onsite
AI Engineer - MeritFirst
AI Engineer
AI Engineer focused on deploying production‑ready machine learning models into real business environments using Python, deep learning frameworks, and cloud services such as AWS.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine learning pipelines that solve real business problems.
- Collaborate with cross‑functional teams to translate business requirements into scalable AI solutions.
- Implement model training, validation, and monitoring using PyTorch or TensorFlow on cloud infrastructure.
- Optimize models for performance, latency, and cost on AWS services (SageMaker, ECS, Lambda).
- Maintain data pipelines, feature stores, and model versioning to ensure reproducibility.
Requirements
- Strong programming skills in Python with experience in data science libraries (NumPy, pandas, scikit‑learn).
- Hands‑on experience building and deploying deep learning models with PyTorch or TensorFlow.
- Proficiency with AWS services for model hosting, data storage, and compute.
- Solid understanding of data engineering concepts and experience with ETL pipelines.
- Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.
Skills
pythonmachine learningdeep learningpytorchtensorflowaws