Cloud AI Software Developer
Há 3 dias
At Capgemini, we are embarking on a journey to drive innovation in cyber-physical systems and cybersecurity. Our collaborative laboratory brings together academia and industry partners to create world-class demonstrators and proofs of concepts.
We are seeking an exceptional Software Engineer with a focus on Cloud and AI to join our team.
As an AI/ML Software Engineer at Capgemini, you will work with a cross-functional team to support R&D projects related to perception activities, robotics, and advanced simulations.
Your responsibilities will include:
- Implementing and integrating cloud-based AI/ML solutions on platforms like Google Cloud Vertex AI, Microsoft Azure AI/Machine Learning, or AWS SageMaker;
- Designing, developing, and maintaining AI-driven software solutions using AI frameworks such as TensorFlow or PyTorch;
- Utilizing data ingestion, storage, and analysis tools to manage and analyze large datasets;
- Working with CI/CD systems to automate and streamline the development process;
- Performing data fusion from multiple sources to create comprehensive data models and insights;
- Collaborating with cross-functional teams to ensure seamless integration of software components;
- Applying Agile methodologies, particularly Scrum, to manage and deliver projects effectively;
- Continuously learning and adapting to new technologies and domains as required by projects;
- Coaching and mentoring junior team members, fostering a collaborative and supportive work environment;
- Communicating technical concepts effectively to non-technical stakeholders.
What You'll Get
As an AI/ML Software Engineer at Capgemini, you can expect to fill your days with challenging projects, opportunities for growth and development, and a collaborative and supportive work environment.
Requirements
To be successful in this role, you will need:
- 4-6 years of professional experience in software development;
- Experience with at least one major cloud provider's AI/ML platform (e.g., Google Cloud Vertex AI, Microsoft Azure AI/Machine Learning, or AWS SageMaker);
- Proficiency in AI frameworks such as TensorFlow or PyTorch;
- Nice to have: Experience with the Elastic Stack (Elasticsearch, Logstash, Kibana); Familiarity with CI/CD systems and best practices; Strong problem-solving skills with the ability to be independent preferably with coaching experience, collaborative environment; Experience in Agile methodologies in particular scrum.
Bonus
You will also receive health insurance for you and your family, flexible working environment, and extra days off.
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