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Confiz
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 lea
Job Source: ConfizAlto Pharmacy
Dallas
Job Description Job Description Alto Pharmacy is a full-service, digitally-powered pharmacy that makes it simple to live your healthiest life by providing an easier, more supportive and more affordable pharmacy experience. We're redefining what a pharmacy can do, with fast and reliable prescription delivery, tools like treatment reminders and me
Job Source: Alto PharmacyDice
Dallas, TX, United States
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Enterprise Engineering, is seeking the following. Apply via Dice today! Machine Learning Engineer Dallas, Texas(Hybrid Role) Consulting. Apply only if you can work on W2 with us or if you have an independent corporation. Looking for 8+ years ex
Job Source: DiceTech MahindraAvance Consulting
Irving, TX, United States
ML Engineer Location :- Irving Texas (Day 1 onsite) FTE Roles Design and develop AI/ML applications to solve complex business problems. Collaborate with data scientists and subject matter experts to understand business requirements and translate them into AI/ML solutions. Implement and optimize AI/ML models and create pipelines using programming
Job Source: Tech MahindraAvance ConsultingCapgemini
Dallas, TX, United States
Job Title: Senior Machine Learning Engineer Job Location: Hybrid (preferred base cities - Atlanta, NYC, Dallas, Houston, Chicago, San Fran, and Seattle) Job Description: As a Senior Machine Learning Engineer, you will lead the development and implementation of sophisticated data engineering solutions to support the deployment and optimization
Job Source: CapgeminiSalesforce
Dallas, TX, United States
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Data, Software Engineering Job Details About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help c
Job Source: SalesforceMr. Cooper
Dallas, TX, United States
At Mr. Cooper Group, You Make the Dream Possible. Our purpose is simple: Keeping the dream of homeownership alive. As a Mr. Cooper Group team member, you play a big role in making that dream possible. Around here, we know our roles and work together, volunteer to make a difference, and challenge the status quo when needed. Everything we do is in th
Job Source: Mr. CooperNisum
Dallas, 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 acros
Job Source: NisumDallas, TX, United States
Dallas, Texas(Hybrid Role)
GC/USC Candidates And Who Can Travel To Dallas,Tx
6+ months
No Data Scientist – they don’t want that background
Looking for 8+ years experience
No Data Scientist – they don’t want that background
Hands-on with code, but able to mentor junior staff
Design, implement, and optimize machine learning algorithms and models.– Neural networks (Graph neural network), Deep learning & transformers (Temporal Fusion Transformer ), NLP, gradient boosting using open source machine learning frameworks – tensorflow, pytorch, XGBoost, LightbGM
Enable functionality to support analysis, model optimization, statistical testing, model versioning, deployment and monitoring of model and data.
Ability to translate functionality into scalable, tested, and configurable platform architecture and software.
Establish strong software engineering principles for development in Python on the Azure Kubernetes Platform.
Strong ownership of deliverables, with design decisions aligned to scale and industry best practices.
Collaborate with cross-functional teams to align ML initiatives with overall business goals.
Implement scalable and efficient machine learning systems. Collaborate with software engineers to integrate ML models into production systems.
Work closely with data engineers to ensure the availability and quality of data for training and evaluation of machine learning models.
Develop strategies for deploying machine learning models at scale. Ensure models are integrated into production systems with high reliability and performance.
Design and conduct experiments to evaluate the performance of machine learning models. Iterate on models based on feedback and evolving business requirements.
Python and SQL Hands-on Coding experience
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Email Alert for Machine Learning Engineer jobs in Dallas, TX, United States
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