All visa's fine - Local to Austin - AI /ML Engineer - Austin, TX ONSITE

Overview

On Site
$30 - $40
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Artificial Intelligence/Machine Learning Engineer

Job Details

Reply requested for below job form TXDoT

Artificial Intelligence/Machine Learning Engineer

Austin, TX ONSITE

Data Preparation & Integration:

Collect, clean, and transform data from multiple sources.

Assist with ETL pipelines and improve workflow efficiency.

Analytics & Modeling:

Support predictive models and statistical analysis.

Perform exploratory data analysis to generate business insights.

Collaboration:

Work with senior team members on projects.

Join code reviews and contribute to documentation.

1-2 years of academic or internship work in data projects.

Understanding of data engineering and analytics methods.

Hands-on with machine learning frameworks and deep learning concepts (CNNs, RNNs, transformers).

Experience with NLP libraries (spaCy, Hugging Face) and MLOps tools (Docker, Kubernetes, MLflow).

Skilled in feature engineering for large datasets, using cloud AI services, and evaluating predictive models.

Interest in generative AI and LLMs.

Python 1-3+ years production experience, this is your primary language

AI/ML Production - Built and deployed 1-3+ ML models serving real users, not just experiments

Cloud Platforms - Experience with AWS, Azure, Google Cloud Platform, or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major cloud providers (Azure AI, AWS SageMaker/Bedrock, Google Cloud Platform Vertex AI, OCI AI Services)

DevOps - Docker and Kubernetes experience

Databases - SQL (PostgreSQL, MySQL) and NoSQL/vector databases

Scripting - Proficient in both Bash and PowerShell for automation

Command Line Interface (CLI) 1-3+ years production experience working in CLI terminal.

Preferred Skills and Qualifications

CI/CD Experience: Azure DevOps, GitHub Actions, Jenkins, or similar automation pipelines

Computer Vision: Production CV experience with PyTorch/TensorFlow, OpenCV, object detection, segmentation, or real-time inference

Additional Languages: Go or Rust experience for performance-critical components

Feature stores (Feast, Tecton) or advanced feature engineering

Model optimization: quantization, pruning, knowledge distillation

Edge deployment or resource-constrained model deployment

Experiment frameworks for A/B testing ML models

Contributions to open-source ML projects

Real-time streaming data processing (Kafka, Kinesis

Regards,

VIJAY KUMAR A

Sr. Technical Recruiter

Contact: +1 Ext 119

vkm

Cynosure Technologies, LLC

2401 Fountain View D, STE 502, Houston TX 77057

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