Chief Machine Learning Architect

1 day ago


India beBeeMACHINE Full time ₹ 40,00,000 - ₹ 60,00,000
Job Opportunity

We are seeking a highly skilled and experienced professional to join our team as a Machine Learning Engineer. This is an exciting opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions.

The successful candidate will have a strong background in machine learning, experience working with deep learning frameworks such as TensorFlow and PyTorch, and a solid understanding of software engineering principles. They will also be able to work effectively in a collaborative environment and communicate complex technical ideas to both technical and non-technical stakeholders.

Key Responsibilities:

  1. Design, develop, and deploy machine learning models using deep learning frameworks such as MXNet, Caffe2, TensorFlow, Theano, CNTK, and Keras.
  2. Work with cross-functional teams to understand business needs and deliver high-quality solutions that meet customer expectations.
  3. Collaborate with data scientists and engineers to design and implement large-scale data processing pipelines using Apache Spark and AWS Glue.
  4. Develop and maintain high-quality, well-documented code that meets industry standards.

Requirements:

  • 7+ years of professional or military experience, including a Bachelor's degree.
  • Strong background in machine learning, including experience working with deep learning frameworks such as TensorFlow and PyTorch.
  • Excellent communication and collaboration skills.
  • Ability to work effectively in a fast-paced environment and adapt to changing priorities.

Benefits:

  • Opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.

About Us:

Our company values diversity, equity, and inclusion and is committed to creating a workplace culture that is welcoming and inclusive for all employees.



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