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Deep Learning Developer Jobs

You might have come across various deep learning developer jobs opportunities in Bangalore, but if you’re still in search of a deep learning consultant position that truly excites you, your search ends now. Joining the Pattem Digital team means stepping into Deep Learning Developer Job.

Curious to dive deeper into the specifics of your responsibilities? Check out our service page.

In this role, you’ll be responsible for researching, designing, implementing, optimizing, and deploying cutting-edge neural network models that push the boundaries of deep learning. Whether you’re a Senior Deep Learning Developer or a Deep Learning Developer, you’ll leverage the latest tools in Computer Vision, Deep Learning, and Speech Recognition to thrive in this rapidly evolving field. Pattem Digital offers a plethora of opportunities that set it apart from other deep learning developer positions in Bangalore.

If you need a clearer picture of the deep learning job description, take a look at our video, JD.  

Familiarize Yourself with Responsibilities:

  • Train machine learning and deep learning models for visual recognition tasks, including segmentation, detection, depth estimation, and end-to-end control.
  • Improve neural network performance with techniques like multitask learning, distributed training, Bayesian deep learning, uncertainty estimation, multi-sensor fusion, and architecture search.
  • Engage in virtual machine learning research across diverse technology areas, such as deep generative models, Bayesian deep learning, equivariant CNNs, and adversarial learning.
  • Explore cutting-edge technologies for product development.
  • Develop deep learning algorithms for real-world advertising products and create rapid prototypes and proof-of-concepts.
  • Conduct experiments, evaluations, and enhancements as a Deep Learning Developer.
  • Minimum of 3+ years of experience optimizing neural networks for specialized products.
  • Strong understanding of computer architecture, compilers, and neural network performance.
  • Proficiency in Python programming, software development best practices, debugging, and profiling.
  • Hands-on experience with mainstream deep learning frameworks like PyTorch or TensorFlow.
  • Proficiency in data structures, algorithms, and learning theory fundamentals.
  • Familiarity with tensor processing libraries, including NumPy and PyTorch.
  • Background in neural network architecture patterns for computer vision, NLP, or speech recognition.
  • Work experience in fields like machine learning theory, model compression, neural architecture search, computer vision, audio/speech, NLP, or deep generative models.
  • Proficiency in data science tools such as Jupyter, pandas, bash scripting, and the Linux environment.
  • Expert knowledge of algorithms, linear algebra, machine learning, computer systems, and neural network optimization, particularly linear algebra routines used in deep learning.

What achievements do you attain?

  • Access to new methods for learning and application.
  • Broadening your horizons to develop leadership skills and follow your preferred career trajectory.
  • Competitive salary in line with industry standards.
  • Embracing a new learning journey and taking responsibility for achieving set targets.
  • Personal growth within a real-time environment.

Inside the Position: Key Job Information:

No. of positions available- 2
Mode of work- Work from office
Location- Bengaluru
Notice period- Immediate

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