Data Science & Machine Learning Jobs

Review potential/released opportunities for personnel requirements, inclusive of Key Personnel, LCAT requirements, certifications/education and any disincentives associated with a bid.. Deep knowledge of cloud platforms like AWS, Microsoft Azure, and Google Cloud Platform.. Experience in big data tools such as Hadoop, Spark, and Elasticsearch.. Advanced understanding of data analytics, visualization tools (Tableau, Power BI), and predictive modeling techniques.. Possess Secret clearance with ability to obtain a TS clearance.

Our flexible and unified technology stack comprises a demand-side platform (DSP) and supply-side platform (SSP), with the Nexxen Data Platform at its core. Were looking for a self-directed, analytical, and curious Senior Data Scientist with 5+ years of hands-on experience to join our team working on the core optimization and bidding logic of the Nexxen Demand-Side Platform (DSP). Experience with Scala/Apache Spark for distributed data processing and machine learning at scale. Familiar with Deep Learning using frameworks such as PyTorch/Tensorflow. We offer a variety of benefits including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, unlimited vacation, and company-paid holidays.

We're committed to innovating at the Edge: Harnessing the latest advancements in cyber, artificial intelligence, and machine learning to stay ahead of emerging threats and opportunities.. The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges.. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance.. A Master's or Ph. D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university is required.. Desired Skills: Linux, JAVA, JUnit, JSON, REGEX, IntelliJ, NetBeans, and Eclipse, GitLab, Confluence, and Jira. Python helpful, but not necessarily required.

We are looking for a highly motivated software engineer to partner with our network and security group to develop software, support ongoing projects, and develop code.. Experience in web development using Grails/Groovy, Spring Boot, and/or Python (pyramid, flask, django) frameworks. Experience in machine learning libraries (e.g., TensorFlow, Keras, PyTorch), text analytics tools (e.g., spaCy), and/or Big data tools and frameworks (e.g., Kafka, Solr, Spark, Storm) is a plus. A degree (BS, MS) in the areas of Computer Science, Computer Engineering and/or Electronic Engineering. IAI’s core R&D areas include: Air Traffic Management, Big Data and Social Media Analytics, Control and Signal Processing, Cyber Security, Education and Training Technologies, Health Technologies, Modeling and Simulation, Networks and Communications, Robotics, and Sensor Systems.

Senior Research Scientist - Radio Frequency Machine Learning (RFML). Strong digital signal processing skills and RF domain knowledge.. Experience with machine learning frameworks (e.g., Keras, TensorFlow, PyTorch).. This role requires 100% on-site work in College Park, MD or Laurel, MD.. Desired: Familiarity with SDR platforms (e.g., USRPs) and software (e.g., GNU Radio) is beneficial.

Job Description 10+ years experience with 3+ years of experience in designing big data solutions using Hadoop technology ecosystem. Lead the tool selection, technical design, development, testing, implementation, and support of key projects implementing Big Data technologies with client's data centers or on cloud providers like Amazon Web Services.. Research and evaluate technical solutions including various Hadoop distributions, NoSQL databases, data integration and analytical tools with a focus on enterprise deployment capabilities like security, scalability, reliability, maintainability, etc. Significant programming experience in multiple languages like Python, Java, Ruby, C#, etc.. Thorough knowledge of data integration technologies like Informatica (PowerCenter, IDS), Denono, etc

Principal Engineer, Data Strategy Data Science The Principal Engineer, Data Strategy is a subject matter expert role that requires a profound technical background in data management, software development, and data science.. The Principal Engineer will work closely with cross-functional teams to identify business needs and architect innovative solutions that meet those needs at scale.. Skills: Programming Expertise: Expert proficiency in Python, SQL, and other relevant programming languages.. Innovation: A deep passion for emerging technologies and continuous learning in the field of data science, machine learning, and software development.. Data Science Tools & Technologies: Experience with data science and machine learning frameworks such as pandas, NumPy, scikit-learn, TensorFlow, and PyTorch.

The Health Data Scientist is responsible for acquiring and transforming clinical & health data from Inovalon’s specialty pharmacy platform and database.. To do so, the Health Data Scientist must extract and interpret insights from data, and accordingly identify trends and meaningful insights which will inform the maintenance and implementation of artificial intelligence algorithms used on Inovalon’s specialty pharmacy platform.. The Health Data Scientist is therefore tasked with transforming a developed statistical or machine learning model into a working system that can be used to make predictions or insights, streamline business processes, and improve customer experience.. Automate business process, optimize customer experiences, generate revenue, perform patient targeting and other business outcomes, using sophisticated artificial intelligence (AI) algorithms, cutting edge deep learning/machine learning (DL/ML) and data models to automating business process, optimizing customer experiences, revenue generation, patient targeting and other business outcomes.. Applicants must have 2 years of experience with the following: (1) Developing Data-driven solutions; (2) modern machine/deep learning frameworks (including TensorFlow, KIeras, and Xgboost); (2) neural networks and NLP; (3) machine learning; (4) python, SQL, and regular expressions; (5) cloud deployment and web development on AWS and Microsoft Azure; (6) latex documenting; and (7) C

We are looking for a highly skilled NLP Data Scientist / Developer to design and implement natural processing solutions for real-world problems.. Work with state-of-the-art models (e.g., BERT/DeBERTa, spaCy, LLM APIs) and apply transfer learning techniques.. Experience with machine learning libraries like TensorFlow/PyTorch.. Bachelor’s or Master’s degree in Data Science, Computational Linguistics, Machine Learning, Applied Mathematics, Statistics, Computer Science or a related field.. Experience working with cloud platforms (AWS, Azure, GCP) and containerization (Docker).

