Drive innovation of our AI/ML initiatives by designing, developing, and deploying scalable machine learning models and AI-driven solutions.
Requirements
- Strong proficiency in Python, and AI/ML frameworks (PyTorch, Scikit-Learn, etc.).
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Hands-on experience with big data technologies (Spark, Databricks) and data pipeline development.
- Strong understanding of deep learning and computer vision,
- Knowledge of MLOps tools and CI/CD workflows for AI/ML applications.
- Experience with generative AI models, transformers, or LLMs (e.g., OpenAI, Hugging Face).
- Familiarity with edge AI and IoT-driven machine learning solutions.
Responsibilities
- Design, build, and optimize machine learning models for computer vision, inspection, predictive analytics, NLP, or other AI-driven applications.
- Develop and maintain scalable AI/ML solutions, integrating them into production systems.
- Implement data preprocessing, feature engineering, model training, evaluation, and tuning.
- Leverage cloud platforms (AWS, Azure, GCP) for AI/ML model training and deployment.
- Implement MLOps best practices for continuous integration, deployment, and monitoring of ML models.
- Optimize model performance in terms of accuracy, speed, and scalability.
- Analyze large datasets to extract meaningful insights and drive business decisions.
Other
- This position qualifies for the Flexible Work Policy. Employees receive 75 work days annually to work from home!
- Mentor junior engineers
- Excellent problem-solving, leadership, and communication skills.
- Office deskwork, requiring sitting, walking, using phone & computer
- May lift up to 30 lbs. occasionally
