ZipRecruiter

Log In

2

Remote Machine Learning Ops Engineer Jobs in Tennessee

Deloitte

AI and Data Science Engineer III

Nashville, TN · On-site +1

$110K - $132K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

Hitachi

Applications Engineer II

Nashville, TN · On-site +1

Engineering & Science Job Schedule: Full time Remote: No JR Automation, a Hitachi Group Company ... Aiding in the Mentorship of Less Experienced Apps Engineers, Co-ops & Interns Responsibilities:

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 ...

Premise Health

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

The Data Scientist leverages machine learning, statistical modeling, and modern AI techniques to ... Build generative AI solutions including prompt engineering pipelines and LLM-based classification

Revecore

Senior Data Engineer-JT0224

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 ...

FedEx Dataworks

Director, Engineering

Memphis, TN · On-site +1

Extensive knowledge in data engineering and machine learning frameworks including design, development and implementation of highly complex systems and data pipelines. Extensive knowledge in ...

UnitedHealth Group

Lead Software Engineer

Brentwood, TN · Remote

$112K - $193K/yr

... ops * 2 years of experience with production operational support * 2 years of experience with ... Machine Learning) * Instrumenting apps with Azure App Insights, and creating effective alarms and ...

New

Relativity

Principal Applied Scientist

Nashville, TN · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Algorithms, Data Analysis, Machine Learning (ML), Natural Language, Python (Programming Language ...

next page

Showing results 1-20

All JobsMachine Learning Ops Engineer JobsRemote Machine Learning Ops Engineer JobsRemote Machine Learning Ops Engineer Jobs in Tennessee

Remote Machine Learning Ops Engineer information

What are popular job titles related to Remote Machine Learning Ops Engineer jobs in Tennessee? For Remote Machine Learning Ops Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Ops Engineer jobs in Tennessee look for? The top searched job categories for Remote Machine Learning Ops Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Machine Learning Ops Engineer jobs? Cities in Tennessee with the most Remote Machine Learning Ops Engineer job openings:
Remote Machine Learning Ops Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Chattanooga, TN • Remote

Other

Posted 18 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply