Job Description

Are you passionate about building intelligent solutions that push the boundaries of what's possible? Do you want to work in a vibrant and collaborative environment with cutting-edge technology? If so, this opportunity is for you!

Join us as an AI/ML Engineer, where you’ll contribute to groundbreaking projects that solve real-world challenges. From designing sophisticated machine learning models to deploying AI-driven solutions, your expertise will be integral to shaping the future of innovation.

Your Role

As an AI/ML Engineer, you will:

• Develop Innovative Models: Design, train, and optimize machine learning models to address complex business problems.
• Implement AI Solutions: Build and deploy AI applications, leveraging frameworks like TensorFlow, PyTorch, and others.
• Data-Driven Engineering: Work with large datasets to extract insights and enable predictive and prescriptive analytics.
• Collaborate Across Teams: Partner with cross-functional teams, including data scientists, engineers, and product managers, to deliver impactful AI-driven solutions.
• Continuous Learning: Stay ahead of the curve by experimenting with the latest in AI/ML trends, tools, and methodologies.

What You Bring to the Team

Must-Haves:

• Strong foundation in machine learning algorithms, data structures, and model optimization.
• Proficiency in programming languages like Python, R, or Java, with experience in libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Hands-on experience with cloud platforms like AWS, Google Cloud, or Azure for AI/ML deployment.
• Expertise in data preprocessing, feature engineering, and pipeline automation.
• A collaborative mindset with the ability to communicate technical concepts to non-technical stakeholders effectively.

Preferred Qualifications:

• Prior experience in deploying scalable AI solutions in production environments.
• Familiarity with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
• Knowledge of tools like Docker, Kubernetes, and CI/CD pipelines.
• A degree in Computer Science, Data Science, or a related field.

Why You’ll Love Working Here

• Hybrid Flexibility: Work from the comfort of home while staying connected with a collaborative team in Austin, TX.
• Cutting-Edge Projects: Be part of innovative projects where your contributions directly shape the future of AI.
• Competitive Compensation: $60/hour on W2, with the potential to extend based on performance.
• Growth Opportunities: Sharpen your skills and expand your expertise in a fast-paced and supportive environment.