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Machine Learning Software Engineer Intern Jobs in Georgia

As an AI Engineer Intern at Finastra, you will gain hands-on experience working with cutting-edge ... software development, and build a strong foundation for a career in AI and machine learning.

We aim to create software that delivers real-time data to the entire supply chain that allows ... Job Summary We are seeking a highly skilled and motivated Machine Learning Engineer to join our ...

As an intern with Textron, you'll gain hands-on experience while exploring your interests and ... Work with senior software engineers to develop, design, configure, test, and document software ...

As an intern with Textron, you'll gain hands-on experience while exploring your interests and ... Work with senior software engineers to develop, design, configure, test, and document software ...

As an intern with Textron, you'll gain hands-on experience while exploring your interests and ... Work with senior software engineers to develop, design, configure, test, and document software ...

Machine Learning Intern

Atlanta, GA ยท On-site

$27 - $42/hr

To that end, there are three major components with which an intern should expect to engage ... Software Development Writing high quality Python (readable, reusable, modular, and well-abstracted ...

Machine Learning Engineer**### **KSB GIW, Inc.**### **Department:** Engineering, Research & Development **Reports to:** Metallurgical and Materials R&D Lab Manager **Location:** Grovetown, GA, USA ...

Machine Learning Engineer KSB GIW, Inc. Department: Engineering, Research & Development Reports to: Metallurgical and Materials R&D Lab Manager Location: Grovetown, GA, USA (onsite) Shift: First FLSA ...

Explore opportunities to incorporate AI and machine learning capabilities into software solutions under the guidance of senior engineers and architects. * Continuously develop technical knowledge and ...

Machine Learning Operations Engineer

Atlanta, GA ยท On-site

$66K - $90K/yr

We aim to create software that delivers real-time data to the entire supply chain that allows ... The MLOps Engineer works closely with Machine Learning Engineers and Data Engineers to ensure that ...

Showing results 41-60

Machine Learning Software Engineer Intern information

What does a machine learning software engineer intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

What are the key skills and qualifications needed to thrive as a machine learning software engineer intern?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Georgia?

The most popular types of Machine Learning Software Engineer jobs in Georgia are:

What cities in Georgia are hiring for Machine Learning Software Engineer Intern jobs?

Cities in Georgia with the most Machine Learning Software Engineer Intern job openings:

Next Insurance - Machine Learning Engineer

Atlanta, GA โ€ข On-site

Beyond SOF
Professional, Scientific, and Technical Servicesย โ€ขย 11 - 50 employees

Full-time

Re-posted 2 days ago


Job description

Machine Learning Engineer
Experience level: Mid-senior
Experience required: 4 Years
Education level: Bachelor's degree
Job function: Information Technology
Industry: Financial Services
Total position: 1
Relocation assistance: Limited assistance
Visa : Only US citizens and Greencard holders

Job Summary
We are looking for a driven Machine Learning Engineer to help us bring software development rigor to the ML life-cycle within the business insurance industry. As an experienced innovator partnering with the marketing and growth teams, this is a massive opportunity to drive high growth impact at a hyper-growth startup. Your job is to be a full stack ML engineer, supercharging all aspects of scaling Machine Learning at NEXT: application design and architecture, scalable deployment of inference solutions as APIs, data enrichment as a service, and model monitoring.
You will be joining an innovative division of NEXT based in Atlanta: Data Labs. The mandate of Data Labs is to build software and data solutions that meaningfully impact marketing, funnel, risk, and servicing/claims experiences.
What You'll Do:
  • 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 products.
  • Understand the data and dig deep to extract actionable insights.
  • Think creatively and outside the box to answer desired experimental questions as well as exposing opportunities to create business value.
  • Work cross-functionally with marketing, engineering, product, senior management, and external partners.

What We Need:
  • 3+ years of hands-on experience in the complete software development life-cycle with demonstrated professional experience with machine learning
  • Strong command of Python and the standard web development frameworks (e.g. Django, Flask, FastAPI) & fluency with database technologies, SQL, and Python data packages
  • Demonstrated experience deploying models and applications to a cloud environment using tools like Docker and Kubernetes.
  • Demonstrated experience with software engineering best-practices, such as Test-Driven Development and continuous integration/deployment pipelining
  • Experience with ML-oriented data pipelining tools (dbt, Airflow, Prefect, DVC, etc.)

Unstoppable Qualities:
  • Experience in the insurance industry (strong fintech/lending experience will also be considered)
  • Experience with GitLab