AI/ML Engineer

Calibro Corp. • Full-time • Austin, TX, US • 5m ago

This is a hybrid role in Austin, TX.

Are you passionate about leveraging cutting-edge AI and machine learning technologies to drive innovation and solve complex challenges? Do you thrive in environments that foster creativity, autonomy, and continuous learning? If so, we have an exciting opportunity for you to join our team as an AI/Machine Learning Engineer.

As an AI/ Machine Learning Engineer, you will play a pivotal role in shaping the future of our organization through the strategic application of AI and Machine Learning solutions. In this dynamic role, you will have the unique opportunity to exercise full autonomy in developing strategies, generating ideas, and implementing solutions that drive tangible business impact.

We believe in empowering our team members to push boundaries, explore new possibilities, and pioneer breakthroughs in AI and Machine Learning. As such, you will have the freedom to drive innovation, experiment with AI/ Machine Learning approaches, and collaborate with cross-functional teams to deliver transformative solutions that propel our organization forward.

If you are a self-motivated, forward-thinking individual with a passion for AI and Machine Learning, and you thrive in environments that encourage autonomy and initiative, we invite you to join us on our journey to revolutionize the way we leverage technology to shape the future.

JOB DESCRIPTIONJob Responsibilities:

AI Integration Strategy:
- Collaborate with the Product and Engineering teams to identify opportunities for integrating machine learning and artificial intelligence into our platform.
- Collaborate with the Product team to design a strategic roadmap for the adoption of machine learning technologies, aligning with our product vision and roadmap.
Data Analysis and Modeling:
- Analyze existing data sets to identify patterns, trends, and insights that can inform machine learning model development.
- Design, implement, and iterate on machine learning models to address specific business challenges and enhance product functionality.
- Stay abreast of the latest advancements in machine learning and AI, integrating new techniques and technologies into our development process.
Data Infrastructure:
- Work closely with the Data Pipeline Engineering team to ensure a robust and scalable data infrastructure that supports the training and deployment of machine learning models.
- Collaborate on data preprocessing and feature engineering to enhance the quality of input data for machine learning models.
Model Deployment and Monitoring:
- Implement strategies for deploying machine learning models into production environments.
- Establish and maintain monitoring systems to track the performance of deployed models and facilitate continuous improvement.
Communication:
- Communicate findings, insights, and recommendations to both technical and non-technical stakeholders in a clear and accessible manner.

Qualifications:

Master's degree in Machine Learning, Data Science, Statistics, or a field closely related to AI and Machine Learning
Proven experience in developing and deploying machine learning models.
Proficiency in Python, and familiarity with relevant libraries and services (e.g., TensorFlow, PyTorch, Scikit-Learn, Sagemaker). Proficiency with SQL is a strong plus.
Strong understanding of data analytics, statistical analysis, and data visualization.
Experience with AWS data technologies (S3, Athena, Glue) is a plus.
Excellent problem-solving skills and the ability to work independently as well as collaboratively in a team.

Benefits