Machine Learning Operations Engineer

As a Machine Learning Operation Engineer at Onclusive, your primary focus will be on deploying, scaling, and optimizing backend algorithms, data ingestion pipelines, machine learning services, and data platforms. You will be working with vast amounts of text and analytics data to solve challenging marketing problems using your technical knowledge and Big Data analytics skills. Your role is crucial to the success of Onclusive. - Designing and building scalable machine learning services and data platforms - Utilizing benchmarks and metrics to measure and improve services - Managing systems processing tens of millions of jobs per day - Researching and implementing cutting-edge algorithms - Collaborating with data scientists and machine learning engineers to implement ML, AI, and NLP techniques for article analysis and attribution - Deploying, managing, and optimizing inference services on autoscaling fleets with GPUs and specialized inference hardware To excel in this role, you should have: - A degree in Computer Science or a related field - A minimum of 2 years of experience in Kubernetes and/or Terraform - Proficiency in Python with a solid understanding of Object-Oriented Programming (OOP) principles - Knowledge of containerization (preferably Docker), Infrastructure as Code (IAC) for AWS (preferably Terraform), Version Control Systems (particularly Git and GitHub), and CI/CD practices (preferably GitHub Actions) - An understanding of release management, ML principles, and Data Engineering experience (e.g., airflow, dbt, meltano) - Exposure to deep learning tech-stacks like Torch/Tensorflow and Transformers will be beneficial Onclusive offers a competitive salary and benefits along with opportunities for skill development and career growth. They support a hybrid working environment and prioritize employee well-being and work-life balance with initiatives such as flexible working arrangements and mental health support. Join their passionate team dedicated to delivering exceptional work and supporting each other's development.,