onsite
AI/ML Engineer - VXForward
ML Engineer
Lead end‑to‑end AI/ML development, building scalable models on AWS, leveraging TensorFlow and PyTorch to deliver data‑driven solutions that drive business value.
About the role
Key Responsibilities
- Design, develop, and deploy production‑grade machine learning models using Python, TensorFlow, and PyTorch.
- Collaborate with data engineers to build robust data pipelines and feature stores on AWS.
- Optimize model performance and scalability through hyperparameter tuning, distributed training, and model compression.
- Integrate ML solutions into existing applications and monitor model drift in production.
- Document best practices, model artifacts, and maintain reproducible experiments.
Requirements
- 3+ years of experience in AI/ML engineering with a strong portfolio of deployed models.
- Proficiency in Python, TensorFlow, and PyTorch.
- Hands‑on experience with AWS services (SageMaker, EC2, S3, Lambda).
- Solid understanding of data engineering concepts and SQL.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythonmachine learningawstensorflowpytorch