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Artificial Intelligence​/Machine Learning Engineer

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Themesoft Inc.
Full Time position
Listed on 2025-12-27
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Engineer
Salary/Wage Range or Industry Benchmark: 90 - 100 USD Hourly USD 90.00 100.00 HOUR
Job Description & How to Apply Below
Position: Artificial Intelligence / Machine Learning Engineer I.

Artificial Intelligence / Machine Learning Engineer I

Location: Austin, TX

Employment Type: Contract (Long term Contractual: Starts with 12 months – Extendable/Renewable)

Pay Range: $90.00/hr - $100.00/hr

Responsibilities
  • Gather, clean, and preprocess both structured and unstructured data for use in AI/ML workflows.
  • Apply data governance standards, conduct quality checks, and handle metadata management tasks.
  • Manage large datasets utilizing SQL, No

    SQL, and distributed data technologies.
  • Build, train, and validate machine learning models using tools such as AutoML, deep learning, and reinforcement learning frameworks.
  • Enhance models for improved performance, scalability, and accuracy.
  • Employ feature engineering and model evaluation strategies.
  • Support the design of AI/ML architectural solutions that comply with enterprise guidelines.
  • Deploy models into production settings by leveraging APIs, microservices, or containerized approaches.
  • Aid deployments on cloud services (AWS, Azure) and make use of MLOps methodologies.
  • Collaborate with multidisciplinary teams, including data engineers, analysts, and business partners.
  • Maintain records of workflows, models, and architecture choices to facilitate knowledge sharing.
Qualifications
  • 2 years of AI/ML development.
  • 2 years of data management experience.
  • 2 years experience using Python and associated libraries (Pandas, Num Py, Tensor Flow, PyTorch).
  • Solid grasp of data structures, algorithms, and relational database concepts.
  • 1 year experience with cloud platforms (Azure/AWS/GCP) and container technologies (Docker/Kubernetes).
  • Excellent problem-solving abilities and communication skills.

Candidates must be authorized to work in the U.S. without current or future sponsorship requirements.

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