Senior ML Engineer (GenAI, AWS)

📋 Description

• Design and implement 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-quality code
• Conduct rigorous experimentation and model evaluation
• Troubleshoot and resolve complex technical challenges

🎯 Requirements

• ML Fundamentals: supervised, unsupervised, and reinforcement learning
• Model Development: feature engineering, training, evaluation, tuning, and validation
• ML Frameworks: TensorFlow, PyTorch, or similar
• LLM Applications: Experience building production LLM-based applications
• Python, Data Manipulation: pandas, numpy, and SQL
• Data Pipelines: ETL/ELT pipelines; Spark or similar

🎁 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