Machine Learning Operations Engineer
- Software and Hardware
- 2 to 6 Yrs
- Maharashtra
- 4 days ago
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Job Description
- 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. Your responsibilities will include 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, and collaborating with data scientists and machine learning engineers to implement ML, AI, and NLP techniques for article analysis and attribution. You will also be responsible for 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, along with hands-on experience. A minimum of 2 years of experience in Kubernetes and/or Terraform is required. Proficiency in Python with a solid understanding of Object-Oriented Programming (OOP) principles is essential. You should also have 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) is highly desired. Exposure to deep learning tech-stacks like Torch/Tensorflow and Transformers will be beneficial. At Onclusive, we offer a competitive salary and benefits along with opportunities for skill development and career growth. We support a hybrid working environment and prioritize employee wellbeing and work-life balance with initiatives such as flexible working arrangements and mental health support. Join our passionate team dedicated to delivering exceptional work and supporting each other's development.,
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Machine Learning Operations EngineerContact Details:
Company: DigimindLocation(s): Maharashtra
Keyskills: Machine Learning Big Data analytics Kubernetes Python Docker AWS Git GitHub Data Engineering Deep Learning Transformers Tensorflow
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Software and Hardware
An American software, hardware, and services technology company. It also does hardware development of global navigation satellite system (GNSS) receivers, scanners, total stations, laser rangefinders, unmanned aerial vehicles (UAVs), inertial navigation systems and software processing tools.
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