IDfy - Artificial Intelligence Lead - NLP/Machine Learning (7-11 yrs)

AI Lead (Drive)

- Join our team as a Lead AI Engineer, where you'll have a direct impact on the end-to-end lifecycle of our AI-driven solutions.

- This role emphasizes model research, building, and production deployment, but you will also engage in the full lifecycle of production AI to ensure continuous improvement and system performance.

- You will collaborate across the organization to solve complex multimodal problems.

Responsibilities :

- Work on cutting-edge solutions that help fight fraud across geographies and modes.

- Work across the full spectrum of our production AI platform, from data acquisition and model training / fine-tuning to deployment and performance tuning.

- Design and build robust APIs to expose AI capabilities, ensuring the reliability and scalability of models in production.

- Own performance tuning and optimization efforts to maintain our high-performance AI systems.

- Collaborate on R& D to evaluate and integrate cutting-edge technologies, continuously enhancing our platform with the latest advancements in AI and machine learning.

- Contribute to documentation and provide technical guidance to team members on best practices.

- You're a hands-on AI engineer or data scientist with 6+ years of experience driving impactful AI initiatives in production settings.

- You're passionate about solving complex problems, building systems that scale, and keeping abreast of the latest AI developments.

- Proven experience framing and solving complex problems with AI models, specifically in computer vision or NLP, and deploying these at scale.

- Hands-on experience with LLMs, with expertise in fine-tuning, retrieval-augmented generation (RAG), and model selection.

- You should have worked on at least two use cases in this domain.

- You should know what models/approaches to choose based on the use cases and their solutions.

- You understand that model building is only a fraction of production AI work and you know what it takes to maintain high-performance AI systems.

- 3+ years building and maintaining large-scale production AI systems, including optimization and tuning for deployment at scale.

- Expertise in Python and knowledge of its standard libraries.

- Strong skills in monitoring and debugging production AI systems for sustained reliability and efficiency.

- An insatiable curiosity and passion for state-of-the-art research, combined with the drive to apply innovative approaches to real-world problems.

- Experience mentoring and guiding junior engineers, sharing your expertise to uplift team knowledge.

- Some familiarity with AI Ops and associated tooling to streamline AI processes.

- Some cloud experience and AWS/Azure/GCP.

- Experience with other languages.

- Familiarity with Docker and Kubernetes for efficient service deployment.

- Experience with a variety of platforms, frameworks, and tools in the AI and machine learning ecosystem.

- Publications and patents in the AI domain.