2 152 Posti di lavoro per Neural Networks in Italia

Techyon è l'Head Hunter leader nella ricerca e selezione di professionisti senior e manager nel segmentoInformation Technology .

About the Company :Per importante Società in ambito Luxury, leader nel proprio settore di riferimento, i nostri Recruitment Engineer ricercano unAI Engineer.

La posizione che guidi la trasformazione dei processi aziendali attraverso l’adozione di soluzioni diIntelligenza Artificiale. La figura sarà responsabile di identificare aree di miglioramento nei processi interni, coordinare lo sviluppo e l’implementazione di soluzioni AI e garantire un impatto misurabile in termini di efficienza ed efficacia operativa.

Nello specifico la risorsa dovrà svolgere attività di:

• Analizzare i processi aziendali esistenti per individuare opportunità di efficientamento attraverso tecnologie di AI e automazione.
• Definire la roadmap strategica per l’adozione dell’AI, in linea con gli obiettivi aziendali.
• Coordinare progetti di sviluppo AI, dalla fase di ideazione fino alla messa in produzione, collaborando con team tecnici e funzioni di business.
• Supervisionare lo sviluppo di modelli di Machine Learning, Natural Language Processing e sistemi intelligenti, valutandone l’impatto operativo.
• Assicurare la gestione del cambiamento e il coinvolgimento degli stakeholder interni nel processo di trasformazione digitale.
• Monitorare KPI e ROI dei progetti AI implementati, fornendo report e raccomandazioni.
• Collaborare con partner esterni (fornitori, centri di ricerca, startup) per integrare soluzioni avanzate e accelerare l’innovazione.

• Laurea in Informatica, Ingegneria, Economia, Data Science o affini.
• Almeno 1/2anni di esperienzain ruoli legati alla gestione di progetti di innovazione, digital transformation o sviluppo AI.
• Conoscenza di base delle tecnologie AI/ML e dei principali strumenti (es. Python, scikit-learn, TensorFlow, RPA, strumenti di data analytics).
• Esperienza nell’analisi e ottimizzazione dei processi aziendali (es. Lean, BPM, Six Sigma è un plus).
• Competenze di project management (preferibile conoscenza di metodologie Agile/Scrum).
• Eccellenti capacità di comunicazione, leadership e gestione degli stakeholder.
• Ottima conoscenza della lingua inglese (livello minimo B2)

Location :Roma (RM).

#LI-AL2

Are you curious and ready to accept a new challenge in your career? Are you eager to join a dynamic company and bring innovation through your work and skills?
Prometeia offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world.

Prometeia is looking for talented and motivated professionals with a passion for data science and a drive for innovation to join our Data Science team as Junior Deep Learning Engineer , contributing to transformative projects in the banking and insurance sectors.

The Prometeia Data Science team supports the digital transformation of banks and insurance companies using the most advanced data science techniques. Our Deep Learning team develops and delivers new cutting-edge products constituting the foundation for the present and future of these industries. From object detection and image segmentation to foundation models and generative AI, we are committed to transforming initial concepts and emerging technologies into fully developed products. We focus on continuous iteration, prototyping and solution refinement to create valuable and highly innovative services and products. Leveraging advanced Computer Vision techniques – such as segmentation, object detection, and foundation models – along with generative AI methods for time series analysis and synthetic data generation, we deliver cutting-edge solutions that meet real-world needs.

As a Junior Deep Learning Engineer, you will:

• Develop algorithms for real-time object detection (both 2D and 3D), instance/semantic segmentation, depth estimation, scene reconstruction and understanding.
• Develop algorithms to generate synthetic time series data, classification, clustering and anomaly detection.
• Analyze model results to create clear reports.

REQUIRED SKILLS

• BSc or MSc in Computer Science, Computer Vision, NLP, Machine Learning, or related fields.
• Good proficiency in programming languages, especially Python.
• Good knowledge of the English language.
• Experience in Deep Learning models training and ML dataset management.
• Experience with git and Azure Machine Learning or equivalent (GCP Vertex AI, Amazon SageMaker, …).

• PhD degree in Computer Vision, NLP, Machine Learning, Robotics, or related fields.
• Hands-on experience with libraries such PyTorch, Pytorch-Lightning and OpenCV.
• Experience in semi-supervised, self-supervised and weak-supervised learning.
• Track record of publications at conferences related to computer vision, NLP and/or machine learning.

• A problem-solver with a strong analytical mindset.
• Exceptional communication skills and meticulous attention to detail.
• A team player with excellent communication and collaboration skills.
• Passionate about process innovation and driven by curiosity to understand and optimize business processes.

COMPENSATION, WELFARE & BENEFIT
Our history, as well as the future, is based on the value of our people. The biggest investment at Prometeia is in our people, and it concerns every aspect of professional life. We call it 'Total Compensation' and is made up of Compensation - consisting of a fixed and a variable component -, an important Welfare Plan, active since 2015 – we have been among the first to introduce it in Italy - and Benefits, which include all the initiatives undertaken for the well-being of our people.

REMOTE WORKING
Flexibility is an intrinsic value of the way we work. At Prometeia, smart working is an organizational method based on trust, which results in benefits in terms of work/life balance, impact on the environment and optimization of company results, through autonomy and empowerment of people.

PEOPLE PROGRAM
Our evaluation system is based on the full enhancement of people and their continuous dialogue as a stimulus for regular, mutual professional and personal growth. Transparent discussions between managers and team members are set up within the projects, where reciprocal and timely feedback is exchanged. The process is fully digitalized and aimed at continuously improving the development trajectory of the individual and the company.

TRAINING
Prometeia means ongoing training. We provide an average of 11 days of training per year to our people, in person and online. Particular attention is paid to younger colleagues, who are the protagonists of dedicated growth programs, and to the continuous sharing and internal transfer of know-how and skills. On-the-job training is also important, through immediate and direct confrontation with the market.

WIN/WIN POLICY
If you are one of our employees, and you recommend a person who is later recruited, you are entitled to a financial bonus! This is an important opportunity to contribute to the growth of Prometeia as a whole, by attracting acknowledged market professionals and new tech talents.

PHYGITAL MANAGEMENT
Through the dedicated app Pr(Home)teia, we have completely digitalized and integrated the management of our physical and virtual environments. Access to the office, smart working, workstations, meeting rooms, car pooling. everything is just a click away.

COMMUNITY
Our Community is extremely diverse, as are the skills of the people who are part of it and who share its values, and the individuals and organizations that are directly or indirectly involved in our activities. Clients, People of the Group, Alumni, Institutions, Academia, non-profit entities with which we actively collaborate, are stakeholders representing a great value for us, in terms of trust and collaboration.

DIVERSITY
We promote and respect equal opportunities and consider differences as a value. Diversity & Inclusion are fundamental values: from the selection phase to everyday life, also through dedicated training moments to develop individual sensitivities and unicities.

IMPACT
We responsibly take an active role towards the environment, the territories and the communities in which we operate. Our Headquarter in Bologna has obtained the Leed Gold Certification, one of the highest awards that recognizes the performance of the building in terms of energy and water savings, reduction of CO2 emissions, improvement of the ecological quality of the interior, materials and resources used. In the Sustainability Report we report the results achieved within the 17 Sustainable Development Goals (SDGs) of the 2030 Agenda that, drafted by the United Nations in 2016, we have been supporting since 2020.

WEALTH MANAGEMENT
& FINANCIAL DISTRIBUTION

Are you curious and ready to accept a new challenge in your career? Are you eager to join a dynamic company and bring innovation through your work and skills?
Prometeia offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world.

Prometeia is looking for talented and motivated professionals with a passion for data science and a drive for innovation to join our Data Science team as Senior Deep Learning Engineer , contributing to transformative projects in the banking and insurance sectors.

