Relevant areas of experience might include deep learning techniques, systems software, high performance computation, numerical algorithms, data science, cheminformatics, medicinal chemistry, structural biology, molecular physics, and/or quantum chemistry, but specific knowledge of any of these areas is less critical than intellectual curiosity, versatility, and a track record of achievement and innovation in the field of machine learning.

Experience with AirFlow, Beam, Spark, BigQuery and other cloud based and distributed technologies to scale machine learning models and workflows will be an asset. Experience with various supervised and unsupervised machine learning methodologies in areas common to the business such as anomaly detection, time series forecasting, clustering, event prediction, and other areas.

We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.

As a media designer, my day to day consists of processing, tracking, and fulfilling media requests submitted by ACS Learning & Development and at times, other departments. For example, producing all the videos that appear in QLX our Quarterly Learning Product.

Current research themes include intelligent tutors, virtual assistants, smart textbooks, adaptive and personalized learning, self-directed learning, machine teaching, and theory of mind.

Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths. Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.

Established in 2020, Rialtic is supported by prominent investors such as Oak HC/FT, F-Prime Capital, Health Velocity Capital, and Noro-Moseley Partners.

Experience in understanding business issues of large CSP, accelerated Computing/ Data Center technology/ Deep learning & machine learning. Experience with deep learning, data science, and NVIDIA GPUs.

Our research portfolio addresses a multitude of functionalities, from structural load-bearing applications to energy storage and harvesting; and electronic, photonic, and opto-electronic devices to drug delivery and mimicking nature; and developing sustainable processing approaches to machine learning and in-situ structure characterization for materials discovery.

Strong technical background and leadership experience in national security research applications, including several of the following key areas around electromagnetic spectrum operations and intelligent systems: electronic warfare (EW), radar, antennas, electromagnetics, systems engineering, artificial intelligence, machine learning, acoustics, physical phenomenology, robotics, command and control, network communications, software and hardware development, and signal and data processing, etc.

Established in 2020, Rialtic is supported by prominent investors such as Oak HC/FT, F-Prime Capital, Health Velocity Capital, and Noro-Moseley Partners.

Design and implement data science projects, including predictive modeling, machine learning, and statistical analysis, to optimize operations and support strategies. Experience with machine learning, modeling, algorithms, and knowledge extraction.

Qualified candidates are passionate about Machine Learning and Artificial Intelligence, excel in problem-solving, and combine an advanced business or technical degree with management consulting or product management experience.

Generate program interactive, SCORM-compliant webinars, micro-learning and full-length eLearning courses in eLearning authoring tools (e.g., Adobe, Captivate, Camtasia, Articulate Storyline) Create online, interactive training materials in various formats, such as printable job aids, instructor-led (virtual and in-person), micro-learning, videos, and eLearning courses.

Responsible for ACS enterprise data and analysis architecture, providing executive thought leadership and architecture services for all aspects of data services, including data platforms, advanced analytics, data visualizations, geospatial information services, real-world data acquisition and integration, and machine learning/AI activities.