ML Engineer

Job Description

Join our energetic team as a ML Engineer, where you will be responsible for enhancing machine learning workflows and systems. The ideal candidate will be adept at working with large datasets, developing algorithms, and utilizing different programming languages to facilitate our mission of creating impactful AI products.

Responsibilities

• Lead the development of machine learning projects from conception to deployment.
• Work with stakeholders to define AI strategies and roadmaps.
• Integrate machine learning models with existing software systems.
• Monitor and optimize system performance post-deployment.
• Research and implement the latest methodologies in machine learning.
• Provide technical guidance within the team for machine learning projects.

Requirements

Education

• Bachelor's degree in a relevant field
• Master’s degree in Data Science or Machine Learning is preferred

Experience

• 3+ years in machine learning or data-centric roles

Technical Skills

• ML frameworks (Keras, PyTorch)
• SQL

Soft Skills

• Problem-solving
• Presentation skills

Certifications

• Certified Data Scientist
• TensorFlow Developer Certificate

Languages

• English: Fluent

Advantageous

• Experience with containerization (Docker, Kubernetes): Knowledge of Docker and Kubernetes for deployment and scalability.
• Familiarity with DevOps practices: Understanding of DevOps methodologies for integrating ML workflows.

Benefits

• Medical aid with dental and vision cover
• Pension plan with employer match
• Remote work options available
• Employee training and education reimbursements

Company Culture

• Diversity and Inclusion: We value diversity and strive to create an inclusive environment for all employees.
• Work-Life Balance: Fostering a work-life balance is important to us; we have flexible schedules to support this.
• Employee Well-being: We prioritize the well-being and health of our employees through various initiatives.