The Prometeia Data Science team supports the digital transformation of banks and insurance companies using the most advanced data science techniques. Our Deep Learning team develops and delivers new cutting-edge products constituting the foundation for the present and future of these industries. From object detection and image segmentation to foundation models and generative AI, we are committed to transforming initial concepts and emerging technologies into fully developed products. We focus on continuous iteration, prototyping and solution refinement to create valuable and highly innovative services and products. Leveraging advanced Computer Vision techniques – such as segmentation, object detection, and foundation models – along with generative AI methods for time series analysis and synthetic data generation, we deliver cutting-edge solutions that meet real-world needs.

As a Senior Deep Learning Engineer, you will:

• Design and develop innovative algorithms for real time object detection (both 2D and 3D), instance/semantic segmentation, depth estimation, scene reconstruction and understanding.
• Design and develop innovative algorithms to generate synthetic time-series data, classification, clustering and anomaly detection.
• Read, understand and transform the most recent published literature into code.
• Analyze model results and highlight the next actions to be taken to improve them.

REQUIRED SKILLS

• MSc or PhD degree in Computer Science, Computer Vision, NLP, Machine Learning, or related fields.
• 2+ years of experience developing and designing Deep Learning algorithms.
• Strong proficiency in programming languages, especially Python and C++, and hands-on experience with libraries such as OpenCV, PyTorch and Pytorch-Lightning.
• Good knowledge of English.
• Experience in Deep Learning models training and ML dataset management.
• Experience with git and Azure Machine Learning or equivalent (GCP Vertex AI, Amazon SageMaker, …).

• PhD degree in Computer Science, Computer Vision, NLP, Machine Learning, Robotics or related field.
• Background in machine learning with experience in large-scale DL models training and evaluation.
• Experience in semi-supervised, self-supervised and weak-supervised learning.
• Track record of publications at conferences related to computer vision, NLP and/or machine learning.

• A problem-solver with a strong analytical mindset.
• Exceptional communication skills and meticulous attention to detail.
• A team player with excellent communication and collaboration skills.
• Passionate about process innovation and driven by curiosity to understand and optimize business processes.

COMPENSATION, WELFARE & BENEFIT
Our history, as well as the future, is based on the value of our people. The biggest investment at Prometeia is in our people, and it concerns every aspect of professional life. We call it 'Total Compensation' and is made up of Compensation - consisting of a fixed and a variable component -, an important Welfare Plan, active since 2015 – we have been among the first to introduce it in Italy - and Benefits, which include all the initiatives undertaken for the well-being of our people.

REMOTE WORKING
Flexibility is an intrinsic value of the way we work. At Prometeia, smart working is an organizational method based on trust, which results in benefits in terms of work/life balance, impact on the environment and optimization of company results, through autonomy and empowerment of people.

TRAINING
Prometeia means ongoing training. We provide an average of 11 days of training per year to our people, in person and online. Particular attention is paid to younger colleagues, who are the protagonists of dedicated growth programs, and to the continuous sharing and internal transfer of know-how and skills. On-the-job training is also important, through immediate and direct confrontation with the market.

Are you curious and ready to accept a new challenge in your career? Are you eager to join a dynamic company and bring innovation through your work and skills?
Prometeia offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world.

Prometeia is looking for talented and motivated professionals with a passion for data science and a drive for innovation to join our Data Science team as Junior Deep Learning Engineer , contributing to transformative projects in the banking and insurance sectors.

The Prometeia Data Science team supports the digital transformation of banks and insurance companies using the most advanced data science techniques. Our Deep Learning team develops and delivers new cutting-edge products constituting the foundation for the present and future of these industries. From object detection and image segmentation to foundation models and generative AI, we are committed to transforming initial concepts and emerging technologies into fully developed products. We focus on continuous iteration, prototyping and solution refinement to create valuable and highly innovative services and products. Leveraging advanced Computer Vision techniques – such as segmentation, object detection, and foundation models – along with generative AI methods for time series analysis and synthetic data generation, we deliver cutting-edge solutions that meet real-world needs.

