Machine Learning Engineer

Who are we:

Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organization Conclusion, which has an ecosystem of over 25 companies and 3,600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems.

We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers.

With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates.

Neotalent, the responsive people.

Find out more about us at  .

Role Overview:

We are looking a  Machine Learning Engineer to integrate one of our biggest clients in the banking sector. The client in question is one of the biggest banks in europe, with activity in over 70 countries around the world, it also counts with over 150 years of existence which means that is an extremely consolidated player in the banking industry (Oporto - Hybrid).

You will integrate a Data & Digital Hub which integrates other activities linked to Data Management, Data Protection and Digital Innovation. It makes this department a real end to end center of expertise on data, innovation and technology.

What you will do:

• Collaborate with clients to best understand their operational and strategic needs in terms of complex AI/ML challenges;
• Investigate and solve business issues using technical, data-driven, AI/ML strategies;
• Build and/or adapt AI/ML models: Design and develop Machine Learning (ML) and Artificial Intelligence (AI) solutions, i.e., collect labeled data, setup and train models, test and evaluate results;
• Work closely with clients during application roll-out and all stages of the application lifecycle;
• Design the most adequate approaches to solve the identified problems within the company’s framework;
• Implement and assist the deployment and maintenance of models: Follow to best practices in the industry to implement and scale out the developed solutions into production grade software and Assist the operational teams with the deployment, monitoring and maintenance of the developed solutions.

What you are like:

• At least, 2 years of experience as a Data Scientist/Machine Learning Engineer or similar;
• Knowledge of Machine Learning models;
• Knowledge of NLP and/or computer vision techniques;
• Knowledge of deep learning architectures and frameworks (e.g. TensorFlow, Keras, …);
• Knowledge of at least one ML development stack (e.g. Scikit-learn, Keras, PyTorch…);
• Effective Programming skills (e.g. Python) and algorithmic knowledge;
• Fluency in written and spoken English;

Why join us

• Work on challenging projects for big clients
• Learn more about emerging technologies
• Possibility of working remotely
• Design your career plan
• Access to continuous training and certifications
• Evolve through our internal mobility program
• … and much more!

To apply:
Please send your CV to with PBR _ML in the email subject

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