Machine Learning Engineer

Job Description

We’re on the lookout for a talented Machine Learning Engineer who is excited to push the envelope in the rapidly evolving field of artificial intelligence. In this role, you will design and implement machine learning models and algorithms, working collaboratively with cross-functional teams to integrate these technologies into our suite of products. Your insights will empower data-driven decision-making and revolutionize how we approach challenges.

Responsibilities

• Develop and optimize machine learning algorithms for various applications.
• Work closely with product managers to define project requirements and specifications.
• Conduct experiments to test and evaluate ML models and methods.
• Document machine learning processes and maintain records of model performance.
• Assist with the training and mentoring of junior engineers in machine learning practices.

Requirements

Education

• Bachelor's degree in Computer Science, Artificial Intelligence, or a related field
• Master's degree preferred

Experience

• 3+ years of experience in machine learning or data science

Technical Skills

• Python
• TensorFlow
• Scikit-learn
• SQL
• Data Visualization

Soft Skills

• Analytical thinking
• Team collaboration

Certifications

• Certified Data Scientist
• AWS Certified Machine Learning

Languages

• English: Fluent

Advantageous

• Experience with cloud platforms like AWS or Azure: Knowledge of deploying machine learning models in a cloud environment.
• Experience in NLP: Familiarity with natural language processing techniques.

Benefits

• Health and wellness benefits including medical, dental and disability coverage.
• Annual performance bonus contingent on company performance.
• Flexible working hours and remote working options.
• Professional development and continuous learning opportunities.

Company Culture

• Innovation: Our culture thrives on creativity and innovation, encouraging employees to explore new ideas and approaches.
• Team Spirit: We value collaboration and foster a team-oriented environment where everyone's input is respected.
• Diversity: We believe diversity drives innovation and are committed to creating an inclusive work place.