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ARTIFICIAL INTELLIGENCE/ MACHINE LEARNING ENGINEER (ONSITE), AUSTIN, TX

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Contract: 12+ Months

Deadline: 12/22/25

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/GCP) and container technologies (Docker/Kubernetes)

Preferred Skills:

  • 10 Yrs of 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.

Kavitha K