| Sr. Principal Machine Learning Engineer - Frisco, TX at Frisco, Texas, USA |
| Email: [email protected] |
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Greetings from Shrive Technologies LLC!! Shrive Technologies LLC is an IT Development & IT Staffing firm with more than a decade of experience in providing IT Staffing Solutions & Services. Our expertise is in sourcing and deploying highly skilled IT Specialists into mainstream and niche technologies to meet clients Temporary, Permanent & SOW project needs. Role: Sr. Principal Machine Learning Engineer Location: Frisco, TX Duration: Long term Mandatory skills: MLOps frameworks , Automation (CI/CD) , Model deployment ( Kubeflow , MLFlow ) Job Description: Candidate will ideally have: - MS/PhD and minimum of 10 years of demonstrated success in deploying full-stack solutions that center around Machine Learning and Applied Science. - 5+ years of experience in deploying business solutions into production and managing the overall technical excellence of deployments. - Expertise in MLOps frameworks for example containerization (Docker and Kubernetes), Automation (CI/CD), and model deployment (Kubeflow, MLFlow). - Strong problem-solving skills and ability to formulate and solve complex data-related problems. - Expertise in API development. - Experience with Machine learning system design - Expertise in Cloud platforms, preferably Google Cloud - Experience in developing applications in high volume data staging/ETL environments - Background in software engineering development including collaboration (source control) and agile - Domain knowledge on marketing and/or Mix Market Models is a plus - Team-player and a Team-first mentality - Possess excellent oral and written communication skills - Highly detailoriented and organized - Possess strong business and financial acumen. Responsibilities: - Define and implement machine learning pipelines to support central data science products - Containerize models and deploy them efficiently in pipelines - Extract data from core systems to solve analytical problems; ensure development teams have the required data. - Process complex data sets efficiently, with the lowest compute cost - Develops tools to facilitate data integration, analytics, data cleaning / transformation, and the deployment of ML/AI models. - Work closely with database teams on topics related to data requirements, cleanliness, accuracy etc. - Interact with the business divisions to understand all requirements to develop business insights for CRM and translates them into data structures and data model requirements to IT. - Track analytics impact on business. -- Thanks & Regards, Naren Email: [email protected] -- To post to this group, send email to [email protected]. Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology microsoft Texas |
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| 09:53 PM 07-Dec-23 |