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9 Emagine Infotech Software Jobs

Computer Vision Developer with Machine Learning

6-11 years

₹ 25 - 30L/yr

Chennai

1 vacancy

Computer Vision Developer with Machine Learning

Emagine Infotech Software

posted 24d ago

Job Description



About Us:
At Emagine Infotech, we are pioneers in providing innovative software solutions. Our team focuses on cutting-edge technologies, and we are currently seeking a talented Deep Learning Engineer to join our dynamic and forward-thinking team. If you are passionate about Artificial Intelligence, Deep Learning, and working with state-of-the-art technologies, we would love to have you on board!

Job Description:
As a Deep Learning Engineer at Emagine Infotech, you will be responsible for designing, developing, and deploying deep learning models, particularly for image processing and AI-related applications. You will leverage your expertise in Python, PyQt, machine learning frameworks, and deep learning libraries to create and optimize algorithms that can be integrated into various platforms, including IoT devices. You will also be involved in analyzing and working with complex data sets, collaborating with cross-functional teams to push the boundaries of what our solutions can achieve.


Key Responsibilities:


  • Design and implement deep learning models for a range of applications, including image processing, predictive modeling, and AI algorithms.
  • Develop solutions using Python, PyQt, TensorFlow, PyTorch, and Theano for machine learning tasks.
  • Optimize and fine-tune neural network models, including CNNs, RNNs, and reinforcement learning algorithms.
  • Work on hands-on image processing projects using libraries like OpenCV, SciPy, and NumPy.
  • Apply advanced statistical, probabilistic, linear algebra, and calculus concepts to develop robust deep learning models.
  • Implement and optimize machine learning pipelines for large datasets.
  • Collaborate with other engineers and data scientists to develop efficient solutions, integrating deep learning algorithms into production systems and IoT devices.
  • Utilize CUDA server and GPUs for algorithm training and optimization.
  • Perform time series analysis and apply deep learning methods to LIDAR data for analytics.

Required Skills:

  • Bachelors/masters degree in computer science, Engineering, or a closely relevant field.
  • Proven experience in the software domain, particularly in deep learning and AI projects.
  • Strong proficiency in Python and PyQt development.
  • Hands-on experience in deep learning, including CNNs, RNNs, and reinforcement learning.
  • Strong knowledge of machine learning libraries such as TensorFlow, PyTorch, and Theano.
  • Proficiency with Python libraries like Numpy, Scipy, and OpenCV for scientific computing and image processing.
  • In-depth knowledge of statistics, probability, linear algebra, and calculus, particularly as applied to machine learning.
  • Strong problem-solving skills with a proven track record of successful algorithm development and optimization.

Desirable Skills:

  • Experience in developing Graphical User Interfaces (GUIs) using PyQt.
  • Experience with utilizing CUDA servers and GPUs for algorithm training and acceleration.
  • Familiarity with embedding deep learning algorithms into IoT devices.
  • Experience with time series analysis, especially in the context of forecasting and prediction models.
  • Hands-on experience with analytics using LIDAR data for spatial data processing.

Why Emagine Infotech?

  • Work on challenging and exciting projects in AI, Deep Learning, and IoT.
  • Collaborate with a talented and diverse team of experts.
  • Competitive compensation package with opportunities for growth.
  • Work in a flexible, innovative, and supportive work environment.

How to Apply:
Interested candidates are encouraged to submit their resumes and cover letters to [rjoshi@emagine.org.in]. We look forward to discovering how you can contribute to Emagine Infotech’s continued success in the ever-evolving AI and deep learning landscape.



Employment Type: Full Time, Temporary/Contractual

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