Data Scientist LLM

Компания "WaveAccess"

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