52 Job Postings
2025-07-17 - 2026-07-17
The common responsibilities for this position include designing, developing, and refining machine learning models using structured and unstructured data. Collaborating with business stakeholders to identify, scope, and prioritize machine learning use cases aligned with strategic goals is essential. Translating data science outputs into actionable business insights and communicating results effectively is required. The role involves tracking and optimizing AI products to ensure they deliver intended business value while staying updated with advancements in generative AI and machine learning. Additional responsibilities include designing and maintaining scalable data pipelines for processing unstructured text, optimizing ETL workflows, and collaborating with engineers to productionize models. The position also requires developing and fine-tuning NLP models, implementing model monitoring, and building AI agents for automating analysis tasks. Conducting data science research, overseeing the end-to-end model lifecycle, and ensuring solutions are scalable and compliant with industry regulations are also key duties. Furthermore, the role involves mentoring junior analysts, conducting exploratory data analysis, and integrating emerging AI technologies into business processes.
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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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