We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform.
15 Ai Squared Jobs Hiring Near You
We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform.
We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform.
Quick apply
We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform.
Account Executive - Federal
Washington, DC · On-site
You'll own the full sales cycle, helping agencies adopt our data, AI, and analytics platform to solve mission-critical challenges. This role requires deep experience navigating federal procurement ...
Account Executive - Federal
Washington, DC · On-site
You'll own the full sales cycle, helping agencies adopt our data, AI, and analytics platform to solve mission-critical challenges. This role requires deep experience navigating federal procurement ...
We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform.
We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform.
Sales Engineer
Mountain View, CA · On-site
Sell AI-related infrastructure solutions to large and mid-sized enterprises, identifying client needs and aligning our solutions with their strategic goals. * Partner with Account Executives to ...
Sales Engineer
Mountain View, CA · On-site
Sell AI-related infrastructure solutions to large and mid-sized enterprises, identifying client needs and aligning our solutions with their strategic goals. * Partner with Account Executives to ...
Sales Engineer
Mountain View, CA · On-site
Sell AI-related infrastructure solutions to large and mid-sized enterprises, identifying client needs and aligning our solutions with their strategic goals. * Partner with Account Executives to ...
Sales Engineer
Mountain View, CA · On-site
Sell AI-related infrastructure solutions to large and mid-sized enterprises, identifying client needs and aligning our solutions with their strategic goals. * Partner with Account Executives to ...
Sales Engineer
Mountain View, CA · On-site
Sell AI-related infrastructure solutions to large and mid-sized enterprises, identifying client needs and aligning our solutions with their strategic goals. * Partner with Account Executives to ...
Quick apply
Sales Engineer
Mountain View, CA · On-site
Sell AI-related infrastructure solutions to large and mid-sized enterprises, identifying client needs and aligning our solutions with their strategic goals. * Partner with Account Executives to ...
In this role, you will be a key contributor to the development of core AI/ML solutions that power our platform. You will collaborate closely with product and engineering teams, applying ...
Quick apply
In this role, you will be a key contributor to the development of core AI/ML solutions that power our platform. You will collaborate closely with product and engineering teams, applying ...
Data Scientist
Washington, DC · On-site
In this role, you will be a key contributor to the development of core AI/ML solutions that power our platform. You will collaborate closely with product and engineering teams, applying ...
Data Scientist
Washington, DC · On-site
In this role, you will be a key contributor to the development of core AI/ML solutions that power our platform. You will collaborate closely with product and engineering teams, applying ...
Machine Learning Engineer
Washington, DC · On-site
We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform.
Machine Learning Engineer
Washington, DC · On-site
We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform.
Data Scientist
Washington, DC · On-site
In this role, you will be a key contributor to the development of core AI/ML solutions that power our platform. You will collaborate closely with product and engineering teams, applying ...
Data Scientist
Washington, DC · On-site
In this role, you will be a key contributor to the development of core AI/ML solutions that power our platform. You will collaborate closely with product and engineering teams, applying ...
In this role, you will focus on helping organizations adopt and leverage our cutting-edge data, AI, and analytics platform to transform their business. You will own the entire sales cycle, from ...
Quick apply
In this role, you will focus on helping organizations adopt and leverage our cutting-edge data, AI, and analytics platform to transform their business. You will own the entire sales cycle, from ...
Account Executive - Federal
Washington, DC · On-site
You'll own the full sales cycle, helping agencies adopt our data, AI, and analytics platform to solve mission-critical challenges. This role requires deep experience navigating federal procurement ...
Quick apply
Account Executive - Federal
Washington, DC · On-site
You'll own the full sales cycle, helping agencies adopt our data, AI, and analytics platform to solve mission-critical challenges. This role requires deep experience navigating federal procurement ...
You'll own the full sales cycle, helping agencies adopt our data, AI, and analytics platform to solve mission-critical challenges. This role requires deep experience navigating federal procurement ...
You'll own the full sales cycle, helping agencies adopt our data, AI, and analytics platform to solve mission-critical challenges. This role requires deep experience navigating federal procurement ...
In this role, you will help large, complex organizations adopt and scale our cutting-edge data, AI, and analytics platform to drive transformation at scale. You will own the entire sales cycle, from ...
Quick apply
In this role, you will help large, complex organizations adopt and scale our cutting-edge data, AI, and analytics platform to drive transformation at scale. You will own the entire sales cycle, from ...
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Job description
Machine Learning Engineer
Washington, DC (Hybrid)
About the Role:
We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform. You will work closely with data scientists, data engineers, and product teams to ensure scalable, reliable, and production-grade AI solutions. You'll play a critical role in operationalizing large language models (LLMs) and other ML systems, ensuring they run efficiently, securely, and with robust monitoring in place.
Key Responsibilities:
- Design, implement, and maintain ML deployment pipelines for scalable production systems.
- Operationalize large language models (LLMs) and other AI/ML models, ensuring high availability and reliability.
- Build robust model monitoring, logging, and alerting systems to track performance and detect drift.
- Partner with data scientists to transition models from research/prototype into production-ready deployments.
- Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment.
- Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed systems.
- Apply containerization and orchestration (Docker, Kubernetes) to enable reproducible, scalable systems.
- Collaborate with cross-functional teams to ensure ML systems align with platform goals and business requirements.
Qualifications:
- 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role.
- Proven experience deploying and maintaining machine learning models in production at scale.
- Hands-on experience with ML lifecycle tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or similar).
- Strong proficiency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow.
- Deep knowledge of containerization (Docker) and orchestration (Kubernetes) for production ML systems.
- Expertise with cloud platforms (AWS, GCP, Azure) for ML deployment and scaling.
- Strong understanding of MLOps best practices, monitoring, and automation.
- Excellent problem-solving skills, with an emphasis on building reliable, scalable systems.
- Strong communication and collaboration skills across technical and non-technical teams.