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Remote Machine Learning Robotics Jobs in Tennessee

Humana

Senior Data Engineer - NBA

Nashville, TN · On-site +1

$110K - $132K/yr

Familiarity with machine learning, recommendation systems, reinforcement learning, or decision ... Remote/Hybrid - Preferably Boston, MA. Occasional travel to Humana's offices for training or ...

Humana

Senior Data Engineer - NBA

Nashville, TN · On-site +1

$110K - $132K/yr

Familiarity with machine learning, recommendation systems, reinforcement learning, or decision ... Remote/Hybrid - Preferably Boston, MA. Occasional travel to Humana's offices for training or ...

Humana

Senior Data Engineer - NBA

Nashville, TN · On-site +1

$110K - $132K/yr

Familiarity with machine learning, recommendation systems, reinforcement learning, or decision ... Remote/Hybrid - Preferably Boston, MA. Occasional travel to Humana's offices for training or ...

Revecore

Senior Data Engineer

Franklin, TN · Remote

$102K - $138K/yr

Remote-USA Revecore is embarking on re-architecting and modernizing its core platform. The Data ... This team is composed of Data Engineering, Analytics Engineering, Data Science and Machine Learning ...

Motorola

Senior DevOps Engineer (US REMOTE)

Brentwood, TN · Remote

$140K - $170K/yr

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

Premise Health

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

This is a Full Time, remote, Data Science Analyst role. What You'll Do Data Analysis & Manipulation ... Contribute to predictive modeling and machine learning efforts under the guidance of senior team ...

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Remote Machine Learning Robotics information

What is a remote machine learning robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

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

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

What is the difference between Remote Machine Learning Robotics vs Remote Data Scientist?

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

What are popular job titles related to Remote Machine Learning Robotics jobs in Tennessee?

For Remote Machine Learning Robotics jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Robotics jobs in Tennessee look for?

The top searched job categories for Remote Machine Learning Robotics jobs in Tennessee are:

What cities in Tennessee are hiring for Remote Machine Learning Robotics jobs?

Cities in Tennessee with the most Remote Machine Learning Robotics job openings:

Remote Machine Learning Robotics jobs near you

Senior AI Engineer

Chattanooga, TN • On-site, Remote

BlueCross BlueShield of Tennessee
Insurance Services • 5 - 10K employees
Learn more about BlueCross BlueShield of Tennesseeexternal

$95K - $130K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

BlueCross BlueShield of Tennessee is hiring a Senior AI Engineer within our Facets Claims, Integrations & Operations and BlueCard/ITS division. This fully remote, newly created role will help establish the AI integration and automation foundation for Core Payer Applications. You'll lead the design and development of AI platform capabilities, MCP (Model Context Protocol) services, and enterprise integrations that connect AI agents with business applications, APIs, and data sources.
Working at the intersection of healthcare operations and artificial intelligence, you'll play a key role in shaping how technologies are extended for our mission-critical applications and adopted across our organization.
Our ideal candidates will bring:
  • Experience designing and building enterprise-scale integrations, APIs, or platform services in a regulated environment (healthcare, financial services, government, etc.)
  • Experience with AI agents, MCP (Model Context Protocol), tool calling, or similar frameworks that connect AI systems to enterprise applications and data sources
  • Experience translating business workflows into scalable AI-enabled solutions

If you're inspired by our mission - peace of mind through better health - and ready for a high-visibility, high-impact role, we hope you'll apply.
Note:
  • Sponsorship is not available for this role.
  • Final interviews at our Chattanooga, TN headquarters will be required.

Job Responsibilities
  • Lead the ideation, development, and productionalization of sophisticated AI solutions tailored for healthcare payer use cases.
  • Architect, design, and implement complex, state-of-the-art AI models and algorithms, leveraging Python and cloud platforms like GCP Vertex AI.
  • Partner strategically with product teams and business stakeholders to define and prioritize opportunities for applying advanced AI techniques to solve critical business challenges and drive process automation.
  • Conduct in-depth research and maintain expertise in the latest advancements in AI, championing the adoption of cutting-edge techniques and methodologies within the team.
  • Architect and develop robust, scalable, and efficient systems and code bases for deploying AI models into production environments, ensuring high availability and performance.
  • Serve as a key technical advisor to our internal Lines-of-Businesses, understanding complex needs, gathering requirements, and translating them into impactful, actionable AI solutions.
  • Define and oversee the evaluation and validation frameworks for AI models, ensuring their accuracy, reliability, fairness, and performance exceed business requirements.
  • Mentor and guide junior engineers on best practices in AI development, model implementation, and system design.

Job Qualifications
Education
  • Bachelor's degree in STEM (Science, Technology, Engineering or Math) or related field or equivalent work experience required.
  • Master's or PhD degree in a relevant field (e.g., Computer Science, AI, Machine Learning) strongly preferred.

Experience
  • 5+ years of relevant work experience in analytics, technology, software engineering, or healthcare (academic experience included), or related equivalent experience.
  • 3+ years of hands-on experience specifically with machine learning, deep learning, and preferably AI models (e.g., LLMs, diffusion models) is required.
  • Proven experience handling large, complex datasets to build and optimize sophisticated data science pipelines.
  • Deep experience with Machine Learning, Deep Learning frameworks (e.g., Pytorch, TensorFlow), Natural Language Processing (NLP), and associated libraries (e.g., Hugging Face Transformers).
  • Experience deploying and managing ML models in cloud environments (GCP Vertex AI preferred, AWS SageMaker or Azure ML acceptable).

Skills/Certifications
  • Expert proficiency in Python and relevant data science/ML libraries.
  • Proficient in Microsoft Office (Outlook, Word, Excel, and PowerPoint).
  • Proven ability to architect, design, and implement complex systems. Demonstrated success leading technically challenging projects from conception through to deployment.
  • Exceptional ability to interpret and translate complex technical concepts into information meaningful to project team members, business personnel, and leadership.
  • Strong technical leadership and mentorship capabilities.
  • Must be able to communicate effectively and influence both technical and non-technical co-workers and stakeholders.
  • Highly organized, reliable, capable of managing multiple complex tasks, demonstrating an exceptional work ethic and strategic thinking.

N/A
Number of Openings Available
1
Worker Type:
Employee
Company:
BCBST BlueCross BlueShield of Tennessee, Inc.
Applying for this job indicates your acknowledgement and understanding of the following statements:
BCBST will recruit, hire, train and promote individuals in all job classifications without regard to race, religion, color, age, sex, national origin, citizenship, pregnancy, veteran status, sexual orientation, physical or mental disability, gender identity, or any other characteristic protected by applicable law.
Further information regarding BCBST's EEO Policies/Notices may be found by reviewing the following page:
BCBST's EEO Policies/Notices
BlueCross BlueShield of Tennessee is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at BlueCross BlueShield of Tennessee via-email, the Internet or any other method without a valid, written Direct Placement Agreement in place for this position from BlueCross BlueShield of Tennessee HR/Talent Acquisition will not be considered. No fee will be paid in the event the applicant is hired by BlueCross BlueShield of Tennessee as a result of the referral or through other means.

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