Machine Learning Engineer

Job Description

As a Machine Learning Engineer, your responsibilities will include building and refining machine learning systems that directly impact business operations. Your role will involve understanding the data requirements, preparing datasets, and applying machine learning algorithms to develop predictive models. You will help shape our AI strategies and work with the latest technologies to ensure our mission of revolutionizing the industry continues. Ideal candidates are those who embrace challenges and thrive in collaborative environments.

Responsibilities

• Build and refine machine learning pipelines for production-level deployment.
• Engage with data scientists to optimize experiments and achieve actionable results.
• Identify and troubleshoot issues within the machine learning workflow.
• Create scalable solutions and workflows to enhance the model building process.
• Contribute to code reviews and best practices in machine learning.
• Participate in exploratory data analysis and validations.
• Assist in the transition of proof-of-concept models into production systems.
• Actively contribute to team knowledge sharing and mentoring of junior engineers.

Requirements

Education

• Bachelor's degree in Computer Science, Data Science or relevant field
• Master's degree in Data Analytics or Machine Learning is an advantage

Experience

• 2+ years of relevant experience in machine learning or AI projects

Technical Skills

• R programming
• SQL

Soft Skills

• Creative Problem Solving
• Interpersonal Skills

Certifications

• AWS Certified Machine Learning
• Google Cloud Professional Data Engineer

Languages

• English: Fluent

Advantageous

• Knowledge of Natural Language Processing (NLP): Experience in applying NLP techniques in projects.
• Participation in Kaggle competitions: Engaged in competitive data science challenges and projects.

Benefits

• Comprehensive health, dental, and vision plans
• Retirement savings plans with company contributions
• Opportunities for continuous learning and growth
• Generous annual leave policy
• Team-building and recreational activities

Company Culture

• Collaborative Spirit: Collaboration is key to our success, encouraging teamwork and shared goals.
• Growth and Development: Continuous professional development is at the heart of our culture, enabling career advancement.