Middle ML Engineer

📋 Description

• Design and deliver ML pipelines from experimentation to production
• Build and optimize models: supervised, unsupervised, and generative AI
• Write clean, tested, modular Python code
• Deploy and monitor models; track performance and drift
• Contribute to LLM apps: RAG systems and agent workflows
• Use AI coding tools to move faster and write better code

🎯 Requirements

• Solid grasp of supervised/unsupervised ML: algorithms, eval
• Deep learning hands-on: CNNs, RNNs, Transformers; fine-tuning
• Domain depth: NLP, CV, Recommendation, or Time Series
• LLMs: Experience building apps with OpenAI, Anthropic, or HF
• RAG design: chunking, embeddings, retrieval, generation
• Vector DBs: OpenSearch, Pinecone, Chroma, FAISS

🎁 Benefits

• Competitive salary based on competencies
• Premium AI tooling: Claude Code, Cursor, Provectus toolkit
• Mentorship from Senior ML Engineers and Tech Leads
• Clear growth path: Mid-Level → Senior ML Engineer → Tech Lead
• Learning budget for courses, certifications, and conferences
• Remote-first culture; work across LATAM, NA, and Europe