Machine Learning Engineering Manager
5 days ago
Job Description
Reporting to the General Manager - Data Science, the Machine Learning Engineering Manager will be a key part of the Data Science Management Team, leading the productionising of advanced analytics and Machine Learning initiatives. In this exciting new role, you will be expected to collaborate with technical and data teams, building out platform capability and processes to serve our Data Science and analytics community.
Roles & Responsibilities
What will you do in the role?
With strong experience in managing technical teams and Machine Learning development lifecycles, you will be responsible for the day to day management of the Machine Learning Engineering team, ensuring they are delivering high quality solutions. You will also:
Coach and develop the MLE team to leverage cutting edge Data Science, Machine Learning & AI technology.
Maintain, evolve and develop our platforms to ensure that we have robust, scalable environments for the Data Scientists
Provide technical guidance, support and mentorship to team members, helping them grow in their roles.
Stay current with industry trends and advancements in AI and ML to support the company's data strategy.
Establish and enforce best practice for ML & AI model deployment and monitoring.
What are the key skills / experience you'll already have?
You will be highly numerate with a strong technical background with a proven ability to maintain hands on technical contribution whilst managing a team. You will have:
Experience of training, evaluating, deploying and maintaining Machine Learning models
Sound understanding of data warehousing and ETL tools
Strong technical skills in following key tools & technologies
Python and PySpark for data processing
Familiarity with Snowflake, RDBMS or other databases
Experience of working with Cloud infrastructure
Experience of building infrastructure as code using technologies such as Terraform
Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch
Strong drive to master new tools, platforms, and technologies.
Methodical approach with good attention to detail
Effective communication skills – Ability to work with international teams and across cultures.
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