ML Engineer

ML-engineer(Building human-like chat bot)
 Location: Not RU or RB
 Our experienced development team with over 10 years of expertise is looking for an experienced Machine Learning Engineer. You will join a strong team of engineers, have a direct impact on product metrics, enjoy a high degree of decision-making autonomy, and receive a competitive compensation package.
 
 Role & responsibilities
- Design and develop human-like, action-level chatbots — dialog agents that not only converse naturally but also initiate and execute user workflows inside the product (data collection, process triggering, task completion).
- Participate in the architecture and development of an intelligent, context-aware translation system that preserves meaning, tone, and style.
- Lead experiments and deploy ML/NLP features into production with high stability and measurable results.
- Work with product and engineering teams to ensure fast, accurate, and reliable interaction between ML components and backend services.
- Own the full ML feature lifecycle: data collection, experimentation, model training, deployment, monitoring, and quality improvement.

Must-have requirements
 - 3+ years of experience with Python development and maintaining production-grade services.
 - Experience in Web/API development (REST, versioning, logging, observability).
 - Strong skills in Pandas, NumPy, and SQL for data processing and analysis.
 - 1+ year of hands-on experience solving real ML tasks (NLP/CV) within production projects.
 - Experience with TensorFlow, Keras, and/or Hugging Face frameworks.
 - Understanding of model deployment and monitoring practices.
 - Solid knowledge of GIT, HTTP(s), JSON/XML, and basic networking protocols (TCP/IP).
 - Understanding of SDLC fundamentals, code review, CI/CD pipelines.
 - Familiarity with LLM-based architectures (prompt engineering, RAG/fine-tuning, backend integration).
 - Experience building intelligent chatbots that perform real actions in the product (not just FAQ or support bots).
 
 Nice to have
- Experience with PyTorch, SciPy, OpenCV, Matplotlib, LangChain or LlamaIndex.
- Experience with Docker, NoSQL or Vector Databases (e.g., Weaviate, PGVector, Milvus).
- Basic JavaScript knowledge for integrating ML services with the frontend.
- Diffusion-based image generation (e.g., Flux, LoRA, inference optimization) — optional, but a strong plus.
- Automated LLM evaluation frameworks (offline/online harnesses, A/B testing).
- Experience working with multimodal models (text↔️image, vision-language).

How we work
- Engineering rigor: measurability, reproducibility, degradation control.
- Collaborative architecture: decisions driven by data, not intuition.
- Product focus: response time, accuracy, scenario conversion, and cost per task.

Working Conditions:
- Remote work in a friendly and comfortable team of professional developers WITHOUT the oppression of marketers;
- On-time salary starting from $10000 gross;
- 2 weeks paid holiday a year;
- Paid sick days;
- Paid time off on major Slavic holidays;
- Opportunity to attend professional courses at company’s expense;
- Working week: Sunday-Thursday, 10 a.m. to 7 p.m. Israel time.
 

Contact: Показать контакты