20 Job Postings
2025-01-30 - 2026-01-30
The common responsibilities for this position include leading the design, development, and deployment of AI/ML models and systems, including NLP and machine learning solutions. Collaborating with cross-functional teams to translate business requirements into AI-driven solutions and integrating AI functionalities into existing systems is essential. Building, training, and optimizing machine learning and deep learning models for applications such as real-time risk scoring and anomaly detection is required. Developing and implementing data pipelines and ML-Ops processes for model training, deployment, and monitoring is also a key responsibility. Conducting research on emerging AI technologies and assessing their application within relevant domains, as well as mentoring junior engineers and promoting best practices, are integral to the role. Additionally, the position involves preparing technical documentation, ensuring compliance with regulatory standards, and continuously enhancing AI model performance.
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.
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.
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