onsite
Machine Learning Engineer - Elevate
ML Engineer
Lead end‑to‑end ML projects, building scalable models on AWS, optimizing data pipelines, and deploying solutions with TensorFlow/PyTorch. Drive performance improvements and data‑driven insights for high‑impact clients.
About the role
Key Responsibilities
- Design, develop, and deploy production‑grade machine learning models using Python, TensorFlow, and PyTorch on AWS infrastructure.
- Collaborate with data engineers to build robust data pipelines, ensuring data quality and scalability.
- Perform feature engineering, model training, hyperparameter tuning, and performance evaluation.
- Integrate models into client applications, providing monitoring, logging, and automated retraining workflows.
- Communicate findings and recommendations to technical and non‑technical stakeholders.
Requirements
- 3+ years of experience in machine learning engineering or data science roles.
- Strong proficiency in Python, SQL, and experience with AWS services (SageMaker, EC2, S3).
- Hands‑on experience with TensorFlow or PyTorch and model deployment best practices.
- Solid understanding of data engineering concepts and experience with ETL pipelines.
- Excellent problem‑solving skills and ability to translate business problems into technical solutions.
Skills
pythonmachine learningawstensorflowpytorchsql