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Junior Ai Machine Learning Python Jobs in Dallas, GA

Senior Machine Learning Engineer (3967)

Atlanta, GA ยท On-site

$100.50K - $138K/yr

Mentor and support junior CVML engineers across all phases of ML projects, including planning, data ... Strong proficiency in Python (C++ is a plus) and PyTorch (TensorFlow is a plus) * Hands-on ...

Senior Machine Learning Engineer (3967)

Atlanta, GA ยท On-site

$100.50K - $138K/yr

Mentor and support junior CVML engineers across all phases of ML projects, including planning, data ... Strong proficiency in Python (C++ is a plus) and PyTorch (TensorFlow is a plus) * Hands-on ...

Senior Machine Learning Engineer (3967)

Atlanta, GA ยท On-site

$100.50K - $138K/yr

Mentor and support junior CVML engineers across all phases of ML projects, including planning, data ... Strong proficiency in Python (C++ is a plus) and PyTorch (TensorFlow is a plus) * Hands-on ...

You will leverage your skills in edge optimization, system and embedded knowledge, AI/machine learning, MLOps, computer vision, innovation, and problem solving to drive advanced AI solutions. We are ...

Deploy machine learning models and ensure their effective integration into existing systems ... Experience mentoring junior colleagues and interns.

AI is the future of design and make, and Autodesk is pioneering the transformation of the AEC ... As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team ...

You will leverage your skills in edge optimization, system and embedded knowledge, AI/machine learning, MLOps, computer vision, innovation, and problem solving to drive advanced AI solutions. We are ...

Senior AI Engineer

Atlanta, GA ยท On-site

$100.50K - $138K/yr

... guidance to junior team members. This position blends applied machine learning, software ... Strong proficiency in Python and production-grade development practices preferred * Proven ...

As the Applied AI / Machine Learning Engineer, you will play a handson role crafting, developing ... Strong experience building ML models using Python and common libraries (e.g., pandas, scikitlearn ...

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Junior Ai Machine Learning Python information

See Dallas, GA salary details

$42K

$85.4K

$128.3K

How much do junior ai machine learning python jobs pay per year?

As of May 30, 2026, the average yearly pay for junior ai machine learning python in Dallas, GA is $85,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $86,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What are some typical projects or tasks a Junior AI/Machine Learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What does a Junior AI Machine Learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What cities near Dallas, GA are hiring for Junior Ai Machine Learning Python jobs? Cities near Dallas, GA with the most Junior Ai Machine Learning Python job openings:
Machine Learning Platform Engineer - Backend Services

Machine Learning Platform Engineer - Backend Services

Patientco

Atlanta, GA โ€ข On-site

Full-time

Medical, Retirement, PTO

Posted 23 days ago


Job description

ABOUT THIS POSITION

Machine Learning Platform Engineer - Backend Services
We are looking for a Machine Learning Platform Engineer - Backend Services that will help us build out the platform that supports the training and application of our predictive models and performs deep analysis to extract machine consumable meaning from unstructured clinical documentation. You will be joining a small team that has become one of the top players in our field in just two years. Because we work on the cutting edge of a lot of technologies, we need someone who is a creative problem solver, resourceful in getting things done, and productive working independently or collaboratively. You will be accessing our enormous amount of data to help drive our future innovation.

WHAT YOU'LL DO

Responsibilities:

  • Develop and enhance the machine learning platform to manage the full model life cycle

  • Build frameworks and tools to enable the data science team developing and enhancinge predictive model support scalable real-time predictions in production

  • Design and implement data engineering solutions for model training

  • Expand NLP capabilities with advanced analysis techniques to improve text understanding

  • Design and implement high-performance, scalable services and applications

  • Collaborate with team members to create integrated solutions and ensure timely delivery of quality software and documentation

  • Understand and adhere to development standards for consistency across teams

  • Perform in-depth technical and performance analyses to troubleshoot production issues

  • Monitor and maintain production systems for reliability and efficiency

WHAT YOU'LL NEED

What You'll Need
Minimum Requirements (Education, certifications and experience):

  • Bachelor's degree in Computer Science or related area

  • 3+ years of professional experience writing Python or Java code

  • Intermediate proficiency with SQL

  • Experience with CI/CD and automated testing

  • Comfort working in a Linux environment

  • Passion for exploring, applying and following the evolution of cutting edge technologies related to AI, machine learning, NLP and large scale data processing

  • Professional experience with Docker, Kubernetes, relational databases (PostgreSQL preferred), REST API design, and microservices application architectures

  • Experience with public cloud solutions, such as AWS or GCP

  • Team player DNA with a positive, self-starter attitude

  • Attention to detail, highly organized, with an absolute focus on quality of work

Preferred Requirements:

  • Professional experience with MLOps, Kafka

  • Familiarity with ClearML, Triton, PyTorch, and TensorFlow

  • Familiarity with statistics and healthcare domain

  • Proven expertise in successful large project/build management and execution

  • Demonstrated ability to manage multiple work streams simultaneously and efficiently

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.