Strong programming skills in Python; experience with Machine Learning libraries and frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, Py Torch, scikit-learn) and LLMs. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP.

Introduction to Allen Bradley Drive Tools software to assist the electrician in maintaining, installing, configuring, setting up parameters, and establishing communication with VFDs. Promotes the development of the Operator Interface software (Wonderware) for maintenance, machine health, and reliability.

This role requires expertise in data-oriented programming languages and visualization software, as well as proficiency in data mining, data modeling, natural language processing (NLP), and machine learning (ML) to extract and analyze information from large structured and unstructured datasets.

To lay audiences Preferred skills: experience designing and maintaining RDBMS using PostgreSQL including the application of proper data modeling principles and database tuning at scale Preferred skills: experience with Linux operating system and with shell scripting (i.e., bash, PowerShell) Preferred skills: familiarity of advanced data analysis techniques (i.e., natural language processing, machine learning, etc.

Significant coursework or professional experience in machine learning, deep learning, NLP, computer vision, predictive modeling and forecasting, statistics, or similar analytic domain. The Data Engineer should be versed in statistics, predictive modeling, machine learning, computational simulation, geospatial modeling, network science, or other analytic techniques.

Familiar with PySpark dataframe and data processing libraries, machine learning frameworks (like Tensorflow, Keras or PyTorch), and other machine learning libraries. Bachelors degree with 2 years Data Engineering and/or and Software Engineering experienceOr.

Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Formal training or certification on software engineering concepts and 3+ years applied experience.

Contributes to software engineering communities of practice and events that explore new and emerging technologies. Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.

You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. If you find image processing is not just about coding, if you are comfortable with using convenient software (e.g., Photoshop, GIMP, ImageJ, etc.

AI technologies (Machine Learning, Deep Learning, Natural Language Processing); Artificial Intelligence and Robotics, Analytics, Computer and Information Science, Computer Applications, Computer Engineering, Computer Management, Statistics, Software App, Management Information Systems, Information CyberSecurity, Information Technology.

However, it is typically filled by a Senior Software Engineer or a Senior Data Science/Machine Learning Engineer. The Solutions Architect will support United States Operations Command (SOCOM) in the maintenance and DevSecOps of the cloud environment.

Responsibilities Job Description: The Solutions Architect will support United States Operations Command (SOCOM) in the maintenance and DevSecOps of the cloud environment. Shall have a minimum of fourteen (14) years of experience in the Information Technology field, DevSecOps, AI/ML engineering projects, and technical architecture specifically.

Entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.

Machine Learning Engineer responsibilities include creating machine learning models and retraining systems To do this job successfully you need exceptional skills in statistics and programming If you also have knowledge of data science and software engineering we d like to meet you.

Understanding of software skills such as business analysis, development, testing and software improvement. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.