AI Lead

Job Brief
We are seeking an AI Lead Engineer to join our Digital Engineering team, focusing exclusively on Innovation Initiatives. As part of our dynamic group, you will contribute to cutting-edge AI-driven platforms and future-trend projects. The ideal candidate possesses deep expertise in machine learning and AI, with a proven record of developing scalable solutions. This role demands a delivery-focused mindset, emphasizing quick, incremental outputs in an agile environment. Priority will be given to candidates who have demonstrated experience in building small applications using existing libraries and datasets, creating layers or wrappers to develop innovative solutions. We value the ability to integrate and unify existing technologies rather than developing from scratch, as this approach aligns with our fast-paced, innovation-driven environment.You'll balance innovative thinking with practical implementation, driving substantial business impact through rapid prototyping and deployment of AI solutions.ResponsibilitiesDevelop cutting-edge AI solutions for future trendsRapidly prototype and deliver impactful features (DemoBytes)Integrate existing libraries/datasets for novel applicationsDevelop select features from scratch when necessaryCollaborate cross-functionally on AI innovationsProactively improve systems based on AI trendsParticipate in agile development processesDeliver frequent, incremental outputsBalance innovation with practical implementationRequirements and SkillsMaster's in Computer Science, Engineering, AI, or a related field7+ years of experience in developing and deploying machine learning models and AI solutions.Handled team of minimum 5.Strong proficiency in Python; familiarity with Java and RExpertise in machine learning, deep learning, natural language processing (NLP), and computer visionHands-on experience with AI frameworks such as TensorFlow, PyTorch, or KerasSolid understanding of data structures, algorithms, and software design principlesKnowledge of RESTful APIs and microservices architectureFamiliarity with agile development methodologiesStrong problem-solving skills and ability to work effectively in a team environmentExcellent communication skills to explain complex AI concepts to both technical and non-technical stakeholdersPreferred QualificationsExperience with reinforcement learning and generative AI modelsKnowledge of MLOps practices and tools (e.g., MLflow, Kubeflow)Experience with database systems (SQL and NoSQL)Contributions to open-source AI projects or research publications in the field of AI.