AI/ML Engineer Data Analytics, MLOps & Data Science

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

Overview

On Site
$60 - $70
Accepts corp to corp applications
Contract - Independent
Contract - 6 Month(s)
10% Travel

Skills

Algorithms
Analytical Skill
Artificial Intelligence
Collaboration
Communication
Computer Vision
Conflict Resolution
Continuous Integration
Continuous Integration and Development
Data Analysis
Data Science
Machine Learning (ML)
Machine Learning Operations (ML Ops)
NumPy
Optimization
Pandas
Problem Solving
PyTorch
Python
Research
Scalability
TensorFlow
Workflow
scikit-learn

Job Details

Location: Austin, TX (Onsite)

Key Responsibilities
Design, develop, and deploy ML models using Python, TensorFlow, and PyTorch.
Perform advanced data analytics using Python libraries (NumPy, Pandas, Scikit-learn).
Implement MLOps best practices for continuous integration, deployment, and monitoring of machine learning pipelines.
Apply SRE principles to ensure performance, scalability, and reliability of AI/ML systems.
Research and apply computer vision algorithms to solve real-world problems.
Collaborate with data scientists, engineers, and business teams to translate business requirements into technical solutions.
Analyze large, complex datasets to generate actionable insights that support strategic initiatives.

Required Skills & Qualifications
Strong proficiency in Python programming.
Expertise in data analytics with NumPy, Pandas, and Scikit-learn.
Hands-on experience with AI/ML frameworks such as TensorFlow and PyTorch.
Knowledge of computer vision algorithms and their practical applications.
Practical understanding of MLOps workflows and tools.
Familiarity with SRE principles, system scalability, and deployment optimization.
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities.

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