We are seeking a highly skilled AI Engineer with deep expertise in Machine Learning Operations (MLOps) to join our innovative technology team.

The ideal candidate will combine advanced technical skills in AI/ML with robust infrastructure and deployment capabilities.

Key Responsibilities

• Design, develop, and maintain scalable machine learning pipelines, particularly for image processing applications

• Implement and optimize end-to-end ML workflows using cutting-edge image editing algorithms

• Create robust infrastructure for model inference, validation, deployment, and monitoring using AWS services

• Develop and maintain containerized ML applications using Docker

• Implement streaming data processing architectures with Apache Kafka

• Build automated CI/CD pipelines for machine learning models

• Ensure model performance, reliability, and scalability across different environments

• Collaborate with data science and software engineering teams to integrate ML models into production systems

Qualifications

• > 5 years of experience

• Expert-level Python programming

• Advanced knowledge of MLOps principles and practices

• Extensive experience with AWS cloud services (EC2, S3, Lambda)

• Proficiency in Docker for containerization

• Good understanding of cutting-edge image editing and computer vision algorithms

• Experience with model monitoring, versioning, and lifecycle management

• Familiarity with machine learning frameworks (PyTorch etc.)

• Knowledge of infrastructure as code (Terraform, CloudFormation)

• Background in Apache Kafka for real-time data streaming is a plus

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• Push the Limits: Strive for ambitious goals with no excuses.

• Get it Done: Resilient, lean, and hands-on, with a focus on continuous improvement.

• Dream Team: Foster honest feedback, emotional connections, and a “Team 1” mindset prioritizing collective excellence.

• Hands-on Leadership: Actively engages with the team, setting an example in delivery and technical execution.

• Entrepreneurial Mindset: Operates as a “late cofounding CTO,” taking full ownership of the company’s technical and strategic evolution.

• Problem-Solving:

  • Prioritizes pragmatic, actionable solutions with a scientific approach.

  • Embraces continuous improvement with a focus on quality and performance.

  • Stays composed and maintains perspective under pressure, balancing firmness with empathy.

• Communication:

  • Effectively inspires teams, persuades stakeholders, and drives alignment.

  • Practices radical candor—clear, honest, and pragmatic communication.

• Customer-Centricity: Deeply understands client needs and product value delivery.

• 2 calls (with HR & team members)

• 1 Business case

• 1 Call with our CEO

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• Reference check

• Proposal