Senior Machine Learning Engineer Python
2 weeks ago
Do you want to join a team working at the cutting edge of engineering sustainability? Here at Monolith, we’re on a mission to empower engineers to use AI to solve the most intractable physics problems like developing next-gen EV batteries that charge faster and last longer. To continue in our growth, we are recruiting a Senior Machine Learning Engineer.
As a Senior Machine Learning Engineer at Monolith, you will sit within our Data Science team. Our Machine Learning stack runs on on-demand containerised infrastructure - ranging from sub-second latency functions, to longer-running batch compute and higher-demand dedicated instances.
We run on AWS and soon Azure, with plan to also add GCP and on-prem. AWS Athena SQL, Athena&EMR Spark, ECS Fargate; Azure Synapse / Data Lake Analytics, HDInsight, Data Lake Analytics. Our software stack is also: Python, Flask, Redis, Postgres, React, Plotly, Docker.
Lead the productionisation of our ML models and data processing pipelines, both mid-low level system design and exemplary hands-on implementations using Spark and other tech stacks
~ Shape the ML engineering culture and practices around model & data versioning, scalability, model benchmarking, ML-specific branching & release strategy.
~ Proactively identify blockers in other team members, help promptly and effectively to unblock them.
~ 7y+ of coding (last 3y+ as ML Engineer and 2y+ on Spark)
~ Worked on GB+ scale of data
~ Productionised on one cloud infrastructure (AWS, Azure, or GCP)
~ Distributed Machine Learning (Spark distributors, Horovod, native distributed on PyTorch or Tensorflow)
~ We have a culture of learning, we encourage new ideas, out of the box thinkers and risk takers. Competitive salary + monthly bonus
~30 days paid annual leave + bank holidays
~ Pension with NEST
~ Vitality health insurance
~ Wellness allowance through Heka
~ Monolith is proud to be an equal opportunity employer and we value diversity and inclusion. Monolith AI is proud to be an equal opportunity employer and we value diversity and inclusion.
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