AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions. If you like a challenging environment where you re working with the best and are encouraged to learn and experiment every day, there s no better place guaranteed! <>What you will doIngest, structure, and analyze a wide range of unstructured data sources;De

ML Engineer Tysons Corner, VA This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $200,000 per year A bit about us: Our client is a well-funded deep tech company headquartered in Northern Virginia, building a suite of autonomous software reliability and testing products. Their team is collaborative, highly technical, and customer focused. They prioritize the long-term in our structure, our

Type of Requisition: Regular Clearance Level Must Currently Possess: Top Secret/SCI Clearance Level Must Be Able to Obtain: Top Secret SCI + Polygraph Public Trust/Other Required: None Job Family: Systems Engineering Job Qualifications: Skills: Graphics Processing Units (GPUs), Kubernetes, Tensorflow Certifications: None Experience: 5 + years of related experience ship Required: Yes Job Description: Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and

Formed in 2011, Inadev is focused on its founding principle to build innovative customer-centric solutions incredibly fast, secure, and at scale. We deliver world-class digital experiences to some of the largest federal agencies and commercial companies. Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation. POSITION DESCRIPTION: We ar

Type of Requisition: Regular Clearance Level Must Currently Possess: Top Secret/SCI Clearance Level Must Be Able to Obtain: Top Secret SCI + Polygraph Public Trust/Other Required: None Job Family: Systems Engineering Job Qualifications: Skills: Graphics Processing Units (GPUs), Kubernetes, Tensorflow Certifications: None Experience: 5 + years of related experience ship Required: Yes Job Description: Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Her

Location: Washington, DC Salary: $60.00 USD Hourly - $65.00 USD Hourly Description: Our client is currently seeking a Machine Learning Engineer Position Title: Machine Learning Eng II Required Skills: Keras, PyTorch or TensorFlow, LLM, Python Nice to have skills: none mentioned Location: Washington, DC, Philly Interview Process: 2 rounds; coding on the 2nd round Length: EOY + Project/Team: Team: NLP Team - develops the tech that powers the voice remote. Ideal Candidate: Machine Learning En

Job Description: Machine Learning Engineer - Voice (Speech & NLP) Group, Applied AI The Company brings together the best in media and technology We drive innovation to create the world's best entertainment and online experiences As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines We are at the forefront of change and move at an amazing pace, thanks to our remarkable people

Location: Washington, DC Salary: $60.00 USD Hourly - $65.00 USD Hourly Description: W2 opportunity -Machine Learning Eng II & -Washington, DC, Philly- Hybrid Position Title: Machine Learning Eng II Required Skills: Keras, PyTorch or TensorFlow, LLM, Python Location: Washington, DC, Philly Onsite Interview Process: 2 rounds; coding on the 2 nd round Length: EOY + Team: NLP Team - develops the tech that powers the voice remote. Ideal Candidate: Machine Learning Engineer Moving to AI - ne

Machine Learning Engineer Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local * * * The Opportunity: CACI is seeking a Machine Learning Engineer (Senior) to join our team to support our intelligence customer in Springfield, VA/St. Louis, MO. As a team, we will be responsible for developing and maintaining agency wide Platform as a Service (PaaS) capa

Role Overview The Applied AI Group within this Global Entertainment Engineering organization is seeking a Machine Learning Engineer with expertise in Natural Language Processing (NLP) to join a team of researchers and engineers. This team powers a voice platform used by millions worldwide, enabling customers to interact with their TVs through voice commands for searching content, controlling smart home devices, and retrieving entertainment-related information. As part of the NLP team, you will d

Secunetics is a leader in IT infrastructure assessment, design, and optimization. We are a focused team of enthusiastic colleagues working together on a diverse and challenging set of projects. We are looking to grow our team and are seeking a Python AI/ML Data Engineer to work on a range of projects involving data ingestion, transformation, and management to support AI-powered solutions. We value creative, strategic thinkers with demonstrated interest and skills in data engineering, software de

AI/ML Senior Software Engineer Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local * * * About the Opportunity: CACI is seeking talented, results-oriented, mission-focused engineers with experience in developing Artificial Intelligence (AI) and Machine Learning (ML) algorithms. This is an opportunity to work with mission critical AI/ML applications t

ABOUT US We're the world's leading provider of secure financial messaging services, headquartered in Belgium. We are the way the world moves value - across borders, through cities and overseas. No other organisation can address the scale, precision, pace and trust that this demands, and we're proud to support the global economy. We're unique too. We were established to find a better way for the global financial community to move value - a reliable, safe and secure approach that the community can

Summary: Apply AI/ML/Autonomy techniques to implement SIGINT/EW techniques and systems. Description: You will design, prototype, implement, debug, and test SIGINT/EW systems utilizing the latest AI/ML/autonomy techniques and tools. Example areas include platform control/navigation, mission planning, mission execution, signal processing, and signal classification. Responsibilities span the entire product lifecycle from CONOP definition and software concept to customer delivery and maintenance. W

RESPONSIBILITIES: Kforce has a client that is seeking a fully remote Machine Learning Engineer to join their team. Summary: This candidate will be primarily working on machine learning enablement, with the goal of helping them accelerate their machine learning projects/applications. In this role, you will be assisting other teams for MLOps projects to deliver an end-to-end production ready ML model pipeline for deep learning and non-representation-based ml model using Vertex AI, MLFLOW, TensorF

Job Title: AI/ML Engineer / Data Scientist Location: Jersey City, NJ [OR] McLean, VA [OR] Boston, MA ( Choose Any 1 ) Hybrid: 3 days Onsite & 2 days REMOTE Duration: 8 Months (CONTRACT TO HIRE) Pay Range: $70 - $75/hr Description: Looking for a hands-on AI/ML Engineer to join our dynamic Technology Research and Innovation team, where you'll play a pivotal role in spearheading AI initiatives and innovation. As an AI/ML Engineer, you will play a pivotal role in designing, developing, and deploying

Job role: Senior ML Platform Engineer (Serving Infrastructure) Location: Remote Duration: Long term Role Overview: We're looking for an experienced engineer to build our ML serving infrastructure. You'll create the platforms and systems that enable reliable, scalable model deployment and inference. This role focuses on the runtime infrastructure that powers our production ML capabilities. Key Responsibilities: Design and implement scalable model serving platforms for both batch and real-time in

Motion Recruitment delivers IT Talent Solutions across North America. Our specialized team-based recruitment model's success is proven through our track record in filling the most challenging IT positions for startup and enterprise clients. Areas of expertise range across Software, Mobile, Data, Infrastructure, Cybersecurity, Product, and UX. We're also the proud creators of Tech in Motion and the Timmy Awards, our community event series and award program connecting tech enthusiasts to meet, lea

Job Title: Machine Learning Engineer (Google Vertex AI Specialist) Type: Contract Duration: 6+ Months Location: Complete Remote Role Overview: We are seeking experienced Machine Learning Engineers specializing in Google Vertex AI to join our team. The successful candidates will be integral in supporting machine learning initiatives, including critical platform migrations, model deployment, and optimization tasks. Key Responsibilities: Lead and support the migration and deployment of machine lear

RESPONSIBILITIES: Kforce has a client in Cincinnati, OH that is seeking an AI/ML Engineer. Responsibilities: * Lead technical ML projects spanning months * Foster a collaborative team environment, promoting growth among junior members * Utilize patterns, frameworks, and tools for automating and deploying ML solutions * Develop tools and processes to monitor and analyze model performance and data accuracy * Collaborate with researchers to optimize and scale ML solutions using DevOps and MLOps be