ML Engineer

Job Description

As an ML Engineer, you will be key in shaping our AI capabilities. You’ll work on real-world data, deploying models that will have an immediate impact. Your expertise will help shape the future of our technologies, making them more scalable and efficient.

Responsibilities

• Architect and implement end-to-end machine learning solutions.
• Monitor model performance and retrain models as necessary.
• Assist in establishing best practices for machine learning in the organization.
• Work closely with software engineers to integrate ML components.
• Analyze user feedback to refine machine learning applications.
• Provide mentorship to junior engineers in ML disciplines.

Requirements

Education

• Bachelor's in Computer Science or fields related to AI
• Master’s degree preferred

Experience

• 3-5 years of experience in ML projects

Technical Skills

• Machine Learning Frameworks
• API Development

Soft Skills

• Analytical Thinking
• Adaptability

Certifications

• Google Cloud Professional Data Engineer
• Machine Learning Certification from a reputed institution

Languages

• English: Fluent

Advantageous

• Understanding of ethics in AI: Knowledge of ethical considerations and biases in machine learning systems.
• Experience with data visualization tools: Ability to use tools like Tableau or Power BI for presenting data insights.

Benefits

• Health, dental, and vision insurance plans.
• Flexible work hours to promote work-life balance.
• Access to continuous learning resources.
• Employee wellness initiatives.

Company Culture

• Continuous Learning: We are committed to the professional growth of our team through ongoing training and development opportunities.
• Work-Life Balance: We believe in fostering a healthy work-life balance with flexible working arrangements.
• Team Spirit: Our team thrives on collaboration and mutual support, allowing us to achieve common goals together.