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Remote Java Machine Learning Jobs in Georgia (NOW HIRING)

Machine Learning & Operations Engineer

Atlanta, GA · On-site +1

$66.90K - $90.50K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

Machine Learning & Operations Engineer

Atlanta, GA · Remote

$66.80K - $90.40K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

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Remote Java Machine Learning information

What are the key skills and qualifications needed to thrive as a Remote Java Machine Learning Engineer, and why are they important?

To excel as a Remote Java Machine Learning Engineer, you need strong programming skills in Java, a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or Weka), version control systems like Git, and cloud computing platforms is highly valued. Excellent problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These competencies are vital for building effective ML solutions, working independently, and ensuring seamless integration within distributed teams.

How does a Remote Java Machine Learning Engineer typically collaborate with cross-functional teams given the distributed work environment?

As a Remote Java Machine Learning Engineer, you will regularly collaborate with data scientists, software engineers, and product managers through virtual meetings, shared project management tools, and code repositories. Clear communication and proactive documentation are essential to ensure alignment, especially when integrating machine learning models into Java-based applications. You may also participate in code reviews, sprint planning, and brainstorming sessions to refine features and troubleshoot issues. Building strong working relationships remotely often involves actively engaging in team channels and being responsive to feedback.

What are Remote Java Machine Learning jobs?

Remote Java Machine Learning jobs involve developing, deploying, and maintaining machine learning models and applications using the Java programming language, all while working from a remote location. Professionals in these roles typically build algorithms, process data, and integrate machine learning solutions into software systems. They collaborate with other developers and data scientists virtually, leveraging Java libraries such as Weka, Deeplearning4j, or MOA. These jobs are ideal for those who have strong Java skills and a background in machine learning, and who prefer the flexibility of working remotely.
What cities in Georgia are hiring for Remote Java Machine Learning jobs? Cities in Georgia with the most Remote Java Machine Learning job openings:
Machine Learning Search Engineer

Machine Learning Search Engineer

Diverse Lynx

Atlanta, GA • Remote

Other

This job post has expired today. Applications are no longer accepted.


Job description

Role: Machine Learning Search Engineer
Location: Fully Remote, Must be in Atlanta, GA or Birmingham, AL
Duration: Full Time
Experience: 8+ Year
• Build, maintain, and operate Python based ML pipelines for embeddings, inference, and relevance ranking
• Develop and support vector search and similarity matching to enable intent based product discovery
• Support GPU based workloads for model training, computation, and inference
• Participate in end to end MLOps workflows, including deployment, monitoring, retraining, and system maintenance
• Manage and refresh embeddings as product data and catalogs evolve over time
• Collaborate closely with Innovation, Architecture, and Engineering teams to deliver scalable ML systems
• Debug, optimize, and improve the performance, reliability, and relevance of search pipelines
• Contribute to ongoing platform enhancements as the search ecosystem matures
Required Qualifications
• Strong Python development experience (primary language)
• Experience building, deploying, or supporting machine learning pipelines in production
• Solid understanding of the ML lifecycle, including training, inference, retraining, and monitoring
• Familiarity with MLOps principles and production ML systems
• Experience working with large datasets and model outputs
• bility to work hands on in evolving systems with ambiguous or rapidly changing requirements
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

Diverse Lynx logo

About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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