Lead AI Engineer

Baker Hughes; Vibo Valentia; Ibrido; EUR 55.000 - 75.000; Tempo pieno

Descrizione del lavoro

A leading energy technology company is seeking a Lead AI Engineer to develop and integrate software components for AI applications. The successful candidate will have a Master's in Computer Science and experience in Python, Java, and C++. Join us for a hybrid work experience that prioritizes your well-being and professional growth.

Servizi

Work-life balance policies

Comprehensive private medical care

Life insurance and disability programs

Competenze

• Master's in relevant field required.
• Experience in software programming languages including Python, Java, C++.
• Knowledge of DevOps processes, MLOps, CI/CD, and GitHub.

Mansioni

• Develop and integrate software components for AI applications.
• Support scale-up and deployment of AI applications.
• Propose and lead new data collection activities.

Conoscenze

Software Development

DevOps Process

Machine Learning

Cloud Computing

Containerization

Formazione

Master's in Computer Science, Machine Learning, or related field

Strumenti

Python

Java

C++

AWS

Azure

Descrizione del lavoro

Overview

Do you have experience with and passion for Artificial Intelligence?

Are you a Lead Engineer looking for a new opportunity?

Join our Artificial Intelligence Team

We implement and adapt AI algorithms across a broad variety of projects. These include document understanding, predictive maintenance, defect detection by computer vision, control, robotics.

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 Software Development and DevOps knowledge, we would like to hear from you.

As a Lead AI Engineer, you will be responsible for:

• Developing and integrate software components for AI applications
• Developing and testing software components according to customer and technical requirements
• Integrating, verifying, and validating AI software applications and tools
• Supporting scale-up and deployment of AI applications
• Checking availability and relevance of internal and external data sources
• Proposing, and leading new data collection activities. Cleaning and validating data

Fuel your passion

To be successful in this role you will:

• Have a Master\'s in Computer Science, Machine Learning, Artificial Intelligence, or a related field
• Have experience in software programming languages including Python, Java, C++
• Have expertise in Software Development and DevOps Process such as MLOps, CI/CD, GitHub, AngularJS
• Be able to demonstrate experience in containerisation, microservices and cloud-based design
• Have good experience with AWS or Azure
• Be able to demonstrate understanding of architecture and infrastructure design
• Have knowledge of Machine Learning algorithms and AI tools such as Computer Vision, NLP, RPA
• Be able to demonstrate understanding of Web Services protocols such as REST, SOAP and API design for extensibility and portability

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:

• Hybrid

Working with us

Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.

Working for you

Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect:

• Contemporary work-life balance policies and wellbeing activities
• Comprehensive private medical care options
• Safety net of life insurance and disability programs
• Tailored financial programs
• Additional elected or voluntary benefits