Machine Learning Engineer at Actif.ai

Washington, District of Columbia, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Apr, 26

Salary

0.0

Posted On

06 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, RESTful APIs, Machine Learning, Docker, Airflow, Kubernetes, Cloud Environments, SQL, Data Ingestion, Model Training, Model Deployment, Automation, AI Systems, Data Science, Software Development, MLOps

Industry

technology;Information and Internet

Description

Job Title: Machine Learning Engineer Company: Actifai Location: Washington, DC (Hybrid or Remote) The Role Actifai 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. Responsibilities Build, Maintain, and Enhance Infrastructure & Systems including: The API we use for model inference, ensuring performance, reliability, and scalability. Cloud-based infrastructure for scalable and efficient model training. Robust ML pipelines for streamlined deployment and experimentation. Application & Integration Build software layers that integrate ML models with our core application and APIs. Collaborate with data scientists, software engineers, data engineers, and product teams to deliver end-to-end AI solutions. Product Development R&D Build the infrastructure to deploy the models developed by our Data Scientists for new end-to-end AI products Design and develop agentic AI systems powered by large language models to support broadband use cases. Build agentic workflows that automate tasks such as customer query resolution and sales assistance. Automation & Tooling Lead the automation of our end-to-end client model onboarding process, reducing manual effort across: Data ingestion and transformation Exploratory data analysis Model training, validation, and deployment Unit testing and post-deployment updates in response to client-specific or market-driven changes Build tools and internal frameworks to improve model reproducibility, monitoring, and lifecycle management. Qualifications 5+ years of experience in Python Proficiency in building and consuming RESTful APIs (we use FastAPI withPydantic) Familiarity with the machine learning lifecycle and modern ML engineering practices Hands-on experience with Docker, Airflow, and Kubernetes for containerization and orchestration Experience 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 experience Nice to Have Experience with A/B testing infrastructure or experimentation platforms Background in MLOps, model monitoring, or validation Familiarity with deploying models like Gradient Boosted Decision Trees, generative models, or neural networks Past involvement in zero-to-one product development initiatives The Company Actifai 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 Culture Actifai 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.

Responsibilities

The Machine Learning Engineer will build and maintain infrastructure for model inference and cloud-based training, while also collaborating with various teams to deliver AI solutions. Additionally, they will lead automation processes and develop agentic AI systems for customer interactions.