Lead and Manage configuration, maintenance, and support of portfolio of AI models and related products.
Manage AI model releases.
Define, create, and track metrics for various models.
Take feedback from analysis, end users and domain experts to manage model calibration, bug fixes and enhancements.
Manage new client onboardings by developing configuration for model pipelines.
Manage a team of Junior Data Scientists and Data Engineers working on model support.
Manage model delivery to Production deployment team and coordinate model production deployments.
Manage effective collaboration within cross-functional teams.
Dive deep into data, doing analysis, and discovering patterns/root causes. Generate insights that drive the product.
Manage deliverables and projects assigned to vendor partners in AI models and products space.
Essential Skills
Expert level knowledge of Python programming language, data engineering and data science ecosystem in Python. Production level Python script coding experience is must have.
Some experience managing or leading technical teams is must have preferably in Analytics domain.
Some experience in developing and supporting Machine Learning and Deep Learning solutions.
Good Expertise in developing Natural Language Processing (NLP) solutions
Hands on experience on SQL ecosystem
Hands on experience on Solr framework with Python
Experience of working on Linux and shell scripting
Sound Knowledge of statistical modelling
Experience working in AWS and Azure cloud stack.
Experience with Java ecosystem and some UI frameworks like Angular is good to have.
Good communication and organizational skills with significant attention to detail
Experience partnering with cross-functional teams of domain experts, engineers, data scientists, and production support teams.
Strong attention to detail with excellent problem-solving skills.
Desire and ability to thrive in a distributed technical environment while working on multiple projects simultaneously.
Passionate about latest technology trends with a strong desire for innovation.
Self-motivated, self-managing and able to work independently.
Education And Experience
Bachelor's degree (B.E/ B Tech. computer science, engineering, statistics/mathematics or a related field) from a four-year college or university, or equivalent, Masters a plus.
Total at least 6.5 years experience with at least 4 years experience working on enterprise AI products.
Experience in supporting software products or applications in the AI ML domain.
