As an ML Engineer, you will play a pivotal role in developing advanced machine learning algorithms and deploying models that drive innovation in our services. We are looking for a proactive individual with a track record of successful ML projects.
Responsibilities
Build robust machine learning frameworks for data analysis.
Identify key operational challenges to improve algorithms.
Collaborate in research and development of innovative technologies.
Collaborate to deploy models in production environments.
Participate in code reviews and maintain high-quality standards.
Train and mentor junior team members in machine learning techniques.
Requirements
Education
Bachelor's degree in Data Science or Machine Learning
Master's degree in a related field is a plus
Experience
2+ years of relevant working experience
Technical Skills
SQL
Deep Learning Frameworks
Soft Skills
Problem-solving
Communication Skills
Certifications
Google Professional Machine Learning Engineer
Microsoft Certified: Azure Data Scientist Associate
Languages
English: Fluent
Advantageous
Familiarity with Natural Language Processing: Understanding of NLP techniques and applications.
Experience with API Development: Proficient in building APIs to interact with ML models.
Benefits
Health, dental, and vision insurance
Competitive salary with performance bonuses
Flexible working hours
Employee engagement activities and perks
Company Culture
Continuous Improvement: We focus on growth and development opportunities for our employees.
Respect and Transparency: We maintain a respectful and transparent culture where everyone can thrive.
Status: Closed
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