Note: The job is a remote job and is open to candidates in USA. Crossing Hurdles is seeking an AI Engineer to design, build, and optimize machine learning models for production environments. The role involves implementing end-to-end ML pipelines, leveraging AWS services, and collaborating with teams to solve complex business problems using AI solutions.

Responsibilities

• Design, build, and optimize robust machine learning models for production environments
• Implement and automate end-to-end ML pipelines using CI/CD best practices
• Leverage AWS services for scalable AI infrastructure and model deployment
• Orchestrate containerized workloads using Kubernetes to ensure high availability and seamless scalability
• Collaborate with data scientists, engineers, and researchers to translate complex business problems into actionable ML solutions
• Evaluate, preprocess, and frame real-world data problems for effective machine learning applications
• Document and communicate findings, solution approaches, and technical decisions with clarity and precision

Skills

• Proven expertise in machine learning algorithms, model development, and deployment
• Strong programming skills, ideally in Python or Java, with experience in large-scale software engineering projects
• In-depth experience with CI/CD workflows and automation tools
• Hands-on expertise with AWS cloud services for ML applications and data pipelines
• Advanced knowledge of Kubernetes for orchestrating containerized ML workloads
• Exceptional written and verbal communication skills, with a focus on clear technical documentation and team collaboration
• Demonstrated ability to scope, structure, and solve complex, real-world data challenges

Company Overview