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

• Strong programming skills in Python and proficiency in Git/GitHub
• Experience with version control and continuous integration/continuous deployment (CI/CD) pipelines
• Knowledge of machine learning platforms and libraries such as TensorFlow, PyTorch, scikit-learn
• Experience in designing and deploying machine learning models in a production environment
• Familiarity with cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker, Kubernetes)
• Understanding of DevOps practices and familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible)
• Strong problem-solving and troubleshooting skills
• Bachelor's degree or higher in Computer Science, Data Science, or a related field
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams