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.