Senior AI/ML Engineer
Location : Remote
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 UseCases.
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 welltested and fully documented modules to serve the use cases
Implement stateoftheart 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.
computer vision,python,data,algorithms,ml,learning