As a Junior Deep Learning Engineer, you will:

• Develop algorithms for real-time object detection (both 2D and 3D), instance/semantic segmentation, depth estimation, scene reconstruction and understanding.
• Develop algorithms to generate synthetic time series data, classification, clustering and anomaly detection.
• Analyze model results to create clear reports.

REQUIRED SKILLS

• BSc or MSc in Computer Science, Computer Vision, NLP, Machine Learning, or related fields.
• Good proficiency in programming languages, especially Python.
• Good knowledge of the English language.
• Experience in Deep Learning models training and ML dataset management.
• Experience with git and Azure Machine Learning or equivalent (GCP Vertex AI, Amazon SageMaker, …).

• PhD degree in Computer Vision, NLP, Machine Learning, Robotics, or related fields.
• Hands-on experience with libraries such PyTorch, Pytorch-Lightning and OpenCV.
• Experience in semi-supervised, self-supervised and weak-supervised learning.
• Track record of publications at conferences related to computer vision, NLP and/or machine learning.

• A problem-solver with a strong analytical mindset.
• Exceptional communication skills and meticulous attention to detail.
• A team player with excellent communication and collaboration skills.
• Passionate about process innovation and driven by curiosity to understand and optimize business processes.

COMPENSATION, WELFARE & BENEFIT
Our history, as well as the future, is based on the value of our people. The biggest investment at Prometeia is in our people, and it concerns every aspect of professional life. We call it 'Total Compensation' and is made up of Compensation - consisting of a fixed and a variable component -, an important Welfare Plan, active since 2015 – we have been among the first to introduce it in Italy - and Benefits, which include all the initiatives undertaken for the well-being of our people.

REMOTE WORKING
Flexibility is an intrinsic value of the way we work. At Prometeia, smart working is an organizational method based on trust, which results in benefits in terms of work/life balance, impact on the environment and optimization of company results, through autonomy and empowerment of people.

PEOPLE PROGRAM
Our evaluation system is based on the full enhancement of people and their continuous dialogue as a stimulus for regular, mutual professional and personal growth. Transparent discussions between managers and team members are set up within the projects, where reciprocal and timely feedback is exchanged. The process is fully digitalized and aimed at continuously improving the development trajectory of the individual and the company.

TRAINING
Prometeia means ongoing training. We provide an average of 11 days of training per year to our people, in person and online. Particular attention is paid to younger colleagues, who are the protagonists of dedicated growth programs, and to the continuous sharing and internal transfer of know-how and skills. On-the-job training is also important, through immediate and direct confrontation with the market.

WIN/WIN POLICY
If you are one of our employees, and you recommend a person who is later recruited, you are entitled to a financial bonus! This is an important opportunity to contribute to the growth of Prometeia as a whole, by attracting acknowledged market professionals and new tech talents.

PHYGITAL MANAGEMENT
Through the dedicated app Pr(Home)teia, we have completely digitalized and integrated the management of our physical and virtual environments. Access to the office, smart working, workstations, meeting rooms, car pooling. everything is just a click away.

COMMUNITY
Our Community is extremely diverse, as are the skills of the people who are part of it and who share its values, and the individuals and organizations that are directly or indirectly involved in our activities. Clients, People of the Group, Alumni, Institutions, Academia, non-profit entities with which we actively collaborate, are stakeholders representing a great value for us, in terms of trust and collaboration.

DIVERSITY
We promote and respect equal opportunities and consider differences as a value. Diversity & Inclusion are fundamental values: from the selection phase to everyday life, also through dedicated training moments to develop individual sensitivities and unicities.

IMPACT
We responsibly take an active role towards the environment, the territories and the communities in which we operate. Our Headquarter in Bologna has obtained the Leed Gold Certification, one of the highest awards that recognizes the performance of the building in terms of energy and water savings, reduction of CO2 emissions, improvement of the ecological quality of the interior, materials and resources used. In the Sustainability Report we report the results achieved within the 17 Sustainable Development Goals (SDGs) of the 2030 Agenda that, drafted by the United Nations in 2016, we have been supporting since 2020.

