Machine Learning Jobs in Washington DC

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Looking for Machine Learning jobs in Washington DC? Browse our curated listings with transparent salary information to find the perfect Machine Learning position in the Washington DC area.

Associate General Counsel, Litigation

Company: Meta

Location: Washington, DC

Posted Jan 27, 2025

Senior Scrum Master - Microsoft Dynamics

Company: Axxum Technologies

Location: Washington DC

Posted Jan 26, 2025

The job posting is for a Senior Scrum Master position for Microsoft Dynamics in Springfield, IL. The role involves managing project schedules, resources, risks, and reporting. The candidate will provide guidance, serve as an escalation point, support customers, and define requirements based on the latest Dynamics 365 architecture. Key responsibilities include facilitating SAFe Scrum ceremonies, coaching Scrum teams, removing impediments, and promoting cross-team collaboration. Required skills include Agile and SAFe expertise, Microsoft Dynamics knowledge, team facilitation and leadership, collaboration and communication, and impediment removal. Beneficial skills include backlog management, technical tools proficiency, continuous improvement, metrics and reporting, stakeholder management, adaptability, and relevant certifications. The company offers a generous benefits package and is committed to diversity, equity, and inclusion.

AWS Connect Specialist

Company: rockITdata

Location: Washington DC

Posted Jan 26, 2025

rockITdata, a certified minority and woman-owned small business, offers comprehensive consulting services with a focus on management and IT. They leverage AI and machine learning technologies to help clients build efficiencies, decrease costs, and drive better outcomes. The company provides four distinct offerings: consulting services, application development and sustainment, mission support, and contact center solutions. They are currently seeking an experienced AWS Connect Specialist to join their Emerging Solutions team, focusing on Contact Center services. The ideal candidate will have extensive experience in implementing contact center solutions, strong handson experience with AWS Connect and related AWS services, and proficiency in at least one programming language.

Training Manager

Company: Sodexo

Location: Washington, DC

Posted Jan 27, 2025

Lead Functional Consultant - ORACLE FUSION HCM CLOUD

Company: Axxum Technologies

Location: Washington DC

Posted Jan 26, 2025

The Lead Functional Consultant for Oracle Fusion HCM Cloud is responsible for driving the business analysis function of the CPS ERP Modernization Program. This role involves leading project and application support teams to deliver high-quality systems solutions for the implementation of Oracle Fusion HCM-related cloud services. The consultant will work closely with the Talent department to analyze as-is and to-be states, define data conversion and integration requirements, and facilitate workshops on key design decisions. They will also own the green field implementation of Oracle Fusion HCM ERP cloud, gather detailed functional and technical requirements, and conduct fit-gap analysis. The consultant will be involved in the evaluation and selection of third-party partners, educate the talent team on best practices, and drive a cadence of regression testing for each quarterly product release cycle.

Patient Care Technician

Company: DaVita

Location: Washington, DC

Posted Jan 27, 2025

Frequently Asked Questions

What are typical salary ranges by seniority for machine learning roles?
Entry‑level ML Engineer: $90k–$120k; Mid‑level ML Engineer or Data Scientist: $120k–$160k; Senior ML Engineer or Research Scientist: $160k–$220k; Lead ML Engineer or Principal Research Scientist: $200k–$280k; AI Product Manager: $130k–$180k depending on experience and market.
What skills and certifications are most valuable in machine learning today?
Core language: Python; Deep learning frameworks: TensorFlow, PyTorch; Scikit‑learn for classical models; SQL and NoSQL databases for data ingestion; Docker and Kubernetes for deployment; Cloud AI services such as AWS SageMaker, GCP Vertex AI, Azure ML. Certifications: TensorFlow Developer Certificate, AWS Certified Machine Learning – Specialty, GCP Professional Machine Learning Engineer.
How common is remote work for machine learning positions?
Over 70% of ML roles allow full remote or hybrid arrangements. Startups and fintech firms tend to offer 100% remote options, while larger enterprises often provide hybrid models with occasional on‑site data‑center visits. Remote work is especially prevalent for roles focused on model training and research.
What career progression paths exist in machine learning?
Typical paths: ML Engineer → Senior ML Engineer → Lead ML Engineer → ML Manager; Data Scientist → Senior Data Scientist → Lead Data Scientist → Head of Data; Research Scientist → Senior Research Scientist → Principal Scientist → Chief Data Scientist; ML Ops Engineer → Senior ML Ops Engineer → Lead ML Ops Engineer → Director of MLOps. Progression often involves moving from coding to architecture, then to leadership and strategy.
What are the current industry trends shaping machine learning hiring?
Key trends: reinforcement learning for autonomous systems; federated learning for privacy‑preserving models; edge AI for IoT devices; AutoML platforms speeding model deployment; MLOps practices for scalable pipelines; explainable AI and ethics compliance; and increased demand for AI governance roles.

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