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Scientific Machine Learning Jobs in Georgia (NOW HIRING)

Athena Technology Group

ATG is an Equal Opportunity/Affirmative Action Employer Minorities/Females/Vets/Disability Job Summary We are seeking a Data Scientist / Machine Learning Engineer to support advanced analytics and ...

Keylent Inc

Machine Learning Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Machine Learning Engineer TECHM-JOB-30814 Position :- Machine Learning Engineer Location :- Atlanta ... Studying and transform data science prototypes. Collaborating with cross-functional teams to define ...

TheTalentos, LLC

Machine Learning Engineer

Atlanta, GA · On-site

Empower our team of data scientists to rapidly develop and deploy ML solutions. * Leverage software engineering best practices to create and deploy data-intensive and machine learning inference ...

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Company Description Saince (pronounced Science) is a leading clinical documentation solutions and ... Research, design and prototype novel models based on machine learning, data mining, and statistical ...

Inovalon

Senior Machine Learning Engineer

Atlanta, GA · On-site

$117.80K - $155.30K/yr

... Data Science, Software Engineering, or a related technical field required. Preferred : • ... Machine Learning, or equivalent practical experience preferred. Company : A technology company ...

Inovalon

Senior Machine Learning Engineer

Atlanta, GA

$117.80K - $155.30K/yr

Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related technical field required. * Master's degree or PhD in Computer Science, Machine Learning, or equivalent ...

Inovalon

Senior Machine Learning Engineer

Atlanta, GA · On-site +1

$117.80K - $155.30K/yr

Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related technical field required. * Master's degree or PhD in Computer Science, Machine Learning, or equivalent ...

Inovalon

Senior Machine Learning Engineer

Atlanta, GA · On-site

$117.80K - $155.30K/yr

Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related technical field required. * Master's degree or PhD in Computer Science, Machine Learning, or equivalent ...

Varsity Tutors

Machine Learning Tutor

Carrollton, GA · Remote

$40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Alpharetta, GA · Remote

$40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Athens, GA · Remote

$40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Scientific Machine Learning information

What are the key skills and qualifications needed to thrive as a Scientific Machine Learning professional, and why are they important?

To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.

What are some common challenges faced by professionals in Scientific Machine Learning, and how can they be addressed?

Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.

What is scientific machine learning?

Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.

What is the difference between Scientific Machine Learning vs Data Scientist?

AspectScientific Machine LearningData Scientist
Required credentialsAdvanced degrees in CS, ML, or related fields; knowledge of scientific computingDegree in CS, statistics, or related fields; strong analytical skills
Work environmentResearch labs, academia, industry R&D teamsBusiness analytics, tech companies, consulting firms
Industry usageResearch, scientific computing, engineering simulationsBusiness insights, predictive modeling, data analysis

Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.

What are popular job titles related to Scientific Machine Learning jobs in Georgia? For Scientific Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Scientific Machine Learning jobs in Georgia look for? The top searched job categories for Scientific Machine Learning jobs in Georgia are:
What cities in Georgia are hiring for Scientific Machine Learning jobs? Cities in Georgia with the most Scientific Machine Learning job openings:
Scientific Machine Learning jobs near you
Data Scientist / Machine Learning Engineer

Data Scientist / Machine Learning Engineer

Athena Technology Group

Other

Medical, Dental, Vision, Life, Retirement

Posted 25 days ago

Job description

Employment Type: Regular, Full-Time
Shift:
About the Company
Athena Technology Group, Inc. (ATG) is a Service-Disabled Veteran Owned Small Business (SDVOSB) focused on Information Technology and Communications consulting, system engineering, integration, deployment and operation of state of the art command and control and information systems that deliver critical network centric solution to the warfighter. With a proven track record of technical support to our customers, we are looking for innovative industry professionals to join our team.
ATG is an Equal Opportunity/Affirmative Action Employer Minorities/Females/Vets/Disability
Job Summary
We are seeking a Data Scientist / Machine Learning Engineer to support advanced analytics and data science initiatives at Fort Eisenhower, GA under the IAE program. The selected candidate will develop and deploy machine learning models, process large-scale structured and unstructured data, and provide actionable insights to support mission-critical operations.
Key Responsibilities

  • Curate and develop structured and unstructured data foundations in coordination with stakeholders
  • Process modeling data and perform advanced analytics
  • Apply machine learning, natural language processing, and network analysis techniques
  • Develop innovative approaches to analyze large-scale unstructured datasets
  • Process and index high-volume and high-velocity data streams
  • Develop Python-based tools and packages for data analysis and machine learning applications
  • Deploy and maintain notebook-based data science environments such as JupyterHub
  • Visualize data insights using multi-dimensional analytical tools
Qualifications
Required:
  • Active TS/SCI clearance with CI Poly and ability to obtain MEAD SIP clearance
  • Bachelor's degree with 10+ years of experience, Master's with 3-6+ years, or equivalent experience
  • Strong Python development experience with data science and machine learning libraries (pandas, scikit-learn, PyTorch/TensorFlow, matplotlib/plotly, networkx)
  • Experience with supervised and unsupervised machine learning, NLP, and network analysis
  • Experience maintaining and deploying JupyterHub or similar environments
  • Strong background in mathematics, statistics, engineering, or physics
  • Experience analyzing complex datasets and delivering actionable insights
Desired:
  • IAM Level I certification
  • Experience with high-performance computing environments
  • Experience supporting DoD or intelligence community analytics programs
Physical and Environmental Conditions
Normal Office Environment. Requires Sitting, Standing, Near Acuity, Speaking with colleagues and customers, Listening, Sight, Use of hands/fingers.
Additional Benefits
  • Performance Bonuses and annual salary reviews
  • Health, dental, and vision insurance
  • Short Term Disability, Long Term Disability, and Life Insurance
  • 401(k) plan with company match
  • Opportunities for professional growth and development
  • A collaborative and inclusive work environment

EEO Statement
ATG is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law.

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