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Deep Learning Engineer
You may have seen many Deep learning engineer job opportunities in Bangalore. Even if you continue to look for a deep learning consultant role that excites you, your search ends here. The Pattem Digital will bring you one step closer to your deep learning engineer job. Curious to know the specifics of what your job will look like? Go ahead and read our service page.
Research and develop leading-edge neural network models that redefine the boundaries of deep learning. Being either a senior deep learning developer or a deep learning developer, leverage the latest computer vision, deep learning, and speech recognition tools to excel in this fast-changing field. When it comes to working at Pattem Digital, that makes its deep learning engineer job in Bangalore unique from every other job.
Comprehend 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.
Identify new technologies that can be applied to product development.
Develop experiments, evaluations, and improvements as a deep learning developer.
Good Python programming skills, best practices in software development, debugging, and profiling
Hands-on work experience with popular deep learning frameworks, e.g., PyTorch or TensorFlow.
Good proficiency in the basics of data structures, algorithms, and learning theory fundamentals.
Having familiarity with tensor processing libraries, which include both NumPy and PyTorch.
Experience in application domains, including but not limited to, the theory of machine learning, model compression, neural architecture search, computer vision, audio/speech, NLP, or deep generative models.
Practical experience with data science tools—including Jupyter, Pandas, bash scripting, and working in a Linux environment.
Skills:
More than 3+ years of experience in neural network optimization falls directly into the product given.
General overview of the concept of pattern from the perspective of architecture used by neural networks for computer vision, NLP, or speech recognition.
Deep understanding of computer architecture, compilers, and neural network performance.
Algorithms, linear algebra, machine learning, computer systems, and optimization of neural networks and optimization of linear algebra in deep learning.
Develop deep learning algorithms for real-world advertising products and create rapid prototypes and proof-of-concepts.
Perks and Benefits:
Flexible working hours.
Availability for Work From Home.
Casual clothing policies.
Access to fitness classes and wellness programs.
5 working days in a week.
Location: Bangalore, India’s Software City
NOTE: Depending on the project, your mode of work and location may change.