We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges.

Knowledge of software and algorithm development, machine-learning algorithm development, or artificial intelligence techniques applied to digital RF signal processing, RF engineering or spectrum theory, communication systems, electronic warfare, SIGINT processing, or related areas.

Experience with cognitive computing, data integration, data mining, Natural Language Processing, Hadoop platforms, or automating machine learning components. This is a chance to use your deep OS knowledge and broaden your skill set into areas like Cloud computing, large-scale data ingestion and processing, multiple data store types, including graph data, time series, spatial, and other NoSQL, high performance data streaming, data science, and supporting the integration of novel mission applications and analytics.

Deep expertise in one or more data science specialties, such as natural language processing, computer vision, or deep learning. + Develop models and solutions for problem sets in a broad range of data science areas, including but not limited to natural language processing, graph analytics, computer vision, anomaly detection, data visualization, and metrics creation.

Certifications and specialization in IT Ops, Infrastructure, APM, Data Engineering, Machine Learning, Data Infrastructure. Demonstrate technical authority by proficiently articulating complex technical solutions in clear language, effectively persuading the audience to embrace recommended best practices while presenting and delivering Elastic's optimal solutions.

Job Description: Parsons is seeking motivated individuals dedicated to solving a full spectrum of signal processing challenges in Herndon, VA for SIGINT, EW, Radar, and Communications Systems.

Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.

Experience utilizing CUDA and NVIDIA GPU accelerated libraries for AI, machine learning, and deep learning tasks. Experience with deep learning and machine learning libraries including PyTorch, TensorFlow, Keras, and scikit-learn.

Minimum of 8 years of hands-on experience as a data quality engineer, imagery analyst, GIS analyst, or quality assurance engineer in the space of satellites, computer vision, or machine learning.

Master`s Degree in geography, computer science, GIS, information systems, environmental science, natural resources, forestry, or a related STEM field. Bachelor's Degree in geography, computer science, GIS, information systems, environmental science, natural resources, forestry, or a related STEM field.

Full Stack Development experience, including experience with Python, Django web applications, REACT web applications or other Javascript frameworks, RESTful API architecture, and incorporating machine learning models into web apps.

Coordinate with Engineering department on set-up of press brake, CNC plasma. MACHINE OPERATION: Set up and operate fabrication machinery, including CNC machines, lathes, mills, presses, and other tools to cut, shape, and form metal or plastic parts.

A master’s or PHD degree in electrical engineering - Proficiency in hardware description languages (Verilog, VHDL) and FPGA development tools (Xilinx Vivado, Intel Quartus, etc. We are seeking a qualified candidate for the role of FPGA Engineer who will be responsible for designing, implementing, and testing FPGbased solutions for critical signal processing applications.

Full-Time/Regular Johnson, Mirmiran & Thompson is a dynamic, 100% employee-owned consulting firm of more than 2,000 professionals that provides a full range of multi-disciplined engineering, architecture, information technology, and related services to public agencies and private clients throughout the United States.

Demonstrated experience with machine learning techniques including natural language processing and computer vision. Highly desired, though not required, include: Skills and demonstrated experiences that are highly desired but not required to perform the work include: Demonstrated experience with cloud services, such as AWS. Demonstrated experience using big data processing tools such as Apache Spark or Trino.