15 annunci per il ruolo di remote - firenze, toscana (recruiting in corso)

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Lead Engineer, Disciplinary Engineering and Science - Mathematics & Data Science (M/F/D)

Baker Hughes -
Firenze, Toscana

Candidati adesso

Dettagli della posizione

Tempo pieno

Qualifiche

Manutenzione
Database
C++
Machine learning
Graph databases
Python

Descrizione completa della posizione

Are you passionate about AI applied to Design and Controls?

Do you enjoy collaborating with multidisciplinary teams to solve complex problems?

Join our Artificial Intelligence & Development team

Our team provides industry-leading products and services that optimize the production and processing of energy. You will contribute to our future as an AI player in the Energy Transformation industry.

We implement and adapt AI algorithms across a broad variety of projects. These include predictive maintenance and defect detection, control and robotics, design optimization and simulation, unmanned inspections and many others. Our team deploys production-ready code in Cloud and Edge environments to make energy products more efficient, reliable, safe and sustainable.

Partner with the best

You will be instrumental in our mission to make energy safer, cleaner and more efficient through intelligent technologies. If you have Simulation and Controls background and AI experience, we would like to hear from you.

As Lead AI Specialist for engineering and controls, you will be responsible for:

Collaborating with multidisciplinary teams in the definition of new AI-Powered Engineering workflows for Product Optimization and Simulation (in terms of performance, manufacturability, controllability)

Leading technical development of research and development projects on the combination of AI and engineering methodologies.

Developing and integrating software components for AI applications according to customer and technical requirements

Checking availability and relevance of internal and external data sources

Proposing, and leading new data collection activities. Cleaning and validating data

You will work with:

AI Product Owners to define project technical goals and requirements

AI Engineers to define the project software architecture and maintenance/retraining strategy

Engineering Subject Matter Experts to adapt AI technology to the industry needs

Fuel your passion

To be successful in this role you will:

Have experience in defining the technical requirements and expectations of AI solutions for engineering applications.

Have deep understanding of Machine Learning and AI algorithms for regression, classification and anomaly detection tasks applied to tabular data with uncertainty quantification and explainability requirements.

Have proven experience of applying AI algorithms for dynamical data sources (time series) regression, clustering, anomaly detection and uncertainty quantification.

Have experience in combining models with data from different sources and hybrid modelling approaches.

Have experience in defining models for 3D/Graph data types.

Have proven experience with optimization algorithms (e.g. gradient based, model based, non-parametric for parametric and non-parametric inputs) and active learning.

Have experience with traditional control algorithms calibration, MPC and RL.

Have experience in software programming languages including Python, C++

Demonstrate working knowledge of modern agentic frameworks requirements.

Proven track record of keeping up-to-date with industry trends and technology developments in the field of AI applied to Engineering.

Demonstrate working knowledge of model deployment techniques and edge serving.

Demonstrate working knowledge of turbomachinery thermodynamics, chemistry, rotor dynamic.

Demonstrate working knowledge in databases, Test Driven Development and Agile Development methods.

Work in a way that works for you

We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:

Occasionally working remotely from home or any other work location

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

The Virtual Port

This is remote role, with occasional travel to one of our local virtual ports.

We want to play a role in the energy transition through the acceleration of digital transformation and the application of intelligent technologies. To make this vision a reality, we need people who are creative, curious and eager to change the world.

We are convinced that freedom and diversity in ideas and experiences are the main drivers of innovation.

We are a group of passionate sailors who appreciate freedom, opportunity, and risk. Our offices are like ports of call, ready to welcome our team and facilitate sharing experiences. If you share our vision, we would like to hear from you.

The initial pay range for this position will be EUR 43,600 To 59,400.

The provisions of Contratto Collettivo Industria Metalmeccanica e della installazione di impianti will be applied to this position. Section VI – Titolo IV of that collective bargaining agreement relates to pay.

The Baker Hughes internal title for this role is: Lead Engineer, Mathematics & Data Science, Disciplinary Engineering and ScienceAbout Us:

We are an energy technology company that provides solutions to energy and industrial customers worldwide. Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward – making it safer, cleaner and more efficient for people and the planet.

Join Us:

Are you seeking an opportunity to make a real difference in a company that values innovation and progress? Join us and become part of a team of people who will challenge and inspire you! Let’s come together and take energy forward.

Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

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