AI/MIL Engineer - Austin, TX, onsite job. (local to Austin only).

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2

Skills

Amazon Web Services
Artificial Intelligence
Data Security
Documentation
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Management
Meta-data Management
NoSQL
NumPy
Google Cloud Platform
Good Clinical Practice
Problem Solving
Knowledge Sharing
Cloud Computing
Algorithms
API
Collaboration
Communication
Conflict Resolution
Continuous Delivery
Continuous Integration
Data Governance
Data Management
Data Structure
Data Warehouse
Databricks
Deep Learning
Docker
Evaluation
Kubernetes
Microservices

Job Details

We are looking for a Artificial Intelligence/Machine Learning Engineer for an Austin, TX, onsite job. (local to Austin only). Please find the job details below

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.

Minimum Yrs of Experience, Skills, and Qualifications
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)
Excellent problem-solving abilities and communication skills

Preferred Skills and Qualifications
Understanding of MLOps tools and CI/CD pipelines
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.

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