onsite
AI/ML Engineer II - Reflexive Concepts
ML Engineer
Mid‑level AI/ML Engineer responsible for designing, building, testing, and productizing machine‑learning models, creating data pipelines, and deploying solutions on cloud infrastructure for mission‑critical applications.
About the role
Key Responsibilities
- Design and implement scalable machine‑learning models and algorithms aligned with mission objectives.
- Develop and maintain end‑to‑end data pipelines, including data ingestion, preprocessing, and feature engineering.
- Containerize and deploy models using Docker and Kubernetes on AWS cloud services.
- Collaborate with software and data engineering teams to integrate AI/ML components into production applications.
- Monitor model performance, establish metrics, and iterate to improve accuracy and efficiency.
Requirements
- Bachelor’s or higher in Computer Science, Electrical Engineering, or related field with 2–4 years of hands‑on AI/ML experience.
- Proficiency in Python and deep‑learning frameworks such as TensorFlow or PyTorch.
- Experience building data pipelines and working with SQL/NoSQL databases.
- Strong knowledge of cloud platforms (AWS) and container orchestration (Docker, Kubernetes).
- Ability to translate research concepts into production‑ready code and troubleshoot performance issues.
Skills
pythontensorflowpytorchawsdockerkubernetessql