Machine Learning Engineer Salary at Mandiant Inc BETA

Venture backed Fin-Tech Unicorn is looking to add a Senior Manager of Data Science to join their R&D outfit in Arlington, Virginia(approximentally 2 days onsite). This person will lead a group of data scientists and machine learning engineers tasked with building predictive models, credit card behavorial modeling, customer value models and extracting key customer insights thru behavorial based data. The ideal candidate will be a player-coach coming from a commercial, product- driven environment(ideally in fin-tech), and adept with python and/or sql, whose worked with credit card behavorial modeling, designed A/B tests and overseen ML model development from conception to implementation. Preferred Qualifications: *Extensive background with python and/or sql * Experience implementing Machine Learning algorithms at consumer scale * Experience leading teams while remaining hands-on - Background managing teams of machine learning engineers and data scientists at consumer or b2b scale - Exper

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) capabilities deployed across multiple security domains utilizing Agile scrum methodologies. Tailoring cutting-edge solutions to unique requirements of our clients, we will support multiple tenants deploy a myriad of application stacks and data services. Be a part of something greater than yourself and make a lasting impact at CACI. Responsibilities: Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analytic workflows a

38 Years of Industry Experience | Remote | High-Impact About The role: Were looking for an ML engineer with a strong foundation in traditional ML and hands-on experience applying those skills to modern LLM systems. This is an applied role for someone who owns the full ML lifecyclefrom data pipelines and model training to evaluation, deployment, and ongoing iteration in real-world production environments. In This Role, You Will: Build and deploy a multi-stage classification system optimized for high throughput and low latency, while ensuring high recall and precision. Integrate continuous feedback loops from human review to refine model performance. Design and implement real-world ML systems with a focus on robustness, observability, and scalability. Collaborate with researchers and SMEs to generate training data and test against edge cases. Work closely with a broader team of engineers to integrate ML components into production systems and ensure end-to-end system performance. Were Loo

We currently have an exciting opportunity for a AI/ML Engineer in Vienna, VA for one of our direct clients. Based on your background, I believe you could be a great fit for this role. Responsibilities: Designing and training AI models for denial classification, document parsing (EOBs, policies), conversation logic for agentic behaviors, integrating LLMs or custom NLP solutions. Technical Skills: NLP, deep learning frameworks (PyTorch/TensorFlow), large language model “agent” tooling (e.g., LangChain, semantic search, vector DB knowledge bases).

Fully Remote, supporting est hours MID LEVEL or SENIOR CANDIDATE IS FINE Video interview process USC, GC or GC EAD only!!! Azure Azure Synapse Python PyTorch/Tensflow SQL Generative AI (Gen AI) experience strongly preferred Numpy/Pandas Job Description: Our AI & Digital Innovations teams bring the latest GenAI techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data. Involved in specific engagements involving the building of new, bespoke advanced AI solutions for clients and internally. Leveraging your knowledge of algorithms, data structures, and performance optimism and experience with processing and interpreting data sets. Responsible for developing and translating computer algorithms into prototype code and maintaining, organizing, and identifying trends in large data sets. Proficiency in SQL database design and creating process documentation. Familiarity with the computer coding languages python, Azure Synaps

Position Overview We are seeking a highly skilled and communicative Technical Project Manager (TPM) to lead cross-functional teams in the planning, execution, and delivery of complex AI technical service projects. The ideal candidate is not only technically proficient but also demonstrates outstanding communication abilities, situational awareness, and a proven track record in building and sustaining exceptional client relationships. This role requires a proactive, adaptable leader who thrives in dynamic environments and can manage technical projects. **This is a hybrid role. Mon-Wed in Office. Thur & Friday WFH** Key Responsibilities Project Leadership: Lead end-to-end technical project delivery, ensuring alignment with scope, budget, and timeline. Stakeholder Communication: Serve as the primary point of contact between clients, technical teams, and business units, maintaining transparency and consistent updates. Situational Awareness: Actively monitor project dynamics, anticipate ris

NOTE: This role is on-site 5 days a week in Arlington, Virginia. We are unable to sponsor, but can work with existing H1 (with certain conditions) & i140 approved. Sorry, no C2C. Our client, a leading company in the Oil & Gas sector, is seeking a Machine Learning Engineer to develop and deploy AI-driven solutions. This role will focus on machine learning, deep learning, generative AI, and optimization algorithms while building scalable model pipelines in Databricks and PySpark. Key Responsibilities: Define project requirements with business stakeholders. Build and optimize model serving pipelines for scalability and performance. Improve model accuracy through feature engineering and tuning. Integrate machine learning models into production environments. Evaluate and implement pretrained models and vendor solutions. Develop project plans, including solution architecture and resourcing. Collaborate with data scientists, engineers, and analysts to translate business needs into ML solution

Since 2010 SynergisticIT has helped Jobseekers get employed in the tech Job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. The Tech Job market has been affected by massive layoffs and since 2021 there have been more than 600,000.00 tech layoffs. The Job market is Hyper Competitive. For 1 position 500-1000 candidates or more are applying and laid off job seekers are also competing for entry level Job positions. Please see the below links to know more about Synergisticit and some useful tips Synergisticit Pics /Salaries of Successful Candidates Synergisticit at Oracle Cloudworld 2023 Synergisticit at Gartner Data & Analytics summit Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT We regularly interact with the Top Tech companies to give our candidates a competitive advantage. We at Syne