibility, risks, and expected outcomes for AI implementations.

Agentic AI Research & Implementation

  • Investigate and prototype agent-based AI models that can automate developer workflows within the IDP.
  • Experiment with AI frameworks for building autonomous AI agents.

Data Strategy & Pipeline Development

  • Define and implement data pipelines required for AI-driven features.
  • Work with engineering teams to ensure data collection, storage, and processing align with model requirements.

Model Training & Optimization

  • Develop, fine-tune, and deploy ML models that enhance developer experience within the platform.
  • Optimize models for performance, cost-efficiency, and scalability

Close Collaboration

  • Work closely with cross-functional teams to understand client requirements and achieve significant results

Requirements

  • At least 3 years of experience as a Data Scientist
  • English language proficiency at B2 level or higher
  • Knowledge on DevOps, DevSecOps concepts – ES: this would be a great plus. Overall you are aware of the field PACE is working in – all about delivery , so this would help.
  • In depth understanding on e2e LLM hosting and deployments of models
  • Experience in implementation of RAG
  • Presentation skills

Technologies

  • Python, R, or Julia
  • LLM
  • Standard NLP stack
  • Standard ML stack
  • Basic SQL
  • Git
  • MLOps stack
  • Vector databases (Postgres+pgvector / Milvus / Qdrant / Faiss)

Nice to Have

  • Strong background in predictive analytics, NLP, and time-series modeling.
  • Hands-on experience with MLOps, model deployment, and pipeline automation – ES: general understanding of how to deliver the models and their output to customers in the most efficient way.
  • Knowledge of mathematical statistics
  • Experience with S3
  • Linux + bash, ssh
  • Experience in written and verbal communication with business stakeholders
  • Experience in full-cycle development

Would Be a Plus

  • Experience developing RestAPIs
  • Snowflake
  • Docker
  • Understanding of CI/CD
  • Java/C++/other languages

We Offer

  • Work in a dynamic international team
  • Official employment, 100% paid sick leave and vacation
  • Option to collaborate via sole proprietorship or self-employment
  • Participation in international and Russian projects
  • Voluntary health insurance with dental coverage
  • All necessary equipment for work
  • Corporate training programs
  • Wide opportunities for self-realization, professional, and career growth
  • A democratic approach to processes and a flexible start to the workday