Remote AI / Machine Learning Specialist
Ta Staffing
Nashville, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Remote
Nashville, United States of America
Tech stack
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Cloud Engineering
Continuous Integration
Python
Machine Learning
Recommender Systems
TensorFlow
Search Technologies
SQL Databases
Unstructured Data
Google Cloud Platform
PyTorch
Large Language Models
Prompt Engineering
Generative AI
GIT
AI Platforms
Scikit Learn
Kubernetes
Information Technology
Machine Learning Operations
Data Pipelines
Software Library
Docker
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.
Requirements
- 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.
Benefits & conditions
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.