Responsibility

• Work on configuration, maintenance, and support of portfolio of AI models and related products.
• Work on AI model releases.
• Define, create, and track metrics for various models.
• Take feedback from analysis, end users and domain experts to perform model calibration, bug fixes and enhancements.
• Work on new client onboardings by developing configuration for model pipelines.
• Work on model delivery to Production deployment team and coordinate model production deployments.
• Effectively collaborate with 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 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.
• Strong Computer Science fundamentals are must. (Data structures, Algorithms, OS, Databases).
• 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

• Bachelors 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 3 years experience with at least 2 years experience working on enterprise AI products.
• Experience in supporting software products or applications in the AI ML domain.