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Diverse Lynx
Plano, TX, United States
Job Profile : Machine Learning Engineer Job Location : Pleasanton California/ Plano , Tx Job Description: 5+ years proven experience as a Machine Learning Engineer Strong Experience in Client Platform, Spark, Python, SQL Experience with programming languages like Python, Java Strong understanding of data structures and algorithms and understandin
Job Source: Diverse LynxRecruiting from Scratch LLC
Dallas, TX, United States
Who is Recruiting from Scratch : Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia
Job Source: Recruiting from Scratch LLCAscendion
Irving, TX, United States
About Ascendion Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise
Job Source: AscendionConfiz
Dallas, TX, United States
Bachelor's degree in a technical field with relevant machine learning experience Demonstrated experience in developing and deploying machine learning models Responsibilities The ideal candidate will combine machine learning expertise with software engineering skills to build robust, scalable predictive models Design, build, and deploy machine lear
Job Source: ConfizAscendion
Dallas, TX, United States
About Ascendion Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise
Job Source: AscendionTrident Consulting
Dallas, TX, United States
Trident Consulting is seeking a "Machine Learning Engineer" for one of our client. A global leader in business and technology services. Job Title: Machine Learning Engineer (Remote) Job Type: Contract Responsibilities: Design machine learning systems Research and implement appropriate Client algorithms and tools Develop machine learning appli
Job Source: Trident ConsultingTiger Analytics, LLC
Dallas, TX, United States
Tiger Analytics is looking for experienced Machine Learning Engineers to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business val
Job Source: Tiger Analytics, LLCTiger Analytics
Dallas
Job Description Job Description Tiger Analytics is looking for experienced Machine Learning Engineers to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business
Job Source: Tiger AnalyticsDallas, TX, United States
Nisum is a leading global digital commerce firm headquartered in California, with services spanning digital strategy and transformation, insights and analytics, blockchain, business agility, and custom software development. Founded in 2000 with the customer-centric motto "Building Success Together®," Nisum has grown to over 1,800 professionals across the United States, Chile,Colombia, India, Pakistan and Canada. A preferred advisor to leading Fortune 500 brands, Nisum enables clients to achieve direct business growth by building the advanced technology they need to reach end customers in today's world, with immersive and seamless experiences across digital and physical channels.
What You'll Do
Collaborate with data scientists and engineers to design, build, and maintain Azure-based MLOps pipelines for automating machine learning model deployment, monitoring, and maintenance.
Configure and manage Azure cloud resources to support machine learning workloads efficiently.
Collaborate with Azure administrators to ensure scalable and reliable infrastructure for MLOps.
Implement Azure-based deployment pipelines for deploying machine learning models into production environments.
Implement test automation script to monitor & validate the deployment process.
Work alongside data engineers to develop and maintain data pipelines on Azure, ensuring proper data governance and integration with MLOps pipelines.
Implement best practices for data versioning, lineage tracking, and other data management.
Implement test automation script to monitor & validate the deployment process.
Ensure that MLOps processes on Azure adhere to security and regulatory standards.
Monitor and troubleshoot application and infrastructure issues and implement solutions in a timely manner.
Collaborate with development and BI teams to ensure code quality and application performance.
Stay updated on the latest Azure MLOps tools and services and integrate improvements into existing processes.
What You Know Should have a minimum of 8+ years of experience.
Experience in implementing MLOps processes and solutions within the Azure ecosystem.
Proficiency in Azure cloud services, including AzureML, Azure DevOps, Azure Kubernetes Service (AKS), Azure Databricks, and other relevant Azure services.
Strong knowledge of machine learning frameworks and tools compatible with Azure and scikit-learn.
Familiarity with Azure Resource Manager templates and Infrastructure as Code (IaC).
Experience with version control systems, particularly Git, and CI/CD pipelines using Azure DevOps.
Should have implemented test automation scripts to validate the deployment process.
Scripting and coding skills, with proficiency in languages such as Python, PySpark, PowerShell, or Azure CLI.
Understanding of security and compliance standards within the Azure ecosystem.
Should have experience in executing Azure MLOps project
Problem-solving and troubleshooting abilities.
Should have cross-global location experience and be able to handle a team in an onshore-offshore model
Having ML-related certifications can be a plus, such as Microsoft Certified: Azure AI Engineer Associate or Databricks ML Engineer
Education Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Benefits In addition to competitive salaries and benefits packages, Nisum US offers its employees some unique and fun extras:
Professional Development - We offer in-house technical training and professional learning programs aimed at developing skills across a broad spectrum of topics such as technology, leadership, role-based training, and process expertise. We also offer an annual stipend for employees to attend external courses in order to maintain professional certifications
Health & Wellness Benefits - We believe that your health and welfare are important, and we strive to ensure that you have affordable options available to you, including some plans that are subsidized for employees and their families up to 90%. We also have dental and vision plans in the US where Nisum pays 100% of premiums for employees
Volunteerism Pay - We believe in giving back and in the US, our employees are eligible for up to 40 hours of paid time off each year to volunteer towards the causes that they are most passionate about. This is in addition to personal PTO and paid holidays
Additional Benefits - We offer all the other important benefits to keep employees and their families healthy and financially secure, such as 401(k) retirement savings with a company match, pre-tax parking and transit programs, disability insurance, and Basic Life/AD&D, alongside exclusive employee discounts on a wide variety of products and services
Compensation Band $135-140k per year
Nisum is an Equal Opportunity Employer and we are proud of our ongoing efforts to foster diversity and inclusion in the workplace.
Machine Learning Engineer jobs in Dallas, TX, United States
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