Machine Learning Engineer

Job Description

As a Machine Learning Engineer at Tech Innovations Inc., you will implement and optimize machine learning algorithms to solve real-world problems. We're looking for someone who is proficient in programming and possesses a data-driven mindset, eager to transform data into actionable insights.

Responsibilities

• Build, train, and evaluate predictive models using machine learning techniques.
• Work closely with product managers to understand user requirements.
• Utilize cloud-based platforms for model deployment and scaling.
• Create data visualizations to communicate model performance.
• Investigate and resolve performance issues with machine learning models.
• Mentor junior engineers and assist with their development.
• Integrate machine learning solutions with existing applications.

Requirements

Education

• Bachelor's degree in Computer Science or Engineering
• Master's degree in Data Science or related field is a plus

Experience

• 3+ years experience in ML and AI-based projects

Technical Skills

• TensorFlow
• Data Visualization Tools

Soft Skills

• Creative Problem Solving
• Effective Communication

Certifications

• Google Professional Machine Learning Engineer
• Azure Data Scientist Associate

Languages

• English: Fluent

Advantageous

• Familiarity with DevOps practices: Experience in using CI/CD for ML model deployment.
• Published Research in AI/ML: Evidence of research work in reputable journals or conferences is a plus.

Benefits

• Comprehensive health benefits
• Remote work options available after a probation period
• Employee stock options
• Wellness initiatives and support

Company Culture

• Diversity and Inclusion: We believe that a diverse team leads to better insights and creativity, and we celebrate differences.
• Continuous Improvement: We are committed to personal and professional growth, regularly offering training and development opportunities.
• Integrity: We conduct our business with the highest ethical standards, ensuring transparency and accountability in everything we do.