Machine Learning Engineer
1 week ago
Position Summary:
MGMA is seeking a Machine Learning Engineer to enhance and expand its data ecosystem through intelligent automation and predictive modeling. This role will focus on improving existing Azure-based ML pipelines, developing new models, and supporting strategic data initiatives.
Key Responsibilities:
- Analyze, design, and deploy machine learning models to automate processes and generate insights
- Enhance existing Azure ML pipelines and build new models tied to calculated metrics
- Implement synonym and file mapping intelligence to improve data usability
- Collaborate with a team of Data Engineers and a Data Architect to support data wrangling, transformation, and automation efforts
- Work with tools such as T-SQL, Python, SSIS, Azure Data Factory, and Azure Synapse.
- Support ML Ops practices including model deployment, monitoring, and lifecycle management
- Contribute to future predictive analytics initiatives and insights generation
- Strong proficiency in Python and SQL; experience with relevant Python packages (e.g., TensorFlow, Sidekick)
- Hands-on experience with Azure Data Lake Gen2, Azure Data Factory, Azure Synapse, and Azure ML
- Familiarity with Medallion Architecture and Databricks (preferred)
- Experience in building and maintaining ML pipelines and automation workflows
- Ability to work independently and collaboratively within a cross-functional team
- Strong problem-solving skills and attention to detail
Preferred Qualifications:
- Experience with ML Ops tools and practices
- Background in healthcare data or analytics
- Familiarity with Blue Modis or similar platforms
Required Skills : Azure Machine Learning *** ADF or DataBricks *** SQL *** Python
Basic Qualification :
Additional Skills :
Background Check : Yes
Drug Screen : No
Notes :
Selling points for candidate :
Project Verification Info :
Exclusive to Apex :Yes
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set :Yes
Type of project :
Master Job Title :
Branch Code :
-
Software Engineer, Machine Learning
5 days ago
Denver, CO, United States META Full timeSummary: Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D...
-
Software Engineer, Machine Learning
2 weeks ago
Denver, CO, United States META Full timeSummary: Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D...
-
Entry-Level Machine Learning Engineer
1 week ago
Denver, CO, United States SynergisticIT Full timeSince 2010, SynergisticIT has helped more than 10,000 jobseekers get hired at hundreds of tech clients by providing the required tech stack, real-world project experience, and U.S.-based exposure. Role Description Junior Machine Learning Engineer will be responsible for assisting in the creation, deployment, and monitoring of scalable ML models in...
-
Entry-Level Machine Learning Engineer
2 weeks ago
Denver, CO, United States SynergisticIT Full timeSince 2010, SynergisticIT has helped more than 10,000 jobseekers get hired at hundreds of tech clients by providing the required tech stack, real-world project experience, and U.S.-based exposure. Role Description Junior Machine Learning Engineer will be responsible for assisting in the creation, deployment, and monitoring of scalable ML models in...
-
Entry-Level Machine Learning Engineer
7 days ago
Denver, CO, United States SynergisticIT Full timeSince 2010, SynergisticIT has helped more than 10,000 jobseekers get hired at hundreds of tech clients by providing the required tech stack, real-world project experience, and U.S.-based exposure. Role Description Junior Machine Learning Engineer will be responsible for assisting in the creation, deployment, and monitoring of scalable ML models in...
-
Applied Machine Learning Engineer
7 days ago
Denver, CO, United States DigitalOcean Full timeDive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here....
-
Applied Machine Learning Engineer
1 week ago
Denver, CO, United States DigitalOcean Full timeDive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here....
-
Denver, CO, United States PROVE Full timeAbout Prove As the world moves to a mobile-first economy, businesses need to modernize how they acquire, engage with and enable consumers. Prove's phone-centric identity tokenization and passive cryptographic authentication solutions reduce friction, enhance security and privacy across all digital channels, and accelerate revenues while reducing operating...
-
Denver, CO, United States PROVE Full timeAbout Prove As the world moves to a mobile-first economy, businesses need to modernize how they acquire, engage with and enable consumers. Prove's phone-centric identity tokenization and passive cryptographic authentication solutions reduce friction, enhance security and privacy across all digital channels, and accelerate revenues while reducing operating...
-
Denver, CO, United States PROVE Full timeAbout Prove As the world moves to a mobile-first economy, businesses need to modernize how they acquire, engage with and enable consumers. Prove's phone-centric identity tokenization and passive cryptographic authentication solutions reduce friction, enhance security and privacy across all digital channels, and accelerate revenues while reducing operating...
