Seeking a passionate, hands-on technical AI/ML engineer to join our growing team and solve exciting engineering problems in semiconductor space.

Requirements

Design and Develop ML Models for high impact engineering solutions
Build, train, and optimize machine learning and deep learning models to solve complex problems using natural language processing, computer vision, and predictive analytics
Knowledge of python, Pytorch, agentic frameworks, Langchain, RAG, capability to understand and build deep learning models on cloud or on premises compute
Data Collection and Preprocessing: Python preprocessing for structured and unstructured data [numeric, images, videos and documents)
Feature Engineering: Identify, extract, and transform relevant features from raw data to improve model performance and interpretability.
Model Evaluation and monitoring: Assess model accuracy and robustness using statistical metrics and validation techniques.
Deployment and Integration: Knowledge of Kubernetes, Flask, Ray Serve, Azure Devops, ONNX, or cloud-based solutions.
Research and Innovation: Stay abreast of the latest developments in AI/ML research and technologies.
Documentation and Reporting: Create comprehensive documentation of model architecture, data sources, training processes, and evaluation metrics.
Ethics and Compliance: Uphold ethical standards and ensure compliance with regulations governing data privacy, security, and responsible AI deployment.

Benefits

Equal Opportunity Employer
Consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law

Seeking a passionate, hands-on technical AI/ML engineer to join our growing team and solve exciting engineering problems in semiconductor space.

Design and Develop ML Models for high impact engineering solutions
Build, train, and optimize machine learning and deep learning models to solve complex problems using natural language processing, computer vision, and predictive analytics
Knowledge of python, Pytorch, agentic frameworks, Langchain, RAG, capability to understand and build deep learning models on cloud or on premises compute
Data Collection and Preprocessing: Python preprocessing for structured and unstructured data [numeric, images, videos and documents)
Feature Engineering: Identify, extract, and transform relevant features from raw data to improve model performance and interpretability.
Model Evaluation and monitoring: Assess model accuracy and robustness using statistical metrics and validation techniques.
Deployment and Integration: Knowledge of Kubernetes, Flask, Ray Serve, Azure Devops, ONNX, or cloud-based solutions.
Research and Innovation: Stay abreast of the latest developments in AI/ML research and technologies.
Documentation and Reporting: Create comprehensive documentation of model architecture, data sources, training processes, and evaluation metrics.
Ethics and Compliance: Uphold ethical standards and ensure compliance with regulations governing data privacy, security, and responsible AI deployment.

Equal Opportunity Employer
Consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law