Artificial Intelligence Engineer (Remote)
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Key skills for this role
About the Role
We are hiring an AI Engineer for a client to design, build, and optimize machine learning models for production. The role involves implementing ML pipelines, using AWS and Kubernetes, and collaborating with cross-functional teams.
Key Skills for This Role
Responsibilities
- Design, build, and optimize robust machine learning models optimized for production environments
- Implement and automate end to end ML pipelines using CI/CD best practices
- Leverage AWS services for scalable AI infrastructure, model deployment, and data processing workloads
- Orchestrate containerized workloads using Kubernetes to maintain high availability and scalability
- Collaborate with cross functional teams including data scientists, engineers, and researchers
- Evaluate, preprocess, and frame real world data problems for effective machine learning applications
- Document solution approaches, methodologies, and findings for internal and external stakeholders
Requirements
- Experience with machine learning model development and optimization in production settings
- Proficiency in implementing CI/CD pipelines for ML workflows using tools such as GitHub Actions, Jenkins, or GitLab CI
- Hands on experience with AWS services including EC2, S3, Lambda, SageMaker, and related cloud infrastructure
- Strong working knowledge of Kubernetes for container orchestration, deployment, and scaling of ML workloads
- Ability to preprocess, evaluate, and structure domain specific data for machine learning applications
- Familiarity with Python and relevant ML libraries such as TensorFlow, PyTorch, or scikit learn is beneficial
- Excellent documentation skills and ability to communicate technical concepts clearly to non technical stakeholders
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking an AI Engineer to work on a contractor basis.
- This role focuses on designing, building, and optimizing machine learning models to train next generation AI systems.
- Candidates with domain expertise in any field are encouraged to apply, as no prior AI experience is required.
Key Responsibilities
- Design, build, and optimize robust machine learning models optimized for production environments.
- Implement and automate end to end ML pipelines using CI/CD best practices.
- Leverage AWS services for scalable AI infrastructure, model deployment, and data processing workloads.
- Orchestrate containerized workloads using Kubernetes to maintain high availability and seamless scalability.
- Collaborate with cross functional teams including data scientists, engineers, and researchers.
- Evaluate, preprocess, and frame real world data problems for effective machine learning applications.
- Document solution approaches, methodologies, and findings for internal and external stakeholders.
Required Skills & Qualifications
- Experience with machine learning model development and optimization in production settings.
- Proficiency in implementing CI/CD pipelines for ML workflows using tools such as GitHub Actions, Jenkins, or GitLab CI.
- Hands on experience with AWS services including EC2, S3, Lambda, SageMaker, and related cloud infrastructure.
- Strong working knowledge of Kubernetes for container orchestration, deployment, and scaling of ML workloads.
- Ability to preprocess, evaluate, and structure domain specific data for machine learning applications.
- Familiarity with Python and relevant ML libraries such as TensorFlow, PyTorch, or scikit learn is beneficial.
- Excellent documentation skills and ability to communicate technical concepts clearly to non technical stakeholders.
More About the Opportunity
- Opportunity to contribute to a global platform that connects domain experts to the development of frontier AI models.
- Work on advanced evaluations and reinforcement learning environments that improve AI system performance.
- Global exposure, impactful work, and collaboration with leading experts in AI and machine learning.
Equal Opportunity Employer
- We hire based on skills and expertise.
- All qualified candidates are welcome regardless of background, experience, or prior employment history.
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