remote
Sr. Machine Learning Engineer 4 - Adobe
ML Engineer
Senior Machine Learning Engineer responsible for designing, building, and deploying production‑grade ML and Generative AI solutions, creating data pipelines, and driving customer‑facing features using Python, deep learning frameworks, and cloud services.
About the role
Key Responsibilities
- Design and implement end‑to‑end machine learning systems, from data ingestion to model serving.
- Develop and fine‑tune large language models and generative AI solutions using prompt engineering techniques.
- Build robust, scalable data pipelines and feature stores to support training and inference workloads.
- Evaluate model performance, conduct experiments, and iterate on prototypes to meet product requirements.
- Collaborate with software engineers, product managers, and UX teams to ship customer‑facing ML features.
- Deploy and monitor models in production environments on AWS, ensuring reliability and cost efficiency.
Requirements
- 5+ years of experience in machine learning, with strong expertise in both classical algorithms and deep learning frameworks such as TensorFlow or PyTorch.
- Proficiency in Python and experience building production‑ready ML pipelines and APIs.
- Hands‑on experience with cloud platforms (AWS) and containerization/orchestration tools for model deployment.
- Demonstrated ability to apply prompt engineering and generative AI techniques to real‑world problems.
- Strong analytical mindset, excellent communication skills, and a track record of delivering high‑impact, customer‑focused solutions.
Skills
pythontensorflowpytorchmachine learningdeep learningaws