WEALTH MANAGEMENT
& FINANCIAL DISTRIBUTION

Are you curious and ready to accept a new challenge in your career? Are you eager to join a dynamic company and bring innovation through your work and skills?
Prometeia offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world.

Prometeia is looking for talented and motivated professionals with a passion for data science and a drive for innovation to join our Data Science team as Senior Deep Learning Engineer , contributing to transformative projects in the banking and insurance sectors.

The Prometeia Data Science team supports the digital transformation of banks and insurance companies using the most advanced data science techniques. Our Deep Learning team develops and delivers new cutting-edge products constituting the foundation for the present and future of these industries. From object detection and image segmentation to foundation models and generative AI, we are committed to transforming initial concepts and emerging technologies into fully developed products. We focus on continuous iteration, prototyping and solution refinement to create valuable and highly innovative services and products. Leveraging advanced Computer Vision techniques – such as segmentation, object detection, and foundation models – along with generative AI methods for time series analysis and synthetic data generation, we deliver cutting-edge solutions that meet real-world needs.

As a Senior Deep Learning Engineer, you will:

• Design and develop innovative algorithms for real time object detection (both 2D and 3D), instance/semantic segmentation, depth estimation, scene reconstruction and understanding.
• Design and develop innovative algorithms to generate synthetic time-series data, classification, clustering and anomaly detection.
• Read, understand and transform the most recent published literature into code.
• Analyze model results and highlight the next actions to be taken to improve them.

REQUIRED SKILLS

• MSc or PhD degree in Computer Science, Computer Vision, NLP, Machine Learning, or related fields.
• 2+ years of experience developing and designing Deep Learning algorithms.
• Strong proficiency in programming languages, especially Python and C++, and hands-on experience with libraries such as OpenCV, PyTorch and Pytorch-Lightning.
• Good knowledge of English.
• Experience in Deep Learning models training and ML dataset management.
• Experience with git and Azure Machine Learning or equivalent (GCP Vertex AI, Amazon SageMaker, …).

• PhD degree in Computer Science, Computer Vision, NLP, Machine Learning, Robotics or related field.
• Background in machine learning with experience in large-scale DL models training and evaluation.
• Experience in semi-supervised, self-supervised and weak-supervised learning.
• Track record of publications at conferences related to computer vision, NLP and/or machine learning.

• A problem-solver with a strong analytical mindset.
• Exceptional communication skills and meticulous attention to detail.
• A team player with excellent communication and collaboration skills.
• Passionate about process innovation and driven by curiosity to understand and optimize business processes.

COMPENSATION, WELFARE & BENEFIT
Our history, as well as the future, is based on the value of our people. The biggest investment at Prometeia is in our people, and it concerns every aspect of professional life. We call it 'Total Compensation' and is made up of Compensation - consisting of a fixed and a variable component -, an important Welfare Plan, active since 2015 – we have been among the first to introduce it in Italy - and Benefits, which include all the initiatives undertaken for the well-being of our people.

REMOTE WORKING
Flexibility is an intrinsic value of the way we work. At Prometeia, smart working is an organizational method based on trust, which results in benefits in terms of work/life balance, impact on the environment and optimization of company results, through autonomy and empowerment of people.

TRAINING
Prometeia means ongoing training. We provide an average of 11 days of training per year to our people, in person and online. Particular attention is paid to younger colleagues, who are the protagonists of dedicated growth programs, and to the continuous sharing and internal transfer of know-how and skills. On-the-job training is also important, through immediate and direct confrontation with the market.

Join to apply for the Senior Deep Learning Engineer role at Fineco Bank

1 week ago Be among the first 25 applicants

Fineco Bank is a leading European bank with a 20-year history and a fully digital DNA with a branchless approach since the start. Fineco offers a wide range of products including trading, investment, and payment services through a proprietary platform covering trading listed and OTC products, mutual funds, ETFs, and banking solutions for domestic and international clients.

