remote
Senior AI/ML Engineer - Spark Eighteen
ML Engineer
Lead the design and deployment of advanced AI/ML solutions, focusing on generative models and scalable cloud infrastructure, while mentoring a team of engineers in a fully remote environment.
About the role
Key Responsibilities
- Architect, develop, and optimize end‑to‑end machine‑learning pipelines for generative AI applications.
- Design and implement scalable models using frameworks such as TensorFlow and PyTorch, ensuring production‑grade performance.
- Deploy and monitor AI services on cloud platforms (e.g., AWS), leveraging containers and CI/CD best practices.
- Collaborate with product and data teams to translate business problems into robust AI solutions.
- Mentor junior engineers, conduct code reviews, and promote best practices in model development and reproducibility.
Requirements
- 3–5 years of professional experience building and deploying machine‑learning models, preferably with generative AI.
- Strong proficiency in Python and deep‑learning libraries such as TensorFlow or PyTorch.
- Hands‑on experience with cloud services (AWS) and containerization tools (Docker, Kubernetes).
- Solid understanding of data preprocessing, model evaluation, and performance tuning.
- Excellent problem‑solving skills and ability to work independently in a remote, collaborative setting.
Skills
pythontensorflowpytorchgenerative aimachine learningaws