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Ascentt is a highly specialized solution provider focusing on AI/ML, Data Science, Advanced Analytics, and Big Data solutions. With 14 years of industry experience, we help enterprise clients unlock the value from their vast data sets. Our service offerings include applications development and managed services across various platforms such as Azure ML, Amazon SageMaker, TensorFlow, Python, R, Microsoft, Oracle, Tableau, Snowflake, BigQuery, Quicksight, Lookr, Informatica, Alteryx, Talend, Wherescape, Cloudera, Hadoop, and cloud platforms like Azure, AWS, GCP, and Oracle Cloud.
Our consulting team combines product experts and execution experts from top consulting environments to deliver unparalleled value to our customers. Role Description This is a full-time role for an MLops Engineer at Ascentt located in Plano, TX. As an MLops Engineer, you will be responsible for performing day-to-day tasks related to machine learning operations, ensuring the seamless integration and deployment of machine learning models. This role requires expertise in managing and monitoring machine learning workflows, pipeline automation, version control, model serving, and infrastructure management. The MLops Engineer will work cross-functionally with data scientists, software engineers, and DevOps teams to optimize the machine learning lifecycle. Qualifications Experience in MLops, data engineering, or software engineering roles is a plus.
Full Time
IT Outsourcing & Consulting
$110k-139k (estimate)
07/24/2024
09/15/2024
ascentt.com
FREMONT, CA
25 - 50
2007
NILESH VYAS
<$5M
IT Outsourcing & Consulting
The job skills required for MLops Engineer include DevOps, AWS, Python, Kubernetes, Docker, Continuous Integration, etc. Having related job skills and expertise will give you an advantage when applying to be a MLops Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by MLops Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for MLops Engineer positions, which can be used as a reference in future career path planning. As a MLops Engineer, it can be promoted into senior positions as a DevOps Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary MLops Engineer. You can explore the career advancement for a MLops Engineer below and select your interested title to get hiring information.