Senior ML Engineer (GenAI, AWS)

📋 Description

• Design and implement end-to-end ML solutions from experiments to production
• Build scalable ML pipelines and infrastructure
• Optimize model performance, efficiency, and reliability
• Write clean, production-quality code
• Mentor junior/mid ML engineers and conduct code reviews
• Stay current with ML research and propose improvements

🎯 Requirements

• ML Fundamentals: supervised, unsupervised, and reinforcement
• Model Development: feature engineering, training, eval, tuning
• DL Frameworks: TensorFlow, PyTorch, or similar
• LLMs & Generative AI: production LLM apps, prompts, RAG, embeddings
• Data & Programming: Python, pandas, SQL, data pipelines, Spark
• MLOps/Cloud: deployment, Docker, CI/CD, monitoring

🎁 Benefits

• Long-term B2B collaboration
• Fully remote setup
• A budget for your medical insurance
• Paid sick leave, vacation, public holidays
• Continuous learning support, including unlimited AWS certification sponsorship