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 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.
