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Ampcus
Dallas, TX, United States
Role: Machine Learning Engineer Work location: DALLAS, TX JOB DESCRIPTION: Job Summary. • Designing and implementing Client infrastructure and tools that support the end-to-end Client development lifecycle. • Developing and maintaining CI/CD pipelines for Client models and data. • Collaborating with data scientists and engineers to understand thei
Job Source: AmpcusETHEREUM TECHNOLOGIES LLC
Irving, TX, United States
W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters Job Overview Job ID: J38532 Specialized Area: Machine learning Job Title: Machine Learning Eng
Job Source: ETHEREUM TECHNOLOGIES LLCJupiter Power
Dallas, TX, United States
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 value from data. Our
Job Source: Jupiter PowerTiger Analytics
Dallas, TX, United States
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 AnalyticsJobRialto
Dallas, TX, United States
Hands on Expert in Sagemaker & Sagemaker pipeline Excellent knowledge on MLflow for Data science code versioning tracking for model repository and integration knowledge with Sagemaker Hands on experience in DexSecops Pipeline (Jenkins, Bitbucket, Nexus) Good knowledge of S3S Should be Python development expert. Good knowledge of EMR serverles
Job Source: JobRialtoTiger 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 AnalyticsDiverse 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 LynxNisum
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 acro
Job Source: NisumDallas, TX, United States
Please send me your details (resume, work authorization status, current location, availability and compensation expectations) directly to: [email protected] for an immediate consideration. Make sure to include both the job title and location of the job if you email me directly.
Machine Learning Engineer :
- The hiring manager is NOT looking for a Data Scientist !
- ML Engineer will join Data Science Innovation (DSI) team and work on developing and implementing universal forecasting models, focusing on ML forecasting techniques using Python and Hadoop.
- DSI application is a unique, ML-driven platform that incorporates over 100 financial metrics to create a Universal Forecasting Model. The application features a Marketplace concept UI with Subscriber/Contributor functionality for enhanced personalization and extensibility across the enterprise.
- Collaborate with Data Scientists in an Agile SDLC environment to bring ML models into production
- The ideal candidate ( MLOps ) will have a strong background in developing and implementing ML models in a production environment. They should be comfortable working with DevOps tools and be able to effectively test ML models to determine the success of their output.
Qualifications - every bullet point below is a MUST HAVE :
- Experience as an ML engineer working on universal forecasting models : ARIMA (AutoRegressive Integrated Moving Average), Seasonal Naive, FB Prophet ( Facebook Prophet ) open-source library for forecasting time series data
- Gluon open-source deep learning library ( might consider some alternatives like Apache MXNet, or experience with PyTorch - TensorFlow - CNTK - Theano - Keras - Caffe2 )
- Hadoop ( HDFS, MapReduce )
- Python
- Other skills : Linux, OpenShift (Kubernetes container platform) and databases like Oracle, MS SQL Server, MongoDB
Please send me your details (resume, work authorization status, current location, availability and compensation expectations) directly to: [email protected] for an immediate consideration. Make sure to include both the job title and location of the job if you email me directly.
PNC Beeline VMS# 134285-1
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Machine Learning Engineer jobs in Dallas, TX, United States
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