Machine Learning Engineer

Job Description

As a Machine Learning Engineer, you will leverage your technical skills to build and optimize predictive models that drive decision-making across multiple domains. Engage in data analysis, feature engineering, and the implementation of machine learning algorithms to propel our initiatives forward.

Responsibilities

• Implement, maintain, and update machine learning models post-deployment.
• Conduct performance analysis and tune predictive models.
• Collaborate with data engineers to ensure data availability and accessibility.
• Research and apply new machine learning methods and technologies.
• Mentor junior team members in machine learning best practices.

Requirements

Education

• Bachelor's degree in a relevant field
• Master's degree will be an advantage

Experience

• 3+ years of experience in machine learning projects or relevant roles

Technical Skills

• R
• SQL

Soft Skills

• Adaptability
• Effective communication

Certifications

• Google Professional Data Engineer
• Machine Learning Specialization from Coursera

Languages

• English: Fluent

Advantageous

• Experience with Natural Language Processing: Knowledge of techniques for language generation and understanding.
• Knowledge of Python Libraries: Familiarity with libraries like Keras and PyTorch for developing ML models.

Benefits

• Health, dental, and vision coverage
• 401(k) retirement plan with matching contributions
• Flexible work hours and work-from-home options
• Access to learning and development resources

Company Culture

• Learning and Development: We support continuous learning and provide opportunities for professional development through various programs.
• Work-Life Balance: Maintaining a healthy work-life balance is a priority, with flexibility in work arrangements.
• Empowerment and Ownership: We empower our employees to take ownership of their projects and make impactful decisions.