Artificial Intelligence​/Machine Learning Engineer Austin

Job Title

Artificial Intelligence / Machine Learning Engineer I.

Austin, TX.

Hybrid - Onsite 4 days per week.

Starts with 12 Months Extendable / Renewable.

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

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, No
  
  SQL, 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.

• 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.

Regards,

Purnima Pobbathy

Senior Technical Recruiter

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