Machine Learning

2 settimane fa


Rome, Italia NLP PEOPLE A tempo pieno
About the job

Objective:

Works with data scientist, data engineer and data architect to automatize, optimize and scale data products to ensure the industrialization and the performance of algorithms.

Responsibilities: • Works with stakeholders to formulate code approaches to solve problems using algorithms and data sources in context of customer, engineering, and business needs. • Will use data exploration techniques to discover new opportunities or to find the best performance. • Will interpret the results of analyses, validate approaches, and learn to monitor, analyse, and iterate to continuously improve and ensure the data product are scalable. • Will engage with stakeholders to produce clear, compelling, and actionable insights that influence product and service improvements that will impact customers. • Will also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of the data… product. • Will participate together with the DevOps team in choosing the best operational architecture. • Will monitor the performance of ML models and implement the best technological solution within the operational architecture. • Will have a strong relationship with the infrastructure team and develop using HTTP API logic in frameworks such as Lambda architecture.

Qualifications: • 5+ years of engineering experience using large data systems on SQL, PySpark, Spark, etc. • 5+ years of experience using one or more programming or scripting language like Python, Scala, PySpark or C# to work with data. • 5+ years of experience using tools like Python, R, MATLAB, AMPL, SAS, and other relevant data science tools/environments. (Jupyter Notebook) • 5+ years of experience developing AI and ML pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD automation; and DevOps principles • 2+ years of prior experience implementing HTTP REST APIs. • 2+ years of experience working in Azure Cloud • Be familiar with ML algorithms, AI use cases and applications. • Have knowledge about data engineering concepts, tools and automation processes (DataOps) since data pipelines and architectures provide the base for building AI solutions as all-in-one Databricks

Skills and Competencies: • Behavioural skills: • Strong collaboration skills • Objective Oriented • Accountable; takes ownership and pride in their work • Flexibility and adaptation to changing environments. • Ability to work in an agile scrum project team • Customer Orientation. • Complex problem-solving and analytical skills • Strong written and verbal communication skills • Be able to explain data product process to software developers • Continuous improvement and creativity. • Passion to learn world class techniques and tools. • Ability to multi-task, prioritize and be detail-oriented • Other requirements: • Degree in Computer Science, Statistics, Mathematics, Economics, or similar. • Master in Artificial Intelligence will be preferred. • Fluent written and spoken English. (Level C1) • Knowledge of the insurance business and its business processes in all its areas (nice to have)

Modalità di lavoro: ibrida – ufficio Torino o Milano + 12gg di smartworking/mese

La ricerca è rivolta ai candidati ambosessi (l.903/77). Ti preghiamo di leggere l’Informatica Privacy ai sensi dell’Art. 13 del Regolamento (UE) 2016/679 sulla protezione dei dati (GDPR).

Tagged as: C++, MATLAB, PySpark, Python

Company: Reale Group

Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience)

Tagged as:

Industry ,

Italy ,

Machine Learning ,

NLP

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