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Nisum
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: NisumTiger 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, LLCSalesforce
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. CooperSynergisticIT
Dallas, TX, United States
About Us: Synergistic IT is a full-service staffing and placement firm servicing client in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We don't just help you secure a Tech Job, but we build your solid car
Job Source: SynergisticITCapgemini
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 of
Job Source: CapgeminiTiger Analytics
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 AnalyticsTiger 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
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 experience
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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