AI ML Company Vision....
AI ML Company Vision Lead
Posted on :
06-02-2024
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
06-02-2024
Job Description
Req ID : 2510172
Role:
The role is to lead the AI team by designing and developing scalable solutions using AI tools.
To turn business requirements into analytical questions effectively and provide meaningful recommendations.
Perform research and testing to develop machine learning algorithms and predictive models.
Solution the Data Pipeline Management (DPM) for respective UseCases.
As a Lead AI Engineer one needs to test tune integrate package and monitor solutions throughout the ML Cycle.
Guide the AI/ML Engineers on their daily tasks and help them solve any challenges they encounter technically.
Come up with post production activities to monitor the model decay data drift and apply Retraining approaches to ensure respective KPI s are constantly met.
Track daily progress from a solution standpoint. Identify risks and mitigate them.
Responsibilities:
Deliver robust welltested and fully documented modules to serve the use cases
Learn and implement stateoftheart deep learning algorithms to support people and product association
Collaborate with system architects designers and engineers to support the development of robust machine learning systems
Continuously improve the efficiency and robustness of existing modules
Work with Product Management to prioritize feature development
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 establishing team processes
Identify infrastructure and architectural investment needs
Qualifications:
Overall 10 years of industry work experience in computer vision object detection pattern recognition artificial intelligence automation and/or vision processing.
5 years of relevant experience as a CV Engineer Data Scientist Machine Learning Engineer or related role.
Experience with common languages (e.g. Python SQL) and tools (e.g. TensorFlow PyTorch distributed training / inference with Spark) in the ML toolkit.
Knowledge of CUDA OpenCL OpenGL and OpenCV
Proficient in at least one of: PyTorch (Preferable) TensorFlow and Keras
Coding experience in programming Languages: Python (definite) Nodejs Javascript or Java
Experience with designing and developing popular highly scalable distributed ML models and opensource projects.
Knowledge of text detection & OCR human / face detection generative models video analytics model compression / optimization.
NLP techniques to process text image processing techniques and perform entity extraction
Very good understanding and knowledge of Statistical and ML Concepts:
Statistics
EDA (Univariate/ Bivariate/ Multivariate Analysis)
Hypothesis Testing
Regression/ Classification and Unsupervised Approaches
Algorithms (Generic and Bayseian)
Ensemble approaches
Evaluation techniques
Familiarity with various operating systems (e.g. Windows UNIX) and databases (e.g. MySQL)
Must have worked on MLOps Tools: MLFlow Kubeflow DVC etc.
Deploying code on one of the:
Cloud Platforms Azure AWS GCP.
Standalone Systems (Using Flask/ FastAPI/ Docker/ Kubernetes etc.)
Handling Code with respect to various languages PMML Pickle ONNX etc.
Good team player and excellent written and verbal technical communication skills
MS / PhD in engineering or quantitative discipline (e.g. Statistics Mathematics Computer Science etc.)
python,sql,tensorflow,pytorch,cuda,opencl,opengl,opencv,keras,nodejs,javascript,bayesian-statistics
Employment Type
Full Time
Company Industry
Key Skills
- Graphic Design
- Indesign
- Camera Projection
- Colour Correction
- Computer Graphics
- Proprietary Software
- Windows
- Coversion Process
- Art Direction
- Visual Effects Management
- Adobe Photoshop
- Proofread
- Layout
- AutoDesk Maya
- Matte Painting
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