12624 - Artificial Intelligence & Machine Learning Developer

Dettagli della offerta

CMCC Position Artificial Intelligence Machine Learning Developer Deadline: October 31st, 2024 WHAT WE ARE LOOKING FOR Are you ready to apply your AI/ML expertise to tackle one of the most pressing global challenges?
Join our dynamic and innovative team at CMCC, where your proactivity and technical skills can drive tangible outcomes in climate risk research.
We are looking for an AI/ML Developer who will support cutting-edge research initiatives by collaborating with our multidisciplinary team to design, implement, and optimize machine learning applications for climate data analysis and multi-risk modelling.
This role offers a unique opportunity to develop your expertise in AI/ML while contributing to impactful projects in a fast-paced and collaborative environment.
ABOUT US CMCC Foundation is a cross-cutting scientific research center on climate change and its interactions with the environment, society, the world of business, and policymakers.
Our work aims to stimulate sustainable growth, protect the environment, and develop strategies for the adaptation and mitigation of climate change.
CMCC's core objective is to conduct cutting-edge science, to train the next generation of scientists, and to be a beacon for climate modelling.
ROLE As an AI/ML Developer, you will work closely with the RAAS (Risk Assessment and Adaptation Strategies) research team, contributing to the development of advanced machine learning models tailored to climate multi-hazard risk assessment.
RESPONSIBILITIES The AI/ML Developer will support the RAAS research team, with: Preprocess and prepare diverse datasets, ensuring data quality and consistency for ML models; Design, develop, and implement machine learning models using established frameworks (e.g.
PyTorch, TensorFlow, Keras); Experiment with and fine-tune model architectures and hyperparameters to improve performance and scalability; Optimize model performance and efficiency; Integrate machine learning models into existing software systems and digital twin platforms used for climate data analysis; Stay up to date with the latest AI/ML research, tools, and techniques; Contribute to scientific publications and research papers based on project findings; Participate in internal knowledge sharing and contribute to the team's collective expertise.
REQUIREMENTS PhD or Master's degree in Computer Science, Computer Engineering, or a related research field; Proven experience in machine learning model development, feature engineering, and model evaluation; Strong proficiency in Python and key libraries such as numpy, pandas, xarray, scikit-learn, and matplotlib; Hands-on experience with deep learning frameworks like PyTorch, TensorFlow, or Keras; Experience with geospatial data processing tools and GIS analysis; Solid understanding of (geo)statistics and the ability to work with climate or environmental datasets; Excellent knowledge of the English language; Ability to work independently as well as collaboratively in a team environment; High level of accuracy, analytical thinking, and attention to detail.
DURATION, COMPENSATION BENEFITS The AI/ML Developer will be based in Venice CMCC office.
The appointment period will be initially of 12 months (possible extension based on performance).
Gross annual salary will be based on qualification and experience.
Welfare package, for minimum 12 months contract.
Flexible working time as per internal policies.
Support during the immigration process, if needed.
PROTECTED CATEGORY CMCC is an equal-opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status, and other legally protected characteristics.
Applicants responding to this posting declare that they have read, understood and agreed to the "Official Rule for the CMCC Personnel recruitment".
We will keep your information on file for up to 1 year.
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Salario Nominale: Da concordare

Risorsa: Talent_Dynamic-Ppc

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