ML Engineer

Job Description

As an ML Engineer, you will leverage your expertise in machine learning techniques to develop advanced models that solve complex problems. You should have experience working with big data frameworks and be proficient in tools such as TensorFlow and PyTorch. This is an exciting opportunity to contribute to impactful projects at a leading AI company.

Responsibilities

• Architect and deploy scalable machine learning models.
• Conduct research on new machine learning techniques.
• Optimize existing models for better performance.
• Provide regular updates to management on project status.
• Participate in hackathons to foster innovation.
• Build datasets for supervised and unsupervised learning tasks.
• Automate repetitive machine learning tasks for efficiency.

Requirements

Education

• Bachelor's degree in Data Science, Computer Science, or Mathematics
• Ph.D. in related fields is a plus

Experience

• 5+ years of experience with significant exposure to machine learning frameworks and tools

Technical Skills

• Machine Learning Algorithms
• Big Data Technologies
• Data Visualization

Soft Skills

• Critical Thinking

Certifications

• AWS Certified Machine Learning Specialty

Languages

• English: Fluent

Advantageous

• Familiarity with cloud computing platforms like AWS or Azure: Knowledge of deploying ML models on cloud platforms.
• Experience with CI/CD pipelines for machine learning: Understanding of continuous integration and continuous deployment for ML workflows.

Benefits

• Medical and dental aid
• Retirement savings plan
• Flexible working arrangements
• Opportunities for professional development

Company Culture

• Innovation: We encourage innovative thinking and problem-solving among our employees.
• Collaboration: We believe in teamwork and support our employees to work together effectively.
• Growth Opportunities: We provide opportunities for professional development and continuous learning.