Senior Machine Learning Operations Engineer
Senior Machine Learning Operations Engineer
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Job Description
About the Role:
As a Machine Learning Operation Engineer you will work on deploying scaling and optimizing backend algorithms robust and scalable data ingestion pipelines machine learning services and data platforms to support analysis on vast amounts of text and analytics data. You will apply your technical knowledge and Big Data analytics on Onclusives billions of online content data points to solve challenging marketing problems. ML Ops Engineers are integral to the success of Onclusive.
Your responsibilities:
Design and build scalable machine learning services and data platforms.
Utilize benchmarks metrics and monitoring to measure and improve services.
Manage system currently processing data on the order of tens of millions of jobs per day.
Research design implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes.
Work with data scientists and machine learning engineers to implement ML AI and NLP techniques for article analysis and attribution.
Deploy manage and optimize inference services on autoscaling fleets with GPUs and specialized inference hardware.
Who you are:
A degree (BS MS or Ph.D.) in Computer Science or a related field accompanied by hands-on experience.
- Minimum 3 years experience of Kubernetes and/or Terraform
Proficiency in Python showcasing your understanding of Object-Oriented Programming (OOP) principles.
Solid knowledge of containerisation (Docker preferable)
Experience in Infrastructure as Code (IAC) for AWS with a preference for Terraform.
Knowledge of Version Control Systems (VCS) particularly Git and GitHub alongside familiarity with CI/CD preferably GitHub Actions.
Understanding of release management embracing rigorous testing validation and quality assurance protocols.
Good understanding of ML principles
Data Engineering experience (airflow dbt meltano) is highly desired.
Exposure to deep learning tech-stacks like Torch / Tensorflow and Transformers.
What we can offer:
We are a global fast growing company which offers a variety of opportunities for you to develop your skill set and exchange for your contribution we can offer you:
Competitive salary and benefits
Hybrid working in a team that is passionate about the work we deliver and supporting the development of those that we work with
A company focus on wellbeing and work life balance including initiatives such as flexible working and mental health support
We want the best talent available regardless of race religion gender gender reassignment sexual orientation marital status pregnancy disability or age.
Required Experience:
Senior IC
Employment Type
Full-Time
