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A leading company in the tech industry is seeking a Data or Software Engineer for an international insurance project. This remote role involves developing and implementing AI-focused software solutions, collaborating with teams, and optimizing algorithms. Candidates should have a Bachelor's degree in a relevant field and at least 6 years of experience, with a strong proficiency in Python and modern AI frameworks. Competitive benefits and a focus on professional growth are offered within a dynamic work environment.
we are looking for a Data or Software Engineer to join our team in an international insurance project.
Location : Remote from Spain.
You will : Develop and implement software solutions focused on artificial intelligence and machine learning. Collaborate with multidisciplinary teams to design efficient and scalable AI models. Optimize data processing algorithms and improve the performance of existing models. Research and apply new technologies in AI and data science. Ensure seamless integration of AI models into products and services.
You should have : Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field. Minimum of 6 years of experience Proficiency in
Python , TensorFlow, PyTorch, Keras, or similar frameworks. Desirable : Some experience with
Terraform
for deploying components in
Azure . Experience with : Event Management, APIs, and Azure resources, including Durable Functions, API Gateway, and EventGrid. Experience in data processing and training machine learning models. Strong teamwork and communication skills, fluent English.
What do we offer : Flexible remuneration and a personalized training plan. People-focused team. Dynamic work environment, with real possibilities for professional growth. International projects of high technological value.
At CORUS we are very conscious of the importance of respecting diversity. No one will be excluded from this call for applications on the grounds of race, colour, age, sex, marital status, ideology, political opinions, nationality, religion, sexual orientation and / or any other personal, physical or social condition. This process is aimed at choosing the best professionals through a selection process based exclusively on merit and skills.