We are seeking a highly qualified Senior Deep Learning Engineer to join our AI team. The ideal candidate will have strong experience in neural networks, transformers, and large language models (LLMs). Responsibilities include developing innovative projects focused on pre-trained models and end-to-end training of neural networks with Encoder or Decoder architectures.

1. Design, develop, and implement advanced deep learning models.
2. Conduct end-to-end training of neural networks using Encoder or Decoder architectures.
3. Optimize model performance and efficiency.
4. Collaborate with other teams to integrate AI solutions into company products.
5. Stay updated on the latest technologies and trends in deep learning.

1. Degree in Computer Science, Engineering, or related field.
2. Proven experience in developing and training deep learning models.
3. Deep knowledge of neural networks, transformers, and LLMs.
4. Experience with Encoder and Decoder architectures.
5. Documented experience in a corporate environment, preferably banking.
6. Ability to analyze, implement, and present results to business stakeholders.
7. Experience with computer vision or multimodal models.
8. Ability to work independently and in teams.
9. Excellent problem-solving and analytical skills.
10. Proficiency in Python and deep learning frameworks like PyTorch.

• Opportunity to work on innovative and cutting-edge projects.
• Dynamic and collaborative work environment.
• Professional growth and continuous training opportunities.
• Competitive salary package and corporate benefits.

Milano (alternating presence in the office and smart working)

Fineco Group is proud to be an Equal Opportunity Employer, committed to creating a safe and inclusive work environment based on mutual respect and diversity, offering equal employment opportunities. Fineco: The Place To Be.

Are you curious and ready to accept a new challenge in your career? Are you eager to join a dynamic company and bring innovation through your work and skills?
Prometeia offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world.

Prometeia is looking for talented and motivated professionals with a passion for data science and a drive for innovation to join our Data Science team as Senior Deep Learning Engineer , contributing to transformative projects in the banking and insurance sectors.

The Prometeia Data Science team supports the digital transformation of banks and insurance companies using the most advanced data science techniques. Our Deep Learning team develops and delivers new cutting-edge products constituting the foundation for the present and future of these industries. From object detection and image segmentation to foundation models and generative AI, we are committed to transforming initial concepts and emerging technologies into fully developed products. We focus on continuous iteration, prototyping and solution refinement to create valuable and highly innovative services and products. Leveraging advanced Computer Vision techniques – such as segmentation, object detection, and foundation models – along with generative AI methods for time series analysis and synthetic data generation, we deliver cutting-edge solutions that meet real-world needs.

As a Senior Deep Learning Engineer, you will:

• Design and develop innovative algorithms for real time object detection (both 2D and 3D), instance/semantic segmentation, depth estimation, scene reconstruction and understanding.
• Design and develop innovative algorithms to generate synthetic time-series data, classification, clustering and anomaly detection.
• Read, understand and transform the most recent published literature into code.
• Analyze model results and highlight the next actions to be taken to improve them.

REQUIRED SKILLS

• MSc or PhD degree in Computer Science, Computer Vision, NLP, Machine Learning, or related fields.
• 2+ years of experience developing and designing Deep Learning algorithms.
• Strong proficiency in programming languages, especially Python and C++, and hands-on experience with libraries such as OpenCV, PyTorch and Pytorch-Lightning.
• Good knowledge of English.
• Experience in Deep Learning models training and ML dataset management.
• Experience with git and Azure Machine Learning or equivalent (GCP Vertex AI, Amazon SageMaker, …).

• PhD degree in Computer Science, Computer Vision, NLP, Machine Learning, Robotics or related field.
• Background in machine learning with experience in large-scale DL models training and evaluation.
• Experience in semi-supervised, self-supervised and weak-supervised learning.
• Track record of publications at conferences related to computer vision, NLP and/or machine learning.

• A problem-solver with a strong analytical mindset.
• Exceptional communication skills and meticulous attention to detail.
• A team player with excellent communication and collaboration skills.
• Passionate about process innovation and driven by curiosity to understand and optimize business processes.

