Machine Learning Engineer

Actif.ai • Washington, DC

1d • Hybrid

About The Position

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.

Requirements

• 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 Haves

• 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

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.
• 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.
• 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.
• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees