The Innovation Labs team is dedicated to exploring emerging technologies and identifying new opportunities. Our mission is to propose, develop, and transform innovative ideas into production-ready solutions that drive impact across the organization.
Responsibilities:
- As an Innovation and Applied-AI Engineer, you drive advancements in Biometrics, Cybersecurity, Digital technologies, and Generative AI.
- Proposing and prototyping new ideas through proofs of concept (POCs) and implementing end-to-end solutions that follow best practices to ensure seamless productization.
- We are looking for a talented engineer with a strong appetite for solving complex challenges. You should be proficient in software engineering—both front-end and back-end.
- Success in this role requires curiosity, open-mindedness, and a willingness to challenge the status quo. You should be able to quickly assess new technologies and decide whether to adopt, adapt, or discard them. Strong ideation skills are essential, including the ability to present, critique, and continuously improve ideas.
- You will be part of a multi-disciplinary team distributed across different geographies. Strong team spirit and collaboration skills are essential.
Requirements:
- Bachelor's Degree or higher in Computer Science or equivalent
- 3+ years’ experience, with at least 1 year doing Deep Learning.
- Proficiency in Python, with strong scripting and software development capabilities; hands on experience with PyTorch is mandatory.
- Ability to read academic papers and translate research into practical, innovative solutions.
- Experience in full-stack development and rapid prototyping using frameworks like Flask, FastAPI, or React.
- Hands-on experience with Generative AI frameworks (e.g., Hugging Face, LangChain, OpenAI APIs) and agentic AI systems.
- Familiarity with cloud platforms (AWS, Azure, GCP), CI/CD pipelines, and containerization tools.