Artificial Intelligence Lead

3 weeks ago


Hyderabad, Telangana, India Squareroot Consulting Pvt Ltd. Full time

Position : AI Lead - Computer Vision

Experience : 10 to 12 Years

Location : Hyderabad (All 5 days working from Office)

Education: Bachelors/Masters/PhD Degree in Computer Science

The ideal candidate for this role should possess :

- At least 10 Yrs experience in industry with 4+Yrs in computer vision object detection pattern recognition AI automation or vision processing

- 5+yrs of relevant exp in Data Scientist, AI/ML (Machine Learning) Engineer or related role

- Excellent in Python and knowledge of TensorFlow PyTorch and distributed training / inference with Spark

- Experience with CUDA OpenCL OpenGL OpenCV and at least one of PyTorch TensorFlow or Keras

- Proficiency in Python Nodejs Java script or Java and experience in designing and developing highly scalable distributed ML models and open source projects

- Knowledge of text detection & OCR human / face detection generative models video analytics and NLP techniques

Responsibilities :

- Designing and developing scalable AI solutions and turning business requirements into effective analytical questions

- Conducting research and testing to develop machine learning algorithms and predictive models

- Solutioning Data Pipeline Management for respective Use Cases

- Testing tuning integrating packaging and monitoring solutions throughout the ML Cycle

- Guiding the AI/ML Engineers on their daily tasks and technical challenges

- Implementing postproduction activities to monitor model decay data drift and apply retraining approaches

- Tracking daily progress from a solution standpoint and identifying and mitigating risks

- Delivering well tested and fully documented modules to serve the use cases

- Implementing state of the art deep learning algorithms and collaborating with system architects designers and engineers

- Improving the efficiency and robustness of existing modules and prioritizing feature development with Product Management

- Implementing application modules as discoverable microservices hosting and deploying ML solutions and performing code reviews

- Promoting best practices establishing team processes and identifying infrastructure and architecture investment needs

(ref:hirist.tech)

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