Machine Learning Engineer

+3
+8
District of Columbia, United States

+3
+8
District of Columbia, United States

Über

Job Title: Machine Learning EngineerCompany: ActifaiLocation: Washington, DC (Hybrid or Remote)The RoleActifai is looking for an experienced and motivated Machine Learning Engineer (MLE) to join our growing team. Embedded within the Data Science team, the MLE will play a critical role in scaling our ML and AI infrastructure and to support model development, deployment, and continuous reinforcement learning.This is a high-impact position tasked with shaping automation workflows and making architectural decisions. Part of the role will be building agentic AI systems. These LLM-based agents will automate complex, multi-step workflows, from customizing customer’s plan recommendations to assisting sales and support teams, enabling more personalized, efficient, and scalable customer experiences.ResponsibilitiesBuild, Maintain, and Enhance Infrastructure & Systems including:The API we use for model inference, ensuring performance, reliability, and scalabilityCloud-based infrastructure for scalable and efficient model trainingRobust ML pipelines for streamlined deployment and experimentationApplication & IntegrationBuild software layers that integrate ML models with our core application and APIsCollaborate with data scientists, software engineers, data engineers, and product teams to deliver end-to-end AI solutionsProduct Development R&DBuild the infrastructure to deploy the models developed by our Data Scientists for new end-to-end AI productsDesign and develop agentic AI systems powered by large language models to support broadband use casesBuild agentic workflows that automate tasks such as customer query resolution and sales assistanceAutomation & ToolingLead the automation of our end-to-end client model onboarding process, reducing manual effort across:Data ingestion and transformationExploratory data analysisModel training, validation, and deploymentUnit testing and post-deployment updates in response to client-specific or market-driven changesBuild tools and internal frameworks to improve model reproducibility, monitoring, and lifecycle managementQualifications5+ years of experience in PythonProficiency in building and consuming RESTful APIs (we use FastAPI withPydantic)Familiarity with the machine learning lifecycle and modern ML engineering practicesHands-on experience with Docker, Airflow, and Kubernetes for containerization and orchestrationExperience working in cloud environments (Google Cloud Platform preferred)Proficiency in SQL (BigQuery and PostgreSQL are a plus)Bachelor’s degree in computer science, systems engineering, machine learning, data science, or a related technical field — or equivalent professional experienceNice to HaveExperience with A/B testing infrastructure or experimentation platformsBackground in MLOps, model monitoring, or validationFamiliarity with deploying models like Gradient Boosted Decision Trees, generative models, or neural networksPast involvement in zero-to-one product development initiativesThe CompanyActifai is the leading provider of AI software for customer sales and experience operations in the broadband industry. We work with several of the largest telecommunications providers in North America and have just begun further international expansion.Our platform delivers intelligent, data-driven sales and support recommendations that guide both consumers and front-line agents during digital, phone, and in-person engagements. These recommendations are grounded in behavioral patterns learned from millions of real-world customer interactions, allowing us to surface the right options, actions, and guidance in the moments that matter most.But we don’t just build models—we operationalize AI-backed intelligence. Actifai’s software delivers our proprietary models via polished UIs and tightly integrated workflows, while our continuous learning systems adapt to new data, improve performance over time, and even inform the development of entirely new software solutions.Actifai was created in 2019 within Foundry.ai, a technology studio focused on building practical AI applications for Fortune 1000 companies. Foundry’s backers include The Pritzker Organization, Breyer Capital, and Madrone Capital Partners.Benefits and CultureActifai offers an extremely competitive compensation package, including equity, employer-covered health/vision/dental insurance (with an optional FSA), and 401k matching. Employees receive a generous PTO allowance, and can work both remotely and from our office in downtown Washington, D.C. Successful candidates will join a small team of ambitious, supportive co-workers with ample opportunities to take on responsibilities beyond their assigned role.For additional information on benefits and what it’s like to work at Actifai, please visit actif.ai/careers. Finally, we highlight that excellence has no single mold, particularly in a field as rapidly evolving as AI. We’re looking for excellent candidates of all backgrounds with strong business intuition and coding skills, and welcome applicants regardless of ethnic/national origin, gender, race, religious beliefs, disability, sexual orientation or age.Powered by JazzHRrtfJZGrn3HSeniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionEngineering and Information TechnologyIndustriesInternet PublishingReferrals increase your chances of interviewing at Actifai by 2xWashington, DC $120,000 - $145,000 5 days agoWashington, DC $80,000 - $120,000 1 week agoWashington, DC $206,300 - $305,600 1 week agoChevy Chase, MD $130,000 - $260,000 5 days agoWashington, DC $150,000 - $300,000 2 days agoData Scientist (Secret Clearance required)Washington DC-Baltimore Area $180,000 - $220,000 2 weeks agoSenior Software Engineer - Backend - Python - Agentic PlatformWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Wünschenswerte Fähigkeiten

Docker
Google Cloud Platform
Kubernetes
Machine Learning
Neural Networks
PostgreSQL
Python
SQL

District of Columbia, United States

Berufserfahrung

Data Engineer
Fullstack
Machine Learning

Sprachkenntnisse

English

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