Machine Learning Engineer - Hired

Key Responsibilities

• Develop and maintain production-grade machine learning codebases, ensuring high-quality, efficient, and maintainable code.
• Design, implement, and deploy AI systems that meet performance, reliability, and scalability standards.
• Build, run, and modify model training, evaluation, and infrastructure workflows for benchmark-driven ML evaluation tasks.
• Collaborate with cross-functional teams to integrate AI systems with real-world data sources and deliver actionable insights.
• Participate in the development of model training and evaluation pipelines, ensuring accurate and reliable results.
• Work with data scientists and engineers to refine AI systems and improve their capabilities.

Requirements

• 3+ years of experience in machine learning engineering with a focus on AI system development.
• Expertise in machine learning frameworks such as TensorFlow and PyTorch.
• Strong proficiency in Python and software development principles (testing, version control, CI/CD).
• Experience with cloud-based infrastructure (AWS, GCP, Azure) and containerization (Docker).
• Ability to work effectively in cross-functional teams and communicate technical concepts clearly.