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Remote Library Science Masters Jobs in Mount Juliet, TN

Moderna

Intern, CMC Development (Summer 2027)

Nashville, TN · On-site +1

$20 - $60/hr

The CMC Development organization at Moderna is looking for top talent in science and engineering to ... Current student enrolled in a Bachelors or Masters program in Chemical Engineering, Biochemical ...

Danaher

Senior Service Sales Specialist

Nashville, TN · On-site +1

$109K - $128K/yr

Are you ready to accelerate your potential and make a real difference within life sciences ... Bachelor's Degree with 2+ years of experience OR Masters Degree with 0-2 years of experience

Crowe LLP

Tax Manager, Healthcare

Nashville, TN · On-site +1

$95K - $195K/yr

Bachelor of Science in Accounting required; Masters in Taxation or LLM preferred * CPA or JD ... Commitment to continuous learning, innovation, and professional growth #LI-Remote #LI-Hybrid We ...

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Remote Library Science Masters information

See Mount Juliet, TN salary details

$27.4K

$56.5K

$88.7K

How much do remote library science masters jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote library science masters in Mount Juliet, TN is $56,503.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,900.00 and $74,100.00 per year, depending on experience, location, and employer.

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Remote Library Science Masters jobs near you

Remote AI / Machine Learning Specialist

TA Staffing

Nashville, TN • Remote

$115K - $140K/yr

Full-time

Re-posted 10 days ago

Job description

We're seeking an innovative AI / Machine Learning Specialist to help design, build, and deploy intelligent solutions that improve business performance and automate complex processes. In this fully remote role, you'll work with engineering, product, and business teams to develop machine learning models, optimize AI systems, and transform data into actionable insights.

What You'll Do

  • Design, develop, train, and deploy machine learning and AI models.
  • Build predictive models, recommendation engines, and intelligent automation solutions.
  • Analyze structured and unstructured data to identify patterns and business opportunities.
  • Develop and optimize large language model (LLM) applications and AI-powered workflows.
  • Collaborate with software engineers to integrate AI solutions into production environments.
  • Monitor model performance and continuously improve accuracy and efficiency.
  • Stay current with emerging AI technologies, frameworks, and industry best practices.

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field (Master's degree preferred).
  • Experience with Python and machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of large language models (LLMs), generative AI, prompt engineering, and retrieval-augmented generation (RAG).
  • Experience with SQL, data pipelines, and cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with APIs, Git, Docker, and MLOps practices.
  • Strong analytical thinking, problem-solving, and communication skills.
  • Ability to manage multiple AI initiatives in a fast-paced remote environment.

Preferred Experience

  • Experience deploying AI models into production environments.
  • Knowledge of vector databases, embeddings, and semantic search.
  • Experience building AI agents or workflow automation tools.
  • Familiarity with Kubernetes, CI/CD pipelines, and cloud-native architectures.
  • Experience working with enterprise AI platforms such as OpenAI, Anthropic, Google Vertex AI, or Amazon Bedrock.

Why Join Our Team?

  • 100% remote work from anywhere in the United States.
  • Competitive salary, annual bonus, and comprehensive benefits.
  • Work on cutting-edge AI and machine learning initiatives with real business impact.
  • Flexible work schedule and excellent work-life balance.
  • Ongoing professional development and access to the latest AI technologies.
  • Opportunities for rapid career growth as AI adoption continues to accelerate across industries.


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