Machine Learning Engineer

5 giorni fa


turbigo, Italia Sky Italia A tempo pieno

Role overviewThe candidate will be a key person for advanced analytics usage within DP&A by promoting Machine Learning (ML) approaches and maintaining/improving the current Artificial Intelligence (AI) end to end infrastructure with the aim to maximize the values of data and push toward the evolution of new use cases thanks to the adoption of the Big Data ecosystem.Main activitiesDesign ML systems to automate models training, prediction and performance validationWorking on prototypes, experiment new approaches and test several solutions on ML algorithms and tools applicationIndustrialize end to end solutions by defining and applying best practices in ML Ops fieldAnalyze huge volumes of historical data to make predictions and trends forecastingMaximize the value of available data by proposing new potential use cases on top of heterogeneous datasets, raw data and complex models with the application of descriptive, predictive and prescriptive analysis techniquesResponsibilitiesResearch and implement appropriate ML algorithms and tools, design ML systems, propose AI applications according to requirements and data science prototypesSelect appropriate datasets, design efficient data models and data representation methodsUnderstanding business objectives and propose/developing models that help to achieve them, along with metrics to track their progressManaging available resources such as hardware, data, and team staffing so that project deadlines are metDesign and deploy to production end to end ML pipelines by using best practices for monitoring/retraining/redeployingAnalyzing/ranking ML algorithms that could be used to solve a given problem and perform statistical analysis and fine-tuning according to test resultsDefine the preprocessing or feature engineering to be done on a given dataset, analyze models underperformance and design strategies to overcome themSkills requiredProficiency with ML frameworks, libraries, data structures, data modeling, and software architectureKnowledge of Cloud environments with experience on GCP Platform Cloud-based solutions (e.g. BigQuery, Cloud Pub/Sub, AI Platform, GCS, Cloud Functions)Advanced proficiency with Python code writing and basic libraries for ML and data science (e.g. NumPy, Pandas, Scikit-learn, TensorFlow)Expertise in visualizing and manipulating big datasetsKnowledge of SQL/NoSQL language/DB: querying, modeling and data structuresKnowledge of maintenance and ongoing development of continuous build/integration infrastructureExcellent analytical and problem-solving abilities with in-depth knowledge of mathematics and statisticsAt least two years’ experience as a ML engineer and Proficiency with English languageMaster's degree in computer science, data science, mathematics, or a related field.#J-18808-Ljbffr



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