COMPENSATION, WELFARE & BENEFIT
Our history, as well as the future, is based on the value of our people. The biggest investment at Prometeia is in our people, and it concerns every aspect of professional life. We call it 'Total Compensation' and is made up of Compensation - consisting of a fixed and a variable component -, an important Welfare Plan, active since 2015 – we have been among the first to introduce it in Italy - and Benefits, which include all the initiatives undertaken for the well-being of our people.

REMOTE WORKING
Flexibility is an intrinsic value of the way we work. At Prometeia, smart working is an organizational method based on trust, which results in benefits in terms of work/life balance, impact on the environment and optimization of company results, through autonomy and empowerment of people.

TRAINING
Prometeia means ongoing training. We provide an average of 11 days of training per year to our people, in person and online. Particular attention is paid to younger colleagues, who are the protagonists of dedicated growth programs, and to the continuous sharing and internal transfer of know-how and skills. On-the-job training is also important, through immediate and direct confrontation with the market.

Are you curious and ready to accept a new challenge in your career? Are you eager to join a dynamic company and bring innovation through your work and skills?
Prometeia offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world.

Prometeia is looking for talented and motivated professionals with a passion for data science and a drive for innovation to join our Data Science team as Junior Deep Learning Engineer , contributing to transformative projects in the banking and insurance sectors.

The Prometeia Data Science team supports the digital transformation of banks and insurance companies using the most advanced data science techniques. Our Deep Learning team develops and delivers new cutting-edge products constituting the foundation for the present and future of these industries. From object detection and image segmentation to foundation models and generative AI, we are committed to transforming initial concepts and emerging technologies into fully developed products. We focus on continuous iteration, prototyping and solution refinement to create valuable and highly innovative services and products. Leveraging advanced Computer Vision techniques – such as segmentation, object detection, and foundation models – along with generative AI methods for time series analysis and synthetic data generation, we deliver cutting-edge solutions that meet real-world needs.

As a Junior Deep Learning Engineer, you will:

• Develop algorithms for real-time object detection (both 2D and 3D), instance/semantic segmentation, depth estimation, scene reconstruction and understanding.
• Develop algorithms to generate synthetic time series data, classification, clustering and anomaly detection.
• Analyze model results to create clear reports.

• BSc or MSc in Computer Science, Computer Vision, NLP, Machine Learning, or related fields.
• Good proficiency in programming languages, especially Python.
• Good knowledge of the English language.
• Experience in Deep Learning models training and ML dataset management.
• Experience with git and Azure Machine Learning or equivalent (GCP Vertex AI, Amazon SageMaker, …).

• PhD degree in Computer Vision, NLP, Machine Learning, Robotics, or related fields.
• Hands-on experience with libraries such PyTorch, Pytorch-Lightning and OpenCV.
• Experience in semi-supervised, self-supervised and weak-supervised learning.
• Track record of publications at conferences related to computer vision, NLP and/or machine learning.

• A problem-solver with a strong analytical mindset.
• Exceptional communication skills and meticulous attention to detail.
• A team player with excellent communication and collaboration skills.
• Passionate about process innovation and driven by curiosity to understand and optimize business processes.

Our history, as well as the future, is based on the value of our people. The biggest investment at Prometeia is in our people, and it concerns every aspect of professional life. We call it 'Total Compensation' and is made up of Compensation - consisting of a fixed and a variable component -, an important Welfare Plan, active since 2015 – we have been among the first to introduce it in Italy - and Benefits, which include all the initiatives undertaken for the well-being of our people.

Flexibility is an intrinsic value of the way we work. At Prometeia, smart working is an organizational method based on trust, which results in benefits in terms of work/life balance, impact on the environment and optimization of company results, through autonomy and empowerment of people.

Prometeia means ongoing training. We provide an average of 11 days of training per year to our people, in person and online. Particular attention is paid to younger colleagues, who are the protagonists of dedicated growth programs, and to the continuous sharing and internal transfer of know-how and skills. On-the-job training is also important, through immediate and direct confrontation with the market.

