Verified Job
IT / Software / Data Analyst
Onclusive - Machine Learning Operations Engineer
IT / Software / Data Analyst
#596018
Remote / WFH
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 you are :
• A degree (BS, MS, or Ph.D.) in Computer Science or a related field, accompanied by hands-on experience.
• Proficiency in Python, showcasing your understanding of Object-Oriented Programming (OOP) principles.
• Solid knowledge of containerisation (Docker preferable).
• Experience working with Kubernetes.
• 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 we can offer :
We are a global fast growing company which offers a variety of opportunities for you to develop your skill set and career.
In 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, ****** orientation, marital status, pregnancy, disability or age.
(ref:hirist.tech)
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 you are :
• A degree (BS, MS, or Ph.D.) in Computer Science or a related field, accompanied by hands-on experience.
• Proficiency in Python, showcasing your understanding of Object-Oriented Programming (OOP) principles.
• Solid knowledge of containerisation (Docker preferable).
• Experience working with Kubernetes.
• 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 we can offer :
We are a global fast growing company which offers a variety of opportunities for you to develop your skill set and career.
In 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, ****** orientation, marital status, pregnancy, disability or age.
(ref:hirist.tech)
