onsite
Machine Learning Engineer - 3ap
ML Engineer
Machine Learning Engineer responsible for designing, training, and deploying scalable ML models using Python, TensorFlow/PyTorch, and cloud services like AWS, while collaborating with data teams to transform raw data into actionable insights.
About the role
Key Responsibilities
- Design, develop, and optimize machine learning models for production using Python, TensorFlow, and PyTorch.
- Collaborate with data engineers to ingest, clean, and transform large datasets for model training.
- Implement MLOps pipelines for continuous integration, deployment, and monitoring of models on cloud platforms (AWS).
- Conduct experiments, hyperparameter tuning, and performance evaluation to improve model accuracy and efficiency.
- Document model architecture, training procedures, and deployment steps for reproducibility.
Requirements
- Strong programming skills in Python and experience with TensorFlow or PyTorch.
- Hands‑on experience with data engineering tools and large‑scale data pipelines.
- Proficiency in cloud services (AWS) and containerization (Docker, Kubernetes).
- Knowledge of MLOps practices, model versioning, and monitoring.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced environment.
Skills
machine learningpythontensorflowpytorchawsmlops