Proven success deploying models in production environments
Advanced degree in Computer Science, Data Science, or related field preferred
Responsibilities
Develop, train, and optimize machine learning and deep learning models
Collaborate with product, engineering, and data teams to leverage AI for efficiency
Build end-to-end ML pipelines for model development and deployment
Ensure responsible AI practices such as bias detection and model explainability
Stay updated on trends in generative AI, NLP, and computer vision
Benefits
Collaborative work environment across multiple teams
Opportunities to work on cutting-edge AI technologies
Support for continuous learning and professional development
Involvement in projects that drive significant impact across the enterprise
Emphasis on responsible AI practices
Full Job Description
The AI/ML Engineer is responsible for designing, building, and deploying intelligent systems that enable predictive insights, automation, and smarter decision-making across the enterprise. This individual operates at the intersection of data science, software engineering, and applied research - translating complex business problems into scalable machine learning solutions that deliver measurable impact.
Key Responsibilities:
Develop, train, and optimize machine learning and deep learning models using Python, R, TensorFlow, and PyTorch.
Partner with product, engineering, and data teams to identify opportunities where AI can drive efficiency or innovation.
Build end-to-end ML pipelines, from data ingestion and feature engineering to model deployment and monitoring.
Ensure responsible AI practices through bias detection, model explainability, and continuous model retraining.
Stay current on emerging trends in generative AI, NLP, and computer vision to drive future capabilities.
Ideal Background:
5-10 years of experience in applied AI/ML
Strong foundation in statistics, algorithms, and data engineering.
Proven success deploying models in production environments (e.g., AWS Sagemaker, Azure ML).
Advanced degree in Computer Science, Data Science, or related field preferred.
