AI/ML Data Management

  • Austin, TX
  • Posted 1 hour ago | Updated 1 hour ago

Overview

On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

AI/ML Engineer
Data Management
Python
SQL
Cloud
Docker
Kubernetes

Job Details

Role: AI/ML Data Management

Duration: 12+ Months

Location: Austin, TX 78744 (This role requires onsite presence 4 5 days per week. Candidates must reside in the Austin area and be authorized to work in the U.S.)

Job Description:

  • Data Management & Preparation
  • 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, NoSQL, and distributed data technologies.
  • AI/ML Development
  • 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.
  • Architecture & Integration
  • 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.
  • Collaboration & Documentation
  • Collaborate with multidisciplinary teams, including data engineers, analysts, and business partners.
  • Maintain records of workflows, models, and architecture choices to facilitate knowledge sharing.

Required Skills:

  • 2 years of AI/ML development
  • 2 years of data management experience
  • 2 years experience using Python and associated libraries (Pandas, NumPy, TensorFlow, PyTorch)
  • Solid grasp of data structures, algorithms, and relational database concepts.
  • 1 year experience with cloud platforms (Azure/AWS/Google Cloud Platform) and container technologies (Docker/Kubernetes)

Preferred Skills:

  • Understanding of MLOps tools and CI/CD pipeline
  • Familiarity with Data Warehouse solutions like Snowflake, DataBricks, and Oracle
  • Background in API design and RESTful service development
  • Awareness of data security and compliance standards.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.