AI/ML Engineer (вакансія неактивна)

LITSLINK is looking for an experienced AI/ML Engineer to join our team and work on diverse client projects across different domains.

This role combines strong technical expertise with excellent communication skills. You will actively participate in pre-sale activities, communicate directly with clients, and design scalable AI/ML solutions tailored to business needs.

About the Role

• Work with international clients on AI/ML-driven projects
• Participate in pre-sales: analyze requirements, propose solutions, join client calls
• Design and develop end-to-end AI/ML solutions
• Collaborate closely with clients, sales team, and engineering team
• Take ownership of technical decisions and solution architecture

Requirements

• 3+ years of experience in AI/ML
• Strong Python skills (NumPy, Pandas, scikit-learn)
• Hands-on experience with NLP / LLM or Computer Vision
• Experience working with LLMs (OpenAI, HuggingFace, or self-hosted models)
• Solid understanding of ML lifecycle (data → training → evaluation → deployment)
• Experience deploying models (Docker, APIs, cloud — AWS / Azure / GCP)
• Strong knowledge of core ML algorithms (regression, classification, boosting, etc.)

Important for This Role

• Experience participating in pre-sales or technical discussions with clients
• Ability to break down business problems and propose effective solutions
• Strong communication skills — ability to explain complex concepts in simple terms
• Experience working in outsourcing / outstaffing environment is a plus

Nice to Have

• Experience with RAG and vector databases
• Experience with self-hosted LLMs (LLaMA, Mistral, etc.)
• Experience optimizing inference (latency / cost)
• MLOps experience (CI/CD, monitoring, pipelines)
• Experience working with large-scale data

Soft Skills

• Strong communication skills
• Proactive mindset and ownership
• Client-oriented approach
• Ability to work in ambiguous environments
• Structured thinking

We Offer

• Work on diverse AI/ML projects
• Opportunity to influence technical decisions
• Participation in pre-sales and client communication
• Remote work format
• Long-term collaboration