AI Engineer

Stack

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

Requirements

• ▹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

Nice to have

• ▹Familiarity with deep learning frameworks such as TensorFlow or PyTorch
• ▹Experience working in high-growth or startup environments
• ▹Strong publication record or contributions to open-source AI projects

Soft skills