ML Engineer

Job Description

We're on the lookout for an ML Engineer passionate about artificial intelligence and machine learning. The ideal candidate will develop ML models and create data-driven solutions that enhance our products and services. Strong analytical skills and a proactive approach are essential.

Responsibilities

• Build reliable machine learning models and pipelines operational for production.
• Collaborate on data-driven projects, providing expertise on machine learning techniques.
• Analyze model outcomes to ensure alignment with company goals and objectives.
• Identify and handle data quality issues, making recommendations for improvement.
• Support the lifecycle of ML projects from idea to quantitative results.
• Enhance existing models with new data and technological innovations.
• Foster a culture of innovation and growth within the engineering team.

Requirements

Education

• Bachelor's degree in Mathematics, Statistics, Computer Science, or related field
• Master's degree in Data Science or a closely related field is beneficial

Experience

• 5+ years of experience as an ML Engineer with a track record of successful projects

Technical Skills

• R Programming
• Deep Learning

Soft Skills

• Creative Thinking
• Adaptability

Certifications

• Certified Analytics Professional (CAP)
• Google Cloud Professional Data Engineer

Languages

• English: Fluent

Advantageous

• Experience in DevOps practices: Understanding of how to incorporate DevOps in ML pipelines.
• Published Research in AI/ML: Any academic or professional publications that showcase your expertise.

Benefits

• Comprehensive medical aid and health insurance
• Generous leave policy including family responsibility leave
• Opportunities for career advancement and skills training
• Team-building events and social activities

Company Culture

• Diversity and Inclusion: We value diversity and believe in creating an inclusive environment for all.
• Learning Environment: Where continuous learning is supported and encouraged.
• Community Engagement: We actively engage with the community and contribute positively.