We are looking for a highly skilled NLP Data Scientist / Developer to design and implement natural language processing solutions for real-world problems.. Work with state-of-the-art language models (e.g., BERT/DeBERTa, spaCy, LLM APIs) and apply transfer learning techniques.. Experience with machine learning libraries like TensorFlow/PyTorch.. Bachelor’s or Master’s degree in Data Science, Computational Linguistics, Machine Learning, Applied Mathematics, Statistics, Computer Science or a related field.. Experience working with cloud platforms (AWS, Azure, GCP) and containerization (Docker).

AI/Machine Learning Engineer, Manager Consultant. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape.. Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.. Skills in data visualization and storytelling with data.. Tagged as: Big Data , Data Visualization , Industry , Natural Language Processing , NLP , United States

Join to apply for the Machine Learning Engineer - COBRA role at Mission Technologies, a division of HII. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.. Huntington Ingalls Industries (HII) Mission Technologies Warfare Systems partners with the DoD and defense innovation ecosystem to rapidly acquire and field critical and emerging technologies, particularly integrated communications, networking, and Systems-of-Systems (SoS) technologies, to enhance national security and warfighter capabilities.. 5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in realted field; 0 years experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 9 years relevant experience.. Junior Software Engineer - Fully Cleared (Prime) Annapolis Junction, MD $127,000.00-$167,000.00 2 weeks ago

7+ years of experience in Amazon Web Service(AWS) Cloud Computing.. Experience with PySpark, Apache Spark, and Python.. Experience with SQL and NoSQL databases (DB2, PostgreSQL, Snowflake, etc. Software Engineer - 2 (Python Developer) Data Engineer - Multiple Levels (TS/SCI with Poly Required) Dayton, MD $95,000.00-$155,000.00 1 year ago. Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Big Data Engineer (Remote, Top Secret Clearance Required) (Baltimore) Agile Developer - 5 (Java/Spring Boot/Python) Annapolis Junction, MD $228,000.00-$293,000.00 1 week ago

Become a part of our caring community and help us put health first. Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts.. Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).. Knowledge of natural language processing (NLP).. Familiarity with big data and data streaming technologies (e.g., Hadoop, Spark, kafka).

NET, LINQ, gRPC), communication protocols (e.g., WS-Biometric Devices, RTP/RTSP, WebRTC, HTTPS Live Streaming), and database systems (e.g., Oracle, MySQL, PostgreSQL, MongoDB, Elasticsearch).. Experienced in working with web services (RESTful and SOAP APIs), cloud platforms (e.g., AWS, Azure, GCS), and network infrastructure (e.g., routers, switches, web/database/mail/DNS/proxy servers, IDS/IPS, firewalls, DMZs).. Familiar with modern product development practices and tools, including Kubernetes, Docker, Git, Jira, Agile methodologies, DevOps, and CI/CD pipelines.. Knowledgeable in machine learning and deep learning development, including the use of frameworks such as TensorFlow, PyTorch, and Keras.. Familiarity with machine and deep learning development practices, frameworks/libraries (e.g. TensorFlow, PyTorch, Keras), employment, computing requirements and limitations when applied to computer vision, big data analysis and other complex tasks demanding Artificial Intelligence-like capabilities.

These techniques and systems benefit from big data, data mining, artificial intelligence, machine learning, cloud computing, & many other advance technologies.. In this position, you are first a hard-working and versatile data engineering leader that can work in a multifaceted environment as a member of Agile scrum teams.. You will be an integral part of the leadership team, setting up technical roadmap, introducing the latest machine learning and system technology to the team, working with development managers and teams to identify and resolve technical challenges, and working with different products and data science teams to streamline the feature request and model onboarding.. Exposure to innovative areas such as Machine Learning, Big Data, Distributed Systems or SRE.Experience in at least one of the following: Golang, Java, or C/C. A background in the fraud detection domain is a plus.

A consulting firm based in DC that does a lot of work supporting the government, specifically in Civic tech is seeking a Senior Machine Learning Engineer.. This position is fully remote and requires US citizenship with ability to obtain a Public Trust clearance. Machine Learning Engineer, AI (FULLY REMOTE) Washington, DC $176,600.00-$225,900.00 2 weeks ago. Machine Learning Engineer, AI (FULLY REMOTE) McLean, VA $176,600.00-$225,900.00 2 weeks ago. Machine Learning Engineer, AI (FULLY REMOTE) Maryland, United States $176,600.00-$225,900.00 2 weeks ago

Mission focus is on developing next-gen tools for detecting cyber-attacks, enhancing network resilience, and improving small-form factor sensor systems while maintaining a focus on cutting-edge technologies like machine learning and software-defined networking. Conducting Radio Frequency (RF) machine learning research or developing signal processing algorithms for wireless systems.. Interest and/or experience in one or more of the following domains: digital signal processing, RF software engineering, algorithm development, software defined radio, and machine learning.. Experience with modern machine learning development frameworks and platforms (e.g. Keras, TensorFlow, PyTorch) is expected.. Familiarity with multiple-antenna or distributed signal processing techniques

Experiment with and implement advanced LLM and Agentic AI technologies to enhance application capabilities. Ensure compliance with Duke Energy’s AI policies. Stay current with advancements in Gen AI, LLMs, Blockchain, and Quantum Computing. Knowledge of Natural Language Processing (NLP) and Computer Vision. Sign in to set job alerts for “Artificial Intelligence Specialist” roles.

Principal Machine Learning Data Scientist - Gen AI North Bethesda, Maryland. Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents.. Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities.. Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development.. Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.