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Remote Python Llm Jobs in Powder Springs, GA (NOW HIRING)

Honeywell

Sr Advanced Data Scientist

Atlanta, GA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning ... Experience with LLM and Natural Language Processing models * Experience working with remote and ...

Unum UK

Principal Data Engineer - CX Analytics

Atlanta, GA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data and LLM-based workflows to extract signal from sources such as raw text. As a hands-on ... Current remote and field-based Unum employees may apply and will be considered in accordance with ...

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How much do remote python llm jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote python llm in Powder Springs, GA is $55.51, according to ZipRecruiter salary data. Most workers in this role earn between $45.77 and $63.03 per hour, depending on experience, location, and employer.

What is a remote Python LLM?

A Remote Python LLM job typically involves working with large language models (LLMs) like GPT or similar AI technologies using the Python programming language, while operating remotely. Professionals in this role develop, fine-tune, and deploy machine learning models, especially those focused on natural language processing (NLP) tasks. Responsibilities may include building Python applications that integrate with LLMs, data preprocessing, and collaborating with teams across different locations. The remote aspect allows for flexible work arrangements and access to global opportunities.

What are the key skills and qualifications needed to thrive as a remote Python LLM engineer?

To thrive as a Remote Python LLM Engineer, you need strong proficiency in Python programming, experience with large language models (LLMs), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These skills ensure you can develop, deploy, and maintain advanced language models efficiently while working independently in distributed teams.

What are some common collaboration methods used by remote Python LLM engineers when working with cross-functional teams?

Remote Python LLM engineers frequently collaborate with data scientists, product managers, and other developers through virtual meetings, code reviews, and shared documentation platforms. Tools like Slack, GitHub, and Jira are often used to ensure smooth communication and project tracking, despite working across different time zones. Regular stand-ups and sprint planning sessions help align objectives and keep everyone updated on progress. Proactive communication and clear documentation are key to overcoming the challenges of remote, distributed teamwork in this role.

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Sr Advanced Data Scientist

Honeywell

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

68th of 540 rated manufacturers

Job description

As a Sr Advanced Data Scientist here at Honeywell, you will leverage your expertise in advanced analytics and data science to develop innovative solutions that drive business growth and operational efficiency. You will work on complex data sets and cutting-edge technologies to extract actionable insights that influence strategic decisions.

You will work out of our Atlanta, GA location on a hybrid work schedule.

In this role, you will impact the company's ability to harness data-driven insights to optimize processes, enhance product offerings, and contribute to Honeywell's leadership in technology innovation.

KEY RESPONSIBILITIES

  • The Sr Advanced Data Scientist role is expected to work within Honeywell to identify opportunities for new growth and efficiency based on data analyses and foster relationships with business team members by being proactive, displaying a thorough understanding of the business processes. 
  • You will also be responsible for recommending innovative solutions by using various data science methods including hypothesis testing and also be responsible for defining the data acquisition strategy when required. 
  • After influencing scope and prioritizing the analytics pipeline, you will assist in leading the technical execution of data science projects directing daily work of junior data scientists and will be responsible for the overall success of the project. This includes stakeholder management by presenting regular updates and final results to senior leadership of the customer organization. 
  • You will also be expected to actively participate in defining and governing our analytics strategy for 
  • Honeywell building out AI/ML capabilities of our Forge platform and promoting data science methods and processes across functions 
  • You will report to the Data Science Leader in Honeywell Connected Enterprise. 
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.YOU MUST HAVE
  • Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial setup.
  • Minimum of 4 years of full time Machine Learning experience applied on top of processes, systems, and hardware in a commercial setup.
  • Minimum of 3 years of experience with distributed storage and compute tools (e.g. Spark)
  • Minimum of 3 years' experience developing and deploying machine learning models on cloud platforms (e.g. AWS, Azure, GCP etc.)
  • Minimum of 2 years of experience in deep learning frameworks like PyTorch, Tensorflow, Keras
  • Minimum of 2 years' Experience with designing, building models and deploying pipelines to production using containerized microservices and/or orchestrated batch runs
WE VALUE
  • Bachelor's degree or Advanced degree in Computer Science, Statistics, Mathematics, or related discipline.
  • Master's degree in computer science, Engineering, Applied Mathematics or related STEM field
  • PhD degree in Computer Science, Engineering, Applied Mathematics or related STEM field
  • Experience with MLOPS best practices and implementations
  • Experience with LLM and Natural Language Processing models
  • Experience working with remote and global teams
  • Results driven with a positive can-do attitude
BENEFITS OF WORKING FOR HONEYWELL

In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here

The application period for the job is estimated to be 40 days from the job posting date August 14, 2026; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.

ABOUT HONEYWELL

Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state of the art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell: click here

THE BUSINESS UNIT

Honeywell Advanced Materials is an industry leading solutions provider, playing a crucial role in advancing industries worldwide through diverse applications, revolutionary inventions, and pioneering technologies focused on high growth mega-trends. Our science and technology experts create solutions that help solve our customers' needs today and in the future. Our solutions span across industries, including retail, healthcare and pharma, buildings, manufacturing and hi-tech. In each of these verticals we bring deep materials and engineering knowledge, which leads to our customers achieving reduction in energy consumption, cutting down their carbon emissions and improving their operational efficiencies.

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About Honeywell

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Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906

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