Note: The job is a remote job and is open to candidates in USA. Forsyth Barnes is partnering with a leading organisation seeking a Senior Data Scientist focused on pricing and ML engineering. The role involves designing, building, and deploying scalable machine learning solutions, developing data pipelines and models, and operationalising them in production using Google Cloud Platform and modern MLOps practices.
Responsibilities
- Design, build and deploy end-to-end machine learning models and data pipelines
- Develop scalable ML solutions using Python, SQL and TensorFlow
- Build and optimise solutions within Google Cloud Platform (GCP), particularly BigQuery
- Productionise and operationalise ML models using modern MLOps practices and tooling
- Work with technologies such as Vertex AI, Kubeflow, Kubernetes and Docker
- Support the development of Generative AI and LLM-based solutions
- Collaborate with technical and business stakeholders to deliver production ML solutions that solve real-world business problems
Skills
- Strong commercial experience as a Senior Data Scientist
- Strong hands-on Google Cloud Platform (GCP) experience
- Strong Python, SQL, TensorFlow and BigQuery expertise
- Proven experience taking machine learning models from development through to production
- Experience designing and building scalable data/ML pipelines
- MLOps experience with Kubeflow, Kubernetes, Docker and/or Vertex AI
- Experience with Generative AI, LLMs, ChatGPT and/or OpenAI APIs
- Retail or e-commerce experience is highly desirable
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