Senior Software Engineer ML Focus
Senior Software Engineer ML Focus
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1 Vacancy
Job Description
SR Software Engineer w Machine Learning Background
6 Months
MUST HAVES:
Experience working collaboratively with data science teams understanding their needs and challenges.
Ability to lead initiatives and communicate effectively with technical teams and senior leadership.
Proven ability to understand company business problems and identify probable technical solutions to those problems.
Familiarity with a range of ML tools and frameworks and openness to adapting to emerging technologies. (ML Ops skills in the cloud)
- The manager does NOT want to see anyone who is in Data Science. They are needing to have the right engineering skills Google Cloud experience.
- There are strong opinions on this team so he is needing someone with great communication skills someone who is expected to lead
- Someone with retail experience would be great. Titles you might see would be Machine Learning Engineer someone who is responsible for the entire ML workflow
Required Skills : Diverse ML Platform Expertise: * Maintain expertise in a range of ML technologies and platforms with a preference for Google Vertex AI but open to other systems as needed * Leverage support for opensource frameworks like TensorFlow PyTorch scikitlearn and integrate them with ML frameworks via custom containers * Stay updated with the latest trends in MLOps and ML technologies Recommender System Design and Development: * Handson experience working on recommender systems drawing from ML techniques such as embedding based retrieval reinforcement learning transformers and LLMs * Software engineering skills to work with teams integrating the recommender systems into customer facing products * Experience in AB testing and iterative optimization using data driven approaches * Understanding of infrastructure needs required to deploy ML systems (CPU/GPU networking infrastructure)
Employment Type
Full Time
