Machine Learning Engineer

Responsibility

The common responsibilities for this position include managing and maintaining the MLOps cycle, developing and implementing machine learning models and algorithms, deploying models into production systems, and integrating models into existing infrastructure. The role also involves conducting research on NLP advancements, optimizing and fine-tuning NLP models, collaborating with software engineers, and supporting data scientists in developing solutions. Additionally, the Machine Learning Engineer will benchmark model and pipeline inference performances, assist in computer vision research, and explore new MLOps tools for local experiments. Responsibilities further include documenting research findings, establishing frameworks for analytics, and contributing to knowledge sharing within the team.

Job Growth

Skills Requirement

The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.

• Skill Categories
• Specific Skill Sets

Skills Distribution

The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.

• More Than 70%
• More Than 50%
• More Than 30%
• More Than 10%