Machine Learning Engineer

Responsibility

The common responsibilities for this position include designing, developing, and deploying machine learning models and applications, particularly for various tasks such as NLP, computer vision, and predictive analytics. Responsibilities also encompass training and optimizing models, conducting data preprocessing, feature engineering, and performance evaluation. The role involves collaborating with cross-functional teams to integrate ML solutions into existing systems and building and maintaining automated pipelines for model training and monitoring. Additionally, responsibilities include conducting research on advanced AI techniques, developing and implementing algorithms, creating production-grade code, and ensuring adherence to best practices in AI and machine learning development. Furthermore, the position requires staying updated on the latest advancements in the field and translating technical requirements into innovative solutions.

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%