Visionary Computer Vision and Machine Learning Engineer

Job Title:

Senior Computer Vision and Machine Learning Engineer

Description:

We are seeking an experienced professional to lead the development of innovative computer vision and machine learning solutions. As a key member of our team, you will be responsible for designing, implementing, and optimizing complex algorithms to solve real-world problems.

Responsibilities:

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• Algorithm Development:">
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  • Design and develop advanced computer vision and machine learning algorithms using state-of-the-art techniques and tools.">
  • Collaborate with cross-functional teams to integrate algorithms into existing systems.">
  • Evaluate and improve algorithm performance through testing and validation.">
  • Analyze and resolve complex technical issues related to algorithm development.">
  • Develop and maintain high-quality code in accordance with industry standards.">
  • Mentor junior engineers on best practices and new technologies.">
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• Technical Leadership:">
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  • Lead technical projects from conception to delivery, ensuring timely and within-budget completion.">
  • Provide technical guidance and oversight to ensure alignment with project goals and objectives.">
  • Maintain up-to-date knowledge of emerging trends and technologies in computer vision and machine learning.">
  • Develop and implement process improvements to increase efficiency and productivity.">
  • Collaborate with stakeholders to identify and prioritize project requirements.">
  • Communicate technical information effectively to both technical and non-technical audiences.">
  • Ensure adherence to company policies and procedures.">
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Requirements:

To succeed in this role, you will need:

Educational Background:

BE/MS/M.Tech (Electronics, Computer Science or related)

Experience:

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• 8 - 10 years of work experience in computer vision and machine learning.">
• Proven track record of developing and implementing innovative algorithms.">
• Strong expertise in deep learning frameworks such as TensorFlow and PyTorch.">
• Familiarity with image processing libraries such as OpenCV.">
• Experience working with cloud platforms (AWS, Azure, GCP).">
• Excellent programming skills in Python.">
• Exposure to Object Oriented Programming and Design, Data structures / Algorithms.">
• Expertise on OpenCV, DLib, Numpy.">
• Awareness of Machine learning concepts, hyperparameters tunning, metrics and training methods.">
• Hands-on experience with anyone of the deep learning frameworks - TensorFlow, Caffe, Pytorch, Keras, MXNet, Theano.">

Skills:

Required skills include:

Excellent programming and rapid prototyping skills in Python.

Exposure to Object Oriented Programming and Design, Data structures / Algorithms.

Expertise on OpenCV, DLib, Numpy.

Excellent knowledge on any/all of the given concepts in Computer Vision - namely Image Classification, Object Detection and Semantic Segmentation developed using state-of-the-art deep learning algorithms.

Hands-on experience in developing efficient and real-time convolution neural network models.

Awareness of Machine learning concepts, hyperparameters tunning, metrics and training methods.

Hands-on working experience with anyone of the deep learning frameworks - TensorFlow, Caffe, PyTorch, Keras, MXNet, Theano.

Experience on Foundation Models especially with EVA & DINO a big plus. Well conversed with MLOps concepts (Hands on experience with mlflow a big plus).

Exposure to model compression and pruning in deep learning.

Preferred skills include:

Familiarity with GPU computing (CUDA, OpenCL), HPC and, should have hands-on experience in local GPU-Linux servers or cloud machine learning service providers like AWS, Azure, etc.

Strong Problem Solving & Communication skills.

Highly Motivated, Creative and a Team player.

Responsible on taking the ownership of modules/projects as well as contributing/collaborating the team with individual contributions.

Experience/exposure to usage of Open-Source technologies, State of Art models and understanding of famous model backbones.

Knowledge on containerizing the CV applications as docker or pod and REST API services for DL inference modules.

Experience of CV solution deployment on Edge (NVIDIA, etc.) would be big plus.