Senior ML Engineer (GenAI, AWS)

📋 Description

• Design end-to-end ML solutions from experiments to production.
• Build scalable ML pipelines and infrastructure.
• Optimize model performance and reliability.
• Write clean, production-quality code.
• Conduct rigorous experimentation and model evaluation.
• Troubleshoot complex technical challenges.

🎯 Requirements

• ML fundamentals: supervised, unsupervised, reinforcement learning
• Model development: feature engineering, training, evaluation, tuning, validation
• ML frameworks: TensorFlow, PyTorch, and libraries
• Deep learning: CNNs, RNNs, Transformers
• LLM applications: production LLM-based apps and prompt design
• Data & programming: Python, pandas, SQL, data pipelines, Spark

🎁 Benefits

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