Experience: 7 to 11 years

Must Have

Experience in computer vision
Experience in Python.
Experience in TensorFlow or PyTorch
Knowledge of text detection & OCR, human / face detection, generative models, video analytics, model compression / optimization. *
Experience in SAAS Domain

Roles & Responsibilities

Role

The role is of a Senior AI Engineer and responsible for developing scalable solutions using AI tools.
To understand business requirements, convert them into analytical questions effectively and provide meaningful recommendations.
Perform research, data analysis and testing to develop machine learning algorithms and predictive models.
Build the Data Pipeline Management (DPM) for respective Use-Cases.
One needs to test, tune, integrate, package and monitor solutions throughout the ML Cycle.
Work on daily tasks to complete them effectively to meet the project goals and timelines.
Resolve post production issues based on the activities related to monitoring the model decay, data drift and apply Retraining approaches to ensure respective KPI’s are constantly met.

Responsibilities

Deliver robust, well-tested, and fully documented modules to serve the use cases
Implement state-of-the-art deep learning algorithms to support people and product association
Collaborate within the AI team and interlocked team.
Continuously improve the efficiency and robustness of existing modules
Work with engineering team to implement the entire application modules as discoverable microservices, experience hosting and deploying ML solutions
Perform code reviews and ensuring proper design and delivery
Promote best practices and establish team processes
Identify infrastructure and architectural investment needs.

Skills: computer vision,python,data,algorithms,ml,learning

Senior AI/ML Engineer