remote
Remote AI Engineer - Teamficient
AI Engineer
Remote AI Engineer responsible for designing, developing, and deploying machine‑learning models and AI solutions using Python, TensorFlow/PyTorch, and cloud services such as AWS, while collaborating with a globally distributed team.
About the role
Key Responsibilities
- Design, implement, and optimize machine‑learning and deep‑learning models for production workloads.
- Develop end‑to‑end AI pipelines, including data preprocessing, model training, evaluation, and deployment.
- Integrate AI solutions with cloud infrastructure (AWS) and container orchestration tools.
- Collaborate with cross‑functional teams across multiple time zones to define requirements and deliver scalable AI services.
- Monitor model performance in production, troubleshoot issues, and iterate improvements.
Requirements
- Strong proficiency in Python and experience with ML/DL frameworks such as TensorFlow or PyTorch.
- Solid understanding of machine‑learning algorithms, model evaluation, and data engineering concepts.
- Hands‑on experience deploying models on AWS (e.g., SageMaker, EC2, Lambda) and using container technologies.
- Ability to work independently in a fully remote environment and communicate effectively with distributed teams.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Skills
pythonmachine learningdeep learningtensorflowpytorchaws