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- Fluent in English - Live or want to relocate to Belgium The tasks performed by external service provider will cover the whole development cycle of AI and data architectures and solutions from end-to-end, including: Design and Development: - Architect, design, and implement advanced machine learning models, including but not limited to deep learning, reinforcement learning, and large language models (LLMs). - Develop scalable AI solutions using state-of-the-art techniques and frameworks. - Collaborate with data scientists to refine data preprocessing, feature engineering, and model training pipelines. Deployment and Integration: - Deploy machine learning models and AI solutions into production environments, ensuring scalability, performance, and reliability. - Integrate AI models with existing systems and workflows, providing seamless functionality across platforms. - Optimize models for performance, including latency, throughput, and accuracy, considering both cloud and edge deployment scenarios. Research and Innovation - Stay up-to-date with the latest advancements in AI, ML, and LLM technologies, and apply them to enhance our AI capabilities. - Experiment with new algorithms, architectures, and techniques to push the boundaries of AI within the organization. - Contribute to research publications, patents, and open-source projects as appropriate. Collaboration and Communication: - Work closely with cross-functional teams to understand business requirements and translate them into technical solutions. - Communicate complex AI concepts and technical details to non-technical stakeholders effectively. - Mentor junior engineers and provide guidance on best practices in AI and ML development. Testing and Evaluation: - Conduct rigorous testing and validation of AI models, including A/B testing, cross-validation, and error analysis. - Monitor model performance in production and iterate on models to improve accuracy and robustness. - Implement monitoring systems to detect model drift and ensure continued performance over time. Experience: - Proven experience in designing, implementing, and deploying advanced machine learning models and AI systems. - Strong experience with large language models (LLMs) and natural language processing (NLP) techniques. - Experience with cloud platforms (AWS, Azure). Technical Skills: - Deep understanding of machine learning frameworks and libraries. - Experience with data processing and ETL tools. - Familiarity with MLOps practices and tools. What can you expect from us? Mind-blowing workplace culture. You will be integrated in a professional, dynamic and collaborative team. 100% Remote opportunities We want you to have the flexibility to work where you feel most comfortable and productive. International Career You can expect professional growth and to be connect with the world. We are represented in 2 European countries: Portugal and Belgium. And with projects in many other countries: Netherlands, Luxembourg, Singapore and in the United States of America (and a lot more is coming…) Extra Benefits & Perks If you wish to work with us and you are outside European Union (good news…) we are a Tech Visa Company, We will help! As a plus, we provide Health and Life Insurance. Bridge351 is proud to be an equal opportunity employer. We are committed to build a diverse and inclusive culture and celebrate authenticity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability or any other legally protected characteristics. Apply now: Mostrar contacto da oferta |
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