ML Engineer
7.0/10
Netbell
Not specified
Remote
mid
4 days ago
aidevPythonLLMDockerKubernetescloud
AI Summary
The vacancy is well-structured with clear tasks and requirements, but lacks salary transparency and company links.
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Description
Responsibilities
- •Integrate LLM into products and services (API, backend, data processing pipelines);
- •Develop and optimize prompts, CoT, system instructions;
- •Evaluate response quality (metrics + human eval);
- •Set up guardrails: safety, filtering, compliance;
- •Build RAG systems:
- •data indexing;
- •work with vector databases;
- •optimize search and generation;
- •Optimize inference (cost, latency, batching, caching, quantization);
- •Participate in architectural decisions with the product and ML team;
- •Research and implement new approaches and models;
- •If necessary: work with multimodal models (text, images, documents).
Conditions
- •Full remote work;
- •Accredited IT company;
- •Interesting product, modern stack, microservice architecture;
- •Well-known clients from the top 10 in their segments;
- •Skill enhancement under the guidance of leads with 8+ years of experience;
- •Competitive salary based on interview results + quarterly OS collection with bonuses for top employees;
- •Opportunity to take on additional tasks for corresponding rewards;
- •Bonuses for mentoring junior employees;
- •Quarterly bonuses and gifts for top employees;
- •Refer a friend and receive a generous reward for the recommendation.
Requirements
Requirements
- •Proficient in Python;
- •Experience with LLM in production (not just pet projects);
- •Understanding of:
- •prompt engineering;
- •RAG approaches;
- •model quality assessment;
- •Experience deploying ML/LLM solutions (Docker, Kubernetes, cloud);
- •Experience with vector databases.
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