This job board retrieves part of its jobs from: Toronto Jobs | Emplois Montréal | IT Jobs Canada

Find jobs in Texas today!

To post a job, login or create an account |  Post a Job

  Jobs in Texas  

Bringing the best, highest paying job offers near you

previous arrow
next arrow
Slider

Machine Learning Engineer

Apex Systems

This is a Full-time position in Plano, TX posted August 8, 2021.

ROLE SUMMARY for the Sr. Machine Learning Engineer We’re looking for a Sr Machine Learning Engineer capable of using machine learning and statistical techniques to create state-of-the-art solutions for non-trivial, and arguably, unsolved problems. The Machine Learning Engineer will prototype, design, and implement predictive models and algorithms. They will lead the full life cycle including data cleansing, feature creation, and iterative model selection. They will write maintainable and extensible tested code that adheres to standards, produce specifications, and determine operation feasibility, and troubleshoot, debut, and upgrade existing systems. Responsibilities Use statistical and machine learning techniques to create scalable solutions for vehicle telemetry data and video analysis, and perform RD to drive discovery of new generation mobility products Establish scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation Drive adoption of best practices across organizations Deliver production-ready code Work with Product Owners to define the KPIs for machine learning projects Stay abreast of developments in research methodology and changing technologies in the marketplace and proactively identify applications of these latest developments to improve existing methods Prepare and present findings to both technical and non-technical audiences Work within the constraints of time, budget, and resources capacities to align with client’s global vision Develop and foster collaborative relationships with product, business, and engineering teams to effectively serve our customer needs Qualifications 5+ years of production experience working in Data Science or Software Engineering 3+ years of production experience in Machine Learning, Computer Vision, Signal Processing, andor Natural Language Processing (NLP) Solid production experience using Python (including NumPy) and SQL Solid production experience using TensorFlow andor PyTorch Production experience with Apache Spark Strong fundamentals in problem solving, algorithm design and complexity analysis Experience implementing and orchestrating Machine Learning pipelines in production environments, using tools such as Kubeflow, airflow, Pachyderm, mlflow, etc. Hands-on experience with web APIs, containers, Kubernetes, CICD and testing Experience from working in Agile Scrum environments Experience implementing solutions in a cloud environment (AWS, Azure, or Google Cloud) Experience using Infrastructure-as-code for cloud infrastructure automation Experience working with data science in automotive telematics data and video is a plus Experience in edge computing is a plus EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or

Please add your adsense or publicity code here (inc/structure/adsfooter.php)