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Machine Learning Engineer - FALKEN Group
ML Engineer
Develop and deploy production‑ready machine learning models using Python and TensorFlow on AWS, ensuring scalability, reliability, and performance through containerization and robust data pipelines.
About the role
Key Responsibilities
- Design, implement, and maintain end‑to‑end machine learning pipelines from data ingestion to model deployment.
- Collaborate with data scientists to translate research prototypes into scalable, production‑grade solutions.
- Utilize AWS services (SageMaker, Lambda, ECS) and Docker to orchestrate model serving and monitoring.
- Optimize model performance and resource usage through hyperparameter tuning, model compression, and efficient data handling.
- Implement CI/CD workflows for model versioning, testing, and automated deployment.
Requirements
- Strong programming skills in Python and experience with TensorFlow or PyTorch.
- Hands‑on experience deploying ML models on AWS and managing containerized workloads.
- Proficiency in SQL and data manipulation for feature engineering.
- Solid understanding of software engineering best practices, including version control, testing, and documentation.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced environment.
Skills
pythonmachine learningtensorflowawsdockersql