Data Scientist

Principal Data Scientist (Hands on Java - ML Inference Platform buildout on GCP) - Fully Remote

The Company:

A globally established, leading cloud services provider is partnering with one of the truly iconic names in technology over the last 25 years to undertake an exciting program of data, machine learning and AI led initiatives.

The Role:

• Architect and optimize our existing data infrastructure to support cutting-edge machine learning and deep learning models.
• Collaborate closely with cross-functional teams to translate business objectives into robust engineering solutions.
• Own the end-to-end development and operation of high-performance, cost-effective inference systems for a diverse range of models, including state-of-the-art LLMs.
• Provide technical leadership and mentorship to foster a high-performing engineering team.

The Person:

Strong candidates are likely to possess:

• A proven track record in designing and implementing cost-effective and scalable ML inference systems.
• Hands-on experience with leading deep learning frameworks such as TensorFlow, Keras, or Spark MLlib.
• Solid foundation in machine learning algorithms, natural language processing, and statistical modeling.
• Strong grasp of algorithms, distributed systems, data structures, and database management.
• Proven experience in Apache Hadoop ecosystem (Oozie, Pig, Hive, Map Reduce).
• Expertise in public cloud services, particularly in GCP and Vertex AI.

This is a unique opportunity to combine your passion for data science with your Java development expertise to create a cutting-edge ML inference platform for a tech giant. You'll work alongside a talented team, leveraging the latest technologies to drive innovation and make a significant impact.