Senior Generative AI Engineer
3 semanas atrás
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Step into a dynamic ecosystem where the future of business is created and lived every day. Be part of it
At LUZA Group, passion, perseverance, and the drive to excel define our path to success.
Founded in 2006, we are a Portuguese multinational with over 1,200 talented professionals and a turnover surpassing 30M. With a strong presence in key markets: Portugal, Spain, Morocco, Brazil, Mexico, the United States, and China, we deliver innovative solutions in engineering, IT, design, consulting, Industry 4.0, training, and recruitment. Our people and their talent power everything we do.
This is a moment of growth and opportunity. The future belongs to visionary minds. Will you join us?
Overview / Summary:We are looking for a Senior Generative AI Engineer. Within the COO scope, the goal of the AI Team is to identify, prioritize and deliver innovative AI solutions, supporting business lines.
You will guide the AI team in designing, building and delivering AI-powered applications, with particular focus on Generative AI. Such applications are designed to serve several teams and drive business value across different business areas. You will be part of the recently established global AI Team, with the possibility to shape it from the beginning with foundational knowledge and best practices. You will work closely with our AI Tech Lab Manager, as well as with experienced software and AI developers, DevOps, Machine Learning Operations (MLOps) and data professionals.
Key Responsibilities:- Lead the development of multiple technical solutions focused on Generative AI, from PoC to deployment.
- Ensure high-quality standards for AI solutions by adopting the most suitable tools and frameworks, as well as implementing best practices, such as robust testing, validation, and performance evaluation processes.
- Guide and mentor junior developers, guiding them through the AI development lifecycle, ensuring good collaboration and high-quality deliverables.
- Engage with business stakeholders to define the technical direction of projects.
- Support the deployment of AI models in production environments, ensuring ongoing monitoring, optimization, and updates.
- Collaborate with software developers, MLOps, and DevOps to ensure seamless integration of AI modules into successful applications.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Strong and foundational knowledge of Machine Learning, Deep Learning, and Generative AI.
- At least 5 years of experience in full-stack machine learning in complex and long-term projects, from conception to deployment, with a focus on modular and scalable architectures.
- Experience in developing and deploying LLM-based solutions is highly valued.
- Proficiency in programming in Python and using frameworks like TensorFlow, PyTorch, and LangChain.
- Hands-on experience with cloud services, such as Azure or AWS.
- Experience with services such as API Gateway, Lambda, ECS, DynamoDB, OpenAI, BedRock, and related ones is highly valued.
- Experience in building and integrating RESTful APIs and microservices.
- Experience in establishing and promoting best practices in software engineering, such as code reviews, automated testing, version control (Git), and Agile methodologies.
- Excellent problem-solving, communication, and mentoring skills.
- Fluency in English, both written and spoken.
- A reliable team player, with a collaborative attitude.
#VisionaryFuture - Build the future, join our living ecosystem
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