ML Engineer (Building human-like chat bot)

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.