Senior ML Engineer (GenAI, AWS)

📋 Description

• Design and deploy end-to-end ML solutions from experimentation to production
• Build scalable ML pipelines and infrastructure
• Optimize model performance, efficiency, and reliability
• Write clean, maintainable production-grade code
• Conduct rigorous experimentation and model evaluation
• Troubleshoot and resolve complex technical challenges

🎯 Requirements

• ML Core fundamentals: supervised, unsupervised, and reinforcement learning
• Model development: feature engineering, training, eval, tuning
• ML frameworks: TensorFlow, PyTorch
• LLMs and GenAI: prod LLM apps, prompts, RAG, vector DBs
• Data and programming: Python, Pandas, NumPy, SQL, Spark
• MLOps and Production: deployment, Docker, CI/CD, monitoring

🎁 Benefits

• Long-term B2B collaboration
• Fully remote setup
• Medical insurance budget
• Paid leave and holidays
• Learning support including AWS certification sponsorship