We promote and respect equal opportunities and consider differences as a value. Diversity & Inclusion are fundamental values: from the selection phase to everyday life, also through dedicated training moments to develop individual sensitivities and unicities.

We responsibly take an active role towards the environment, the territories and the communities in which we operate. Our Headquarter in Bologna has obtained the Leed Gold Certification, one of the highest awards that recognizes the performance of the building in terms of energy and water savings, reduction of CO2 emissions, improvement of the ecological quality of the interior, materials and resources used.

Are you curious and ready to accept a new challenge in your career? Are you eager to join a dynamic company and bring innovation through your work and skills?
Prometeia offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world.

Prometeia is looking for talented and motivated professionals with a passion for data science and a drive for innovation to join our Data Science team as Senior Deep Learning Engineer , contributing to transformative projects in the banking and insurance sectors.

The Prometeia Data Science team supports the digital transformation of banks and insurance companies using the most advanced data science techniques. Our Deep Learning team develops and delivers new cutting-edge products constituting the foundation for the present and future of these industries. From object detection and image segmentation to foundation models and generative AI, we are committed to transforming initial concepts and emerging technologies into fully developed products. We focus on continuous iteration, prototyping and solution refinement to create valuable and highly innovative services and products. Leveraging advanced Computer Vision techniques – such as segmentation, object detection, and foundation models – along with generative AI methods for time series analysis and synthetic data generation, we deliver cutting-edge solutions that meet real-world needs.

As a Senior Deep Learning Engineer, you will:

• Design and develop innovative algorithms for real time object detection (both 2D and 3D), instance/semantic segmentation, depth estimation, scene reconstruction and understanding.
• Design and develop innovative algorithms to generate synthetic time-series data, classification, clustering and anomaly detection.
• Read, understand and transform the most recent published literature into code.
• Analyze model results and highlight the next actions to be taken to improve them.

REQUIRED SKILLS

• MSc or PhD degree in Computer Science, Computer Vision, NLP, Machine Learning, or related fields.
• 2+ years of experience developing and designing Deep Learning algorithms.
• Strong proficiency in programming languages, especially Python and C++, and hands-on experience with libraries such as OpenCV, PyTorch and Pytorch-Lightning.
• Good knowledge of English.
• Experience in Deep Learning models training and ML dataset management.
• Experience with git and Azure Machine Learning or equivalent (GCP Vertex AI, Amazon SageMaker, …).

• PhD degree in Computer Science, Computer Vision, NLP, Machine Learning, Robotics or related field.
• Background in machine learning with experience in large-scale DL models training and evaluation.
• Experience in semi-supervised, self-supervised and weak-supervised learning.
• Track record of publications at conferences related to computer vision, NLP and/or machine learning.

• A problem-solver with a strong analytical mindset.
• Exceptional communication skills and meticulous attention to detail.
• A team player with excellent communication and collaboration skills.
• Passionate about process innovation and driven by curiosity to understand and optimize business processes.

COMPENSATION, WELFARE & BENEFIT
Our history, as well as the future, is based on the value of our people. The biggest investment at Prometeia is in our people, and it concerns every aspect of professional life. We call it 'Total Compensation' and is made up of Compensation - consisting of a fixed and a variable component -, an important Welfare Plan, active since 2015 – we have been among the first to introduce it in Italy - and Benefits, which include all the initiatives undertaken for the well-being of our people.

REMOTE WORKING
Flexibility is an intrinsic value of the way we work. At Prometeia, smart working is an organizational method based on trust, which results in benefits in terms of work/life balance, impact on the environment and optimization of company results, through autonomy and empowerment of people.

TRAINING
Prometeia means ongoing training. We provide an average of 11 days of training per year to our people, in person and online. Particular attention is paid to younger colleagues, who are the protagonists of dedicated growth programs, and to the continuous sharing and internal transfer of know-how and skills. On-the-job training is also important, through immediate and direct confrontation with the market.