AI Engineer

About EPIC IO Technologies

We are at the forefront of technology, empowering businesses to thrive in the digital age by harnessing the transformative potential of 5G-ready connectivity and AI + IoT solutions.

We are dedicated to making businesses safer, smarter, and more connected through our innovative software-focused approach. Our cutting-edge open AI platform, DeepInsights™, is the cornerstone of our mission.

At EPIC iO, we don’t just provide solutions; we co-create opportunities for growth and success. We are more than a technology provider; we are your trusted partner on the journey to a safer, smarter, and more connected future.

Why our team?

• Bring your skills and knowledge to an innovative and growing workplace
• Work and collaborate with a team who has become one of the best in the industry
• Use industry-leading technology and the best tools available to ensure success
• Work in a stable industry with strong growth potential
  
  

At EPIC iO, we are seeking an AI Engineer to our technology team. This role offers the opportunity to research, develop, and deploy AI models that enable the creation of image and video processing algorithms and applications. The ideal candidate will have experience in training detection, classification, and segmentation models with PyTorch/TensorFlow, as well as optimizing models with OpenVINO. Additionally, they should have a strong understanding of mathematics, probability, statistics, and algorithms, along with advanced skills in Python and experience using libraries such as OpenCV, NumPy, and Scikit-learn.

Responsibilities & Tasks

• Evaluate and improve the existing data infrastructure and architecture for diverse use cases, including examination of the current EPIC system for identifying areas of enhancement.
• Engage in research and innovation, exploring state-of-the-art techniques and methodologies to ensure the developed applications remain at the forefront of technological advancement.
• Curate and prepare datasets required for training and evaluating machine learning and deep learning models, involving data acquisition, cleansing, and organization to ensure suitability for model training and evaluation.
• Utilize machine learning and deep learning techniques to train and evaluate models tailored for image and video processing tasks.
• Optimize machine learning and deep learning models to enhance performance metrics such as precision and throughput, encoming parameter adjustments, exploration of alternative architectures, and implementation of optimization techniques for superior results.
• Implement computer vision algorithms for preprocessing data, ensuring proper transformation and standardization of input data before feeding it into the models.
• Implement strategies to ensure system scalability and adaptability to variable workloads and environments.
• Productize machine learning and deep learning models by developing APIs or Python modules for seamless integration into existing platforms.
  
  

Required Qualifications

• Training Detection/Classification/Segmentation Models with PyTorch/TensorFlow: Experience in training deep learning models for detection, classification, and segmentation tasks using libraries such as PyTorch and TensorFlow.
• Model Optimization with OpenVINO: Experience in optimizing deep learning models using the Intel OpenVINO tool.
• Use of Docker, Nvidia-Docker, and Containers for Computer Vision/Deep Learning: Experience in using Docker containers and Nvidia-Docker for creating reproducible and portable development environments for computer vision and deep learning applications.
• Proficiency in Mathematics, Probability, Statistics, and Algorithms: Strong understanding of fundamental mathematical concepts, probability, statistics, and algorithms, essential for the development and optimization of machine learning models.
• Programming Language: Python: Proficiency in the Python programming language, utilized in the development of machine learning and computer vision applications.
• Python Libraries: OpenCV, NumPy, Scikit-learn: Experience in using popular Python libraries for computer vision and machine learning, including OpenCV, NumPy, and Scikit-learn.
  
  

Desired Qualifications

• Experience working with classical computer vision techniques
• Experience with Python for Machine Learning or Big Data (Pandas, Spark).
• Another deep learning framework: Caffe, Keras.
• Another model optimization framework: TensorRT.
• Knowledge of image and video formats and compression algorithms.
  
  

Equal Employment Opportunity

EPIC iO provides equal employment opportunities to all qualified individuals without regard to race, color, religion, sex, gender identity, sexual orientation, pregnancy, age, national origin, physical or mental disability, military or veteran status, genetic information, or any other protected classification. Equal employment opportunity extends to all aspects of employment, including, but not limited to, recruitment, hiring, training, promotion, demotion, transfer, leaves of absence, and termination. EPIC iO takes allegations of discrimination, harassment, and retaliation seriously and will promptly investigate such behaviors.