1

Junior Ai Machine Learning Python Jobs in Tennessee

Senior Machine Learning Engineer

Franklin, TN · Remote

$118K - $155K/yr

Continuously measure the impact of the AI-enabled workflows on key business metrics and use these ... Strong experience with Python, including scikit-learn. TensorFlow orPyTorchis a plus. Ability to ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

$139K - $168K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Strong knowledge of Python or C++, or the ability to learn them quickly * A passion for learning ...

$139K - $168K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Strong knowledge of Python or C++, or the ability to learn them quickly * A passion for learning ...

Showing results 41-60

Junior Ai Machine Learning Python information

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 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 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 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 are popular job titles related to Junior Ai Machine Learning Python jobs in Tennessee? For Junior Ai Machine Learning Python jobs in Tennessee, the most frequently searched job titles are:
What cities in Tennessee are hiring for Junior Ai Machine Learning Python jobs? Cities in Tennessee with the most Junior Ai Machine Learning Python job openings:

Senior Machine Learning Engineer

Revecore

Franklin, TN • Remote

$118K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Revecore rating

8.1

Company rating: 8.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

Start your next chapter atRevecore! For over 25 years,we'vebeen at the forefront of specialized claims management, helping healthcare providers serve more patients by helping them recover more revenue.We'repowered by people, driven by technology, and dedicated to our clients and employees. Ifyou'relooking for a collaborative and diverse culture witha great work/life balance, look no further.

RevecorePerks:

  • We offer paid training and incentive plans
  • Our medical, dental, vision, and life insurance benefits are available from the first day of employment
  • We enjoy excellent work/life balance
  • Our Employee Resource Groups build community and foster a culture of belonging and inclusion
  • We match 401(k) contributions
  • We offer career growth opportunities
  • We celebrate 12 paid holidays and generous paid time off

Location:Remote - USA

As a Senior Machine Learning Engineer (individual contributor) atRevecore, you will:

Use yourexpertisein machine learning, exploratory data analysis, and software engineering to enhance the productivity and efficiency of our underpayment business. You will work on projects with purpose, such as prioritizing claims based on expected recovery dollars and improving our claim-remit matching process.

This is a modeling team that owns the model deployment process. Youwon'tbe creating dashboards or pivot tables. Youwon'tjust build POCs. Our team increases revenue and decreases costs: you will deploy your work and see the results as we increase our clienthospitals'revenue.

The Role:

Own end-to-end development, training, deployment, evaluation, and improvement of machine learning systems to rank claim opportunities.

Analyze and explore data toidentifyactionable opportunities from internal and 3rd party data.

Research, implement, and launch new model architectures that drive business impact.

Partner and collaborate with cross-functional teams of software engineers, data engineers, subject matter experts, product managers, and analysts to design and build practical solutions.

Implement cloudMLOpsand AIOps best practices to streamline the development, deployment, and maintenance of machine learning models.

Continuously measure the impact of the AI-enabled workflows on key business metrics and use these measurements to improve the machine learning models and workflows.

Learn from and teach your teammates. You will be theteam'sexpert in your specialization, and you will learn from experts in theirs.

Own a workstream.You'llbe the technical lead for the workstream, partnering with others to deliver.You'llalso work on other projects, but this workstream will be one of your key successes.

You'llbe successful if you have:

An urge to question assumptions, and to get it right (or at least good enough) even if your first idea is wrong.

A commitment to collaborate, rather than go off in a corner only to appear when you need tosubmita pull request.

A bachelor's degree in any data-centric field. Scientific thinking isa must.

Experience working in a similar role, with a focus on machine learning or data science.

Experience developing and deploying machine learning models in a production environment.

Strong experience with Python, including scikit-learn. TensorFlow orPyTorchis a plus.

Ability to wrangle data, perform exploratory data analysis, and draw insights from visualizations.

It would also be great if you have:

Intuitionaboutdata developed by doing statistics and/or research.

Applied experience with contemporary natural language processing (NLP) techniques and tools (e.g., entity extraction, transformers, HuggingFace).

Experience with Spark.

Experience with operating ML pipelinesina cloud platform (e.g., AWS, GCP, Azure).

A master's degree, Ph.D., or other experiencedemonstratingscientific thinking.

As part of our team,you'llbe rewarded with:

Comprehensive medical, dental, vision, and life insurance benefits from the start of your employment.

12 paid holidays and flexible paid time off.401(k) contributions.

Employee Resource Groups that build community.

Career growth opportunities.

An excellent work/life balance.

Work at Home Requirements:

A quiet, distraction-free environment to workfrom inyour home.

A secure home internet connection with speeds >20 Mbps for downloads and >10 Mbps for uploads isrequired.

The workspace area accommodates all workstation equipment and related materials and provides adequate surface area to be productive.

Revecoreis an equal opportunity employer that does not discriminate based on race, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin, age, disability status, veteran status, genetic information, or any other legally protected status.
We believe that a diverse workforce fosters innovation and creativity, enriches our culture, and enables us to better serve the needs of our clients and communities. We welcome and encourage individuals of all backgrounds, perspectives, and abilities to apply.

Revecoreis an equal opportunity employer that does not discriminate based on race, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin, age, disability status, veteran status, genetic information, or any other legally protected status.
We believe that a diverse workforce fosters innovation and creativity, enriches our culture, and enables us to better serve the needs of our clients and communities. Wewelcome and encourage individuals of all backgrounds, perspectives, and abilities to apply.

Mustresidein the United Stateswithin one of the following states:

Alabama, Arkansas, Delaware, Florida, Georgia, Iowa, Illinois, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Maine, Maryland, Michigan, Minnesota, Missouri, Mississippi, Montana, North Carolina, Nebraska, New Hampshire, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, Wisconsin, or West Virginia.


What Revecore employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom