ML Engineer

Job Description

We are seeking a talented ML Engineer to lead our machine learning initiatives. In this role, you will develop and deploy advanced machine learning models, collaborate with cross-functional teams, and implement data-driven solutions to enhance business outcomes. If you have a passion for artificial intelligence and innovative tech, we want you!

Responsibilities

• Create scalable ML models that can be used in production environments.
• Aid in the deployment of machine learning systems and monitor their performance.
• Engage with stakeholders to understand their data needs and objectives.
• Ensure compliance with data privacy regulations and ethical standards.
• Contribute to a culture of innovation and continuous learning in the team.
• Lead technical discussions and propose enhancements to existing processes.
• Mentor junior team members and assist in their professional development.

Requirements

Education

• Bachelor's degree in artificial intelligence, computer science, or a related field
• Master's degree preferred

Experience

• 5+ years of experience in machine learning development or data science

Technical Skills

• Deep Learning
• Natural Language Processing (NLP)

Soft Skills

• Creative problem solving
• Project management

Certifications

• Microsoft Certified: Azure Data Scientist Associate
• IBM Data Science Professional Certificate

Languages

• English: Fluent

Advantageous

• Familiarity with Big Data technologies (Hadoop, Spark): Experience working with large datasets and ML frameworks.
• Knowledge of Bayesian statistics: Understanding of statistical methods for model evaluation.

Benefits

• Health insurance with additional wellness benefits
• Pension contributions matched by the company
• Work-life balance initiatives
• Support for continuous learning and certifications

Company Culture

• Inclusivity: Diversity and inclusivity are at the core of our company culture.
• Empowerment: We empower our employees to take ownership of their work and contribute to their fullest potential.
• Responsibility: We prioritize ethical practices and social responsibility in our projects.