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Director Machine Learning Jobs in Cumming, GA (NOW HIRING)

Data Scientist

Duluth, GA ยท On-site

$110 - $150/hr

Continuously develop technical skills through self-directed learning and training. Experience * 3+ years of experience in data science, machine learning, or related analytical roles. * 3+ years of ...

... self-directed learning and training. Experience โ€ข 3+ years of experience in data science, machine learning, or related analytical roles. โ€ข 3+ years of experience with Python and data science ...

... self-directed learning and training. Experience โ€ข 3+ years of experience in data science, machine learning, or related analytical roles. โ€ข 3+ years of experience with Python and data science ...

... machine learning models and data-driven solutions that enhance our water utility intelligence ... This role provides direct impact on utility operations, water conservation efforts, and customer ...

... machine learning models and data-driven solutions that enhance our water utility intelligence ... This role provides direct impact on utility operations, water conservation efforts, and customer ...

Associate Director Verizon Connect (VZConnect) is guiding a connected world on the go by automating ... machine learning capabilities, with an emphasis on serving Enterprise customers. You will work with ...

Our success is a direct reflection of the talented and diverse people who make a positive ... Independently designs, develops, validates, and implements statistical and machine-learning ...

Showing results 21-40

Director Machine Learning information

See Cumming, GA salary details

$32.1K

$82K

$125.8K

How much do director machine learning jobs pay per year?

As of Sep 7, 2026, the average yearly pay for director machine learning in Cumming, GA is $82,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,800.00 and $94,600.00 per year, depending on experience, location, and employer.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Cumming, GA?

The most popular types of Machine Learning jobs in Cumming, GA are:

What are popular job titles related to Director Machine Learning jobs in Cumming, GA?

For Director Machine Learning jobs in Cumming, GA, the most frequently searched job titles are:

What job categories do people searching Director Machine Learning jobs in Cumming, GA look for?

The top searched job categories for Director Machine Learning jobs in Cumming, GA are:

What cities near Cumming, GA are hiring for Director Machine Learning jobs?

Cities near Cumming, GA with the most Director Machine Learning job openings:

Infographic showing various Director Machine Learning job openings in Cumming, GA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $82,011 per year, or $39.4 per hour.

Data Scientist

Verathon Inc

Duluth, GA โ€ข On-site

$110 - $150/hr

Other

Posted 5 days ago


Key responsibilities

  • Develop and deploy machine learning models and data science solutions for water utility applications.

  • Analyze large-scale IoT data, build predictive models, and perform exploratory data analysis to identify patterns and insights.

  • Collaborate with cross-functional teams to integrate ML models into production systems and monitor their performance.


Job description

Description

Position Summary

As a Data Scientist, you will be responsible for developing and implementing machine learning models and analytical solutions that support our water utility intelligence platform. This position involves analyzing large-scale IoT data from water meters, building predictive models, and collaborating with cross-functional teams to deploy data science solutions into production. You will work closely with senior data scientists, software engineers, and Product Management to translate business requirements into actionable insights and ML capabilities. This role offers the opportunity to grow your skills in production ML, cloud technologies, and contribute directly to water conservation and utility operational improvements.

Responsibilities

  • Collaborate with team members to develop and deploy machine learning models and data science solutions.
  • Work with Product Management to understand requirements and translate them into analytical approaches.
  • Build machine learning models for water consumption forecasting, anomaly detection, leak detection, and predictive maintenance.
  • Analyze large-scale time-series data from IoT devices and water utility operations.
  • Develop data processing workflows using Python, SQL, and distributed computing frameworks.
  • Conduct exploratory data analysis to identify patterns, trends, and insights in utility data.
  • Perform feature engineering and model experimentation to improve predictive performance.
  • Create data visualizations and reports to communicate findings to stakeholders.
  • Implement data quality checks and validation procedures for analytical pipelines.
  • Collaborate with software engineers to integrate ML models into Neptune 360 platform.
  • Monitor model performance and contribute to maintenance of production ML systems.
  • Document analytical methodologies, code, and model implementations.
  • Participate in code reviews and follow data science best practices.
  • Work with cloud-based data infrastructure and ML tools (AWS preferred).
  • Stay current with developments in machine learning and data science techniques.
  • Participate in sprint planning and demonstrate completed work at the end of every iteration.
  • Support senior data scientists with complex analytical projects.
  • Continuously develop technical skills through self-directed learning and training.

Experience

  • 3+ years of experience in data science, machine learning, or related analytical roles.
  • 3+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn).
  • Strong experience with SQL and relational databases.
  • Experience building and evaluating machine learning models.
  • Understanding of statistical analysis and experimental design principles.
  • Experience with data visualization tools and techniques.
  • Familiarity with cloud platforms (AWS, Azure, or GCP).
  • Experience with version control systems (Git).
  • Understanding of software development best practices.
  • Ability to work in Agile/iterative development environments.
  • Strong problem-solving skills and attention to detail.
  • Ability to communicate technical concepts clearly to both technical and non-technical audiences.
  • Demonstrated ability to learn new technologies and tools quickly.
  • Continued professional development through courses, certifications, or projects.
  • Preferred: Experience with PySpark or distributed computing frameworks.
  • Preferred: Experience with time-series analysis and forecasting.
  • Preferred: Experience with AWS services (SageMaker, Lambda, S3, Redshift).
  • Preferred: Experience with deep learning frameworks (TensorFlow, PyTorch).
  • Preferred: Experience deploying models to production environments.
  • Preferred: Experience with IoT data or utility operations.

Education

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field, or combination of education and equivalent experience.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

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Verathon logo

About Verathon

Sourced by ZipRecruiter

Industry

Medical equipment and supplies manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Bothell, WA, US

Year founded

1984