Senior Machine Learning Engineer

Must Haves:

• Experience or coursework in applying machine learning or deep learning models to solve problems.Basic understanding of computer vision concepts, Generative AI (LLMs); exposure to projects involving computer vision is a plus.
• Basic understanding of computer vision concepts, Generative AI (LLMs); exposure to projects involving computer vision is a plus.
• Familiarity with Python is essential, and exposure to libraries like Tensorflow and PyTorch is advantageous. Interest in learning about API development as it relates to deploying machine learning models. Enthusiasm for staying updated with the latest research in machine learning and AI

Good to Have:

• Exposure to languages like Ruby, Go, or Elixir, or a willingness to learn them.
• Familiarity with ML Ops practices such as Docker and Kubernetes.
• Experience with other platforms, frameworks, or tools used in machine learning projects.

Here's what your Day will look like:

Be working on all aspects of a production machine learning system. You will be acquiring data, training

and building models, deploying models, building API services for exposing these models, maintaining

them in production, and more. Work on performance tuning of models

From time to time work on support and debugging ofthese production systems

Work on researching the latest technology in the areas of our interest and applying it to build newer

products and enhancement of the existing platform.

Building workflows fort raining and production systems

Contribute to documentation