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Remote Machine Learning Robotics Jobs in Tennessee

This is a remote position but may require occasional travel to a JR Automation or customer facility ... Machine Learning and other AI - ML, Custom AI programming, etc. * Machine Vision - Halcon, Cognex ...

Domain Expert - (STEM PhD)

Nashville, TN ยท Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Domain Expert - (STEM PhD)

Memphis, TN ยท Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

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 ...

Senior Data Engineer-JT0224

Franklin, TN ยท 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 ...

Data Science Analyst - Remote

Brentwood, TN ยท 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 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.

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 are the key skills and qualifications needed to thrive as a Remote Machine Learning Robotics Engineer, and why are they important?

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.
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:
Senior AI Engineer

Senior AI Engineer

BlueCross BlueShield of Tennessee

Chattanooga, TN โ€ข On-site, Remote

$95K - $130K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

BlueCross BlueShield of Tennessee is seeking a Senior AI Engineer to lead the design, development, deployment, and support of advanced AI solutions across the healthcare payer ecosystem.
As part of the MLOps team, this position operates at the intersection of AI engineering, MLOps, and applied business problem-solving. The Senior AI Engineer will help evaluate and adopt emerging AI platforms, shape how AI solutions are architected and delivered, and collaborate with cross-functional teams to bring production-ready solutions to life. This role also plays a key part in mentoring engineers and establishing best practices for modern AI development.
Why This Role Is Exciting:
  • End-to-End Impact - Work across the full lifecycle, from use case discovery and prototyping to delivering enterprise-scale AI solutions
  • Hybrid AI Role - Engage across AI engineering, Generative AI, and MLOps in a single, high-impact position
  • Modern Technology Exposure - Work hands-on with LLMs, evaluation frameworks, observability tools, and cloud-native platforms
  • Cross-Functional Collaboration - Partner with business and technical stakeholders to solve real-world challenges
  • Influence & Ownership - Help define standards, delivery models, and enterprise AI architecture
  • Culture of Innovation - Thrive in an environment that encourages continuous learning, experimentation, and collaborative ideation

Note:
  • This is a fully remote role, but final interviews at our Chattanooga, TN headquarters will be required.
  • Sponsorship is available for this role.

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.

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.