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Remote Bioinformatics Machine Learning Jobs in Georgia

OptiTrack

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 ...

OptiTrack

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 ...

AEG Presents

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 ...

PrizePicks

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 ...

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

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Remote Bioinformatics Machine Learning information

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

To excel as a Remote Bioinformatics Machine Learning Specialist, a strong background in computational biology, statistics, and machine learning—often supported by an advanced degree in bioinformatics, computer science, or a related field—is essential. Proficiency with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with bioinformatics tools and databases are typically required. Excellent problem-solving, self-motivation, and clear communication skills help professionals collaborate effectively and independently in remote environments. These abilities are vital for developing accurate models, interpreting complex biological data, and contributing meaningful insights to scientific research.

How do remote bioinformatics machine learning professionals typically collaborate with cross-functional teams?

Remote bioinformatics machine learning professionals often work closely with biologists, data scientists, and software engineers. Collaboration is typically facilitated through virtual meetings, shared code repositories, and project management tools. Regular communication is essential to align on data requirements, model development, and interpretation of results. While remote work offers flexibility, it requires strong organizational skills and proactive engagement to ensure seamless teamwork and project success.

What is a Remote Bioinformatics Machine Learning specialist?

A Remote Bioinformatics Machine Learning specialist is a professional who applies machine learning techniques to biological data, such as genomics or proteomics, while working from a remote location. They analyze complex biological datasets to uncover patterns, make predictions, and contribute to advancements in areas like drug discovery, disease research, and personalized medicine. These specialists typically have strong skills in programming, statistics, biology, and data analysis, and collaborate with researchers and healthcare professionals through digital communication tools.

What is the difference between Remote Bioinformatics Machine Learning vs Remote Computational Biologist?

AspectRemote Bioinformatics Machine LearningRemote Computational Biologist
Required CredentialsMaster's or PhD in Bioinformatics, Computer Science, or related fields; experience in machine learningMaster's or PhD in Biology, Bioinformatics, or related fields; strong computational skills
Work EnvironmentRemote, collaborative teams in biotech, pharma, or research institutionsRemote or on-site, working in research labs or academic settings
Industry UsageUsed in biotech, healthcare, and pharmaceutical industries for data analysis and model developmentCommon in academic research, biotech, and healthcare for biological data interpretation

Remote Bioinformatics Machine Learning focuses on developing algorithms and models to analyze biological data using machine learning techniques. In contrast, Remote Computational Biologist applies computational methods to biological research questions, often integrating diverse data types. Both roles require strong computational skills and often overlap, but the former emphasizes machine learning expertise, while the latter has a broader biological research scope.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Georgia? The most popular types of Bioinformatics Machine Learning jobs in Georgia are:
What are popular job titles related to Remote Bioinformatics Machine Learning jobs in Georgia? For Remote Bioinformatics Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Machine Learning jobs in Georgia look for? The top searched job categories for Remote Bioinformatics Machine Learning jobs in Georgia are:
What cities in Georgia are hiring for Remote Bioinformatics Machine Learning jobs? Cities in Georgia with the most Remote Bioinformatics Machine Learning job openings:
Remote Bioinformatics Machine Learning jobs near you
Machine Learning Search Engineer

Machine Learning Search Engineer

Diverse Lynx

Atlanta, GA • Remote

Other

This job post has expired 1 day ago. 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.
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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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