Senior Machine Learning Engineer

Here s what your day would look like -

1. Be working on all aspects of a production machine learning system.You will be acquiring data, training and building models, deploying models, buildingAPI services for exposing these models, maintaining them in production, and more. Work on performance tuning of models

2. From time to time work on support and debugging of these production systems

3. Work on researching the latest technology in the areas of our interest and applying itto build newer products and enhancement ofthe existing platform.

4. Building workflows for training and production systems

5. Contribute to documentation

Experience -

• Are passionate about machine learning and eager to kickstart your career in this field.

• Our ideal candidate is someone looking to apply their academic knowledge in a practical,real-world setting.

• 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 Al.

• Exposure to languages like Ruby, Go, or Elixir, or a willingness to learn them.

• Familiarity with ML Ops practices such as Docker andKubernetes.

• Experience with other platforms,frameworks, ortools used in machine learning projects.