Intetics Inc. is a leading American technology company providing custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions built with SMAC, RPA, AI/ML, IoT, blockchain, and GIS/UAV/LBS technologies.
10 грудня 2024

Senior ML/DS Engineer

Київ, Харків, Одеса, Батумі (Грузія), Дюссельдорф (Німеччина), Краків (Польща), Варшава (Польща), Єреван (Вірменія), віддалено

Intetics Inc, a leading global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a talented Senior ML/DS Engineer to join our team.

About the Project: Innovative AI marketplace. From scratch.

Key Responsibilities

  • Design and implement advanced semantic search systems using LLMs, RAG, and vector databases.
  • Fine-tune BERT and other language models to improve search accuracy and relevance.
  • Optimize and measure search metrics (e.g., NDCG, MRR) to ensure system performance.
  • Integrate and manage vector databases (e.g., Pinecone, Milvus, FAISS) for semantic search.
  • Collaborate cross-functionally to deliver a seamless, high-performing solution.

Requirements

  • 4+ years of engineering experience, with a focus on ML/NLP applications.
  • Practical experience in fine-tuning BERT models and measuring search performance metrics.
  • Strong knowledge of RAG (Retrieval-Augmented Generation) architectures and semantic search.
  • Experience working with vector databases (e.g., Pinecone, FAISS, Milvus) and embedding-based search.
  • Proficiency in LLM-based solutions (e.g., GPT, LLaMA) and their integration in production systems.
  • Experience deploying ML solutions into production environments.

Nice to Have

  • Backend development experience using FastAPI.
  • Solid understanding of containerization technologies like Docker and cloud platforms (AWS, Azure, or GCP).
  • Familiarity with search tuning techniques (e.g., BM25, Elasticsearch optimization).
  • Knowledge of infrastructure as code tools (e.g., Terraform, Ansible).
  • Experience with Kubernetes for orchestration.
  • Understanding of conversational AI pipelines and NLP frameworks.
LinkedIn