AI Feature Engineer

at  MiTek USA Inc

JOB DESCRIPTION

Design and implement AI features and data pipelines for various AI-based products, models, and services.
This role will be hybrid if based near a MiTek office, with the option to be fully remote if not located near a MiTek office.

QUALIFICATIONS:

• Bachelors degree in a related Field required
• 3+ years of experience in developing and deploying AI features for various products and services required
• Proficient in Python and SQL required
• Proficient with parallel and distributed computing frameworks and platforms such as Spark, Cuda, Databricks required
• Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, or similar required
• Working knowledge of machine learning and deep learning concepts required
• Experience in applying AI techniques to various domains, such as natural language processing, computer vision, speech recognition, recommender systems, etc. required
• Experience in applying AI techniques to various domains, such as natural language processing, computer vision, speech recognition, recommender systems, etc. required
• Experience with AutoML tools and frameworks highly preferred
• Excellent communication, presentation, and problem-solving skills
• Ability to work independently and collaboratively in a fast-paced and dynamic environment

WHAT YOU WILL DO:

• Design, build, test, and maintain scalable and reliable data pipelines and architectures for a variety of AI models.
• Develop and implement architectures to prepare different forms/types (images, text, tabular, time series, etc.) of data for annotation, labeling, and monitoring purposes.
• Extract, transform, load, prepare, and troubleshoot data from various sources and formats, ensuring the quality and integrity of model features.
• Develop and implement data models, schemas, and structures to support AI models and algorithms.
• Work with large amounts of data to perform exploratory data analysis, and process the outputs from AI models for cloud and on-prem systems.
• Convert business requirements into functional and technical specifications.
• Design, develop, test, and deploy AI features using various machine learning and deep learning frameworks and tools.
• Collaborate with cross-functional teams of engineers, data scientists, AI Scientists, and business stakeholders to deliver data-driven solutions and features.
• Research and apply the best practices and latest advancements in AI, such as natural language processing, computer vision, speech recognition, and recommender systems.
• Document and communicate the AI feature specifications, architectures, and results to various stakeholders.
• Collaborate with other AI engineers and data scientists to share knowledge, ideas, and best practices.
• Provide technical guidance to peers and cross-functional team members.