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Machine Learning Engineer From Home Jobs in Georgia

... everything from building services,industry and water transport to waste water treatment, power ... Machine Learning Engineer KSB GIW, Inc. Department: Engineering, Research & Development Reports to:

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$162K - $342K/yr

... -from anywhere experiences. We integrate industry-leading solutions-including Unified Endpoint ... As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems ...

CNN is a global leader in news and information, seeking a Machine Learning Engineer I to build and deploy ML systems that enhance personalization, search, recommendations, and content understanding ...

Senior Machine Learning Engineer

Atlanta, GA

$100K - $138K/yr

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining ... We're home to the most talked about shows and movies, granting audiences access to the worlds of ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Machine Learning Engineer From Home information

What is the difference between Machine Learning Engineer From Home vs Data Scientist?

AspectMachine Learning Engineer From HomeData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, flexible hours, often project-basedRemote or on-site, collaborative teams, research-focused
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, research institutions
Common Search & ComparisonOften compared for technical skills and remote work optionsCompared for data analysis and modeling expertise

While both roles require strong technical credentials and often involve remote work, Machine Learning Engineers From Home focus on developing and deploying ML models, whereas Data Scientists analyze data to generate insights. The choice depends on whether you prefer building algorithms or interpreting data trends.

What are the most commonly searched types of Machine Learning Engineer jobs in Georgia? The most popular types of Machine Learning Engineer jobs in Georgia are:
What job categories do people searching Machine Learning Engineer From Home jobs in Georgia look for? The top searched job categories for Machine Learning Engineer From Home jobs in Georgia are:
What cities in Georgia are hiring for Machine Learning Engineer From Home jobs? Cities in Georgia with the most Machine Learning Engineer From Home job openings:
Machine Learning Engineer

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Re-posted 29 days ago


Job description

Job Description Machine Learning Engineer Roles and Responsibilities Lead the end-to-end architecture and development of machine learning solutions. Implement machine learning algorithms into services and pipelines to be consumed at large-scale. Engineer large scale development systems using full-stack, distributed shallow and deep-learning technologies and big data technologies.

Architect and develop a highly scalable, distributed, multi-tenant set of microservices backend solutions. Be a part of a highly productive and creative engineering team What Are We Looking For in This Role. Highly Preferred: MS or PhD in Machine learning, Computer Vision, Natural Language Processing or a related field.

5+ years of experience architecting and developing AI and machine learning applications Ability to think critically, question assumptions and devise solutions to challenging technical problems. Hands-on experience with one or more of the following technologies: --Machine Learning: TensorFlow, PyTorch, Spark ML/MLib etc. --ML Technologies: NLP, Computer Vision and related technologies.

--Back end web-services: Java, Spring Boot, Python, Kubernetes, Docker - Big Data technologies: Kafka, Apache Spark, MapR, Hbase, Hive, HDFS etc. Minimum Qualifications Bachelor's Degree Relevant Experience or Degree in: Computer Science, Management Information Systems, Business or related field Typically Minimum 6 Years Relevant Exp Four-year college degree and 6 or more years, and/or a high school diploma with 8 or more years professional experience with full life cycle design and development