Machine Learning Engineer

0 years

0 Lacs

Posted:8 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Company Description


Webappclouds takes mobile apps and web apps to the next level with our skilled and innovative team of software developers and designers. We specialize in creating sleek, user-friendly apps that connect businesses to millions of mobile users on iOS and Android. Beyond app development, we offer website design, digital design, e-commerce, and digital marketing. Our enthusiastic, creative, and highly motivated team works diligently to provide the highest level of customer satisfaction.


Role Description


This is a full-time on-site role for a Machine Learning Engineer located in Hyderabad. The Machine Learning Engineer will be responsible for developing, implementing, and enhancing machine learning models and algorithms. Daily tasks include working with neural networks, conducting pattern recognition, analyzing statistical data, and creating efficient algorithms. The role may also involve collaborating with other team members to meet project goals and improve overall system performance.


Qualifications


  • Knowledge in PyTorch, Bash, SSH, OpenCV, CNNs, Git, Text Edit in Terminal
  • Strong understanding of Pattern Recognition and Neural Networks
  • Proficiency in Computer Science concepts and Statistics
  • Experience with Algorithms, including their design and optimization
  • Excellent analytical and problem-solving skills
  • Ability to work collaboratively and on-site in Hyderabad
  • Prior experience in machine learning projects is a plus
  • Experience in PyTorch/Tensorflow with PyTorch being preferred.
  • Being able to utilise both natural language and images.
  • Utilise CNNs and Transformers and possess a thorough comprehension of the underlying architectures of these models' variations along with the capacity to work with and alter low-level model elements in addition to using already-existing models and APIs. 
  • A credible OpenCV understanding.
  • Familiarity with Linux and the cloud, particularly with AWS as it's the platform in use.  
  • A strong understanding of Python package management and Anaconda distributions is also required. 

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