
emagine Polska
AI‑ML Engineer (Full‑time, hybrid) – develop and deploy generative/predictive AI models for financial crime prevention. Responsibilities: ML app delivery, performance, stability. Requirements: 2+ yrs Python, Git, Bash/Linux, Docker, MLflow, PySpark, Hadoop, SQL/Oracle, AWS, Jenkins, Jira/Confluence. Benefits: hybrid work 3 days/week, B2B/permanent contracts.
Project information: Industry: Banking Location: hybrid model 3x/week in office (Gdynia/Gdańsk/Warsaw/Lódź) Remuneration: 170 zl/h net+vat Type of contract: B2B Duration: Long-term Summury:The AI - ML Engineer role focuses on developing and deploying generative and predictive AI models to support the Group Financial Crime Prevention team. This position operates within a dynamic and experimental environment, akin to a startup, within an established IT organization.Main Responsibilities Facilitate the build and deployment of Machine Learning applications. Collaborate with team members on AI project development. Utilize a variety of tools and methods to optimize AI model delivery. Ensure application stability and performance across different platforms. Key Requirements GIT experience. 2+ years of Python experience. Proficiency in Bash and Linux. Experience with Docker. Knowledge of MlFlow. Experience in PySpark. Familiarity with Hadoop. Database experience (MS SQL or Oracle). Experience with Artifactory or Nexus repository. Python, Bigdata, and AWS development experience. Experience with Jenkins pipelines. Familiarity with Github or BitBucket. Practical experience with Jira/Confluence. Nice to Have Kubernetes experience. KubeFlow experience.
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| Opublikowana | około miesiąc temu |
| Wygasa | za około 2 miesiące |
| Rodzaj umowy | B2B, PERMANENT |
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