onsite
Senior Machine Learning Engineer - SSI People
ML Engineer
Senior Machine Learning Engineer with 9+ years experience designing, building, and deploying enterprise‑scale generative AI solutions using Python, deep‑learning frameworks, and cloud infrastructure.
About the role
Key Responsibilities
- Design and implement generative AI models (LLMs, diffusion, diffusion‑to‑text, etc.) for enterprise applications.
- Collaborate with data scientists and software engineers to integrate ML pipelines into production systems.
- Develop, containerize, and orchestrate model serving solutions on AWS using Docker and Kubernetes.
- Optimize model performance, scalability, and cost through profiling, quantization, and distributed training.
- Maintain CI/CD pipelines, monitoring, and automated testing for ML workflows.
Requirements
- 9+ years of professional experience in machine learning, with a focus on generative AI.
- Strong proficiency in Python and deep‑learning libraries such as TensorFlow or PyTorch.
- Hands‑on experience deploying models on AWS (SageMaker, EC2, Lambda) and managing containers with Docker/Kubernetes.
- Proven ability to translate research prototypes into production‑ready services.
- Excellent problem‑solving skills and ability to work autonomously in a fast‑paced, collaborative environment.
Skills
pythontensorflowpytorchgenerative aiawsdockerkubernetes