LenDenClub - Team Lead - Artificial Intelligence Engineering (6-11 yrs)

Role Requirements-

- Hands-on experience in handling unstructured (image, video, audio) and build solutions using Deep Learning / Machine Learning

- Experience in implementing object detection, GANs. Knowledge of reinforcement learning is a plus.

- Good grasp and detailed knowledge of any one deep learning library (PyTorch, Tensorflow, Caffe, etc.) is a must

- Experience with Data Visualization tools like Tableau, Microsoft Power BI, and SiSense

- Exposure to working on AI/Data Science/Analytics platforms like Microsoft AI, Amazon AI, IBM WATSON, H20, Knime

- Strong business acumen to understand business objectives & dynamics and possess excellent written and verbal communication skills for coordinating across teams

- Experience in analyzing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale.

- Experience in machine learning, supervised and unsupervised: Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Neural Networks, Deep Learning Algorithms.

- Work on end-to-end data science lifecycle: from building proof-of-concept models to production-ready models & working with engineers to deploy them to production

- Execute and take ownership of deep learning projects end-to-end. Good exposure to various deep learning algorithms and frameworks

- Should be able to effortlessly switch between roles of an Individual Contributor, team member, and data science manager as demanded by each project

- Figure out gaps in existing products and add intelligence to improve it

- Designing the frameworks in data sciences (R, Python, Azure ML, Amazon ML, Google ML, Spark, etc) to be used for relevant projects

- Keep updated on the latest research in AI and deep learning and find ways in which it can be used to solve business problems

- Must be able to read research papers (eg: some novel architectures, training techniques, etc.) and be able to implement it fully to solve our specific problems