Oferty dla Python praca Wysokomazowiecki Powiat

31.08.2026 | Pełny etat | Wysokie Mazowieckie | ITDSPractices in AI infrastructure and MLOps You're ideal for this role if you have Minimum 4 years of experience in MLOps, AI Infrastructure, or related engineering fieldsStrong proficiency in Python and scripting languages such as BashHands-on experience with CI/CD tools like Jenkins, GitLab CI/CD

31.08.2026 | Pełny etat | Wysokie Mazowieckie | ITDSEngineering, preferably within banking or ng expertise in Spark and Java or Scala, with additional knowledge of Python, DevOps, CI/CD tools, and nt in English (additional Polish or French skills are a plus).An analytical mindset with excellent problem-solving skills.A proactive

31.08.2026 | Pełny etat | Wysokie Mazowieckie | ITDSHave Minimum 4 years of experience as a Data Scientist, AI Scientist, or similar roleProven expertise working with large datasets in financial or banking sectorsStrong programming skills in Python, with experience using Pandas, Scikit-learn, TensorFlow, or PyTorchSolid understanding of statistics

31.08.2026 | Pełny etat | Wysokie Mazowieckie | ITDSOr 15 years (Sr. Principal) of software engineering s-on coding expertise with modern backend technologies like Python, Java, or Go.Deep experience designing, building, and operating cloud-native applications on AWS, Azure, OCI, or ng understanding of distributed systems

31.08.2026 | Pełny etat | Wysokie Mazowieckie | ITDSYears of professional experience in big data engineering, ideally within banking or finance ng expertise in Spark and Java, with additional knowledge of Python (nice to have), DevOps, CI/CD tools, and nt in English (spoken and written).Analytical mindset with excellent

31.08.2026 | Pełny etat | Wysokie Mazowieckie | ITDSThe financial sector You're ideal for this role if you have Minimum of 4 years of experience as an AI Engineer, Machine Learning Engineer, or Data ScientistStrong proficiency in Python and frameworks like TensorFlow or PyTorchProven experience in building, training, and deploying ML models in a production