Senior Associate - Machine Learning Ops

  • 0 yrs
  • Not Disclosed

Job Description


The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions.

Data is our bread and butter for innovation. We are looking for a Lead Machine Learning Engineer who has worked on building and deploying machine learning solutions at scale, the person should have experience in writing effective and scalable python code. We are looking for a self-starter who is willing to work in a very fast-paced environment and can define processes for us to scale to the next level.


⦁ Design and lead the development of various AI systems
⦁ Builds and implements ML/AI frameworks/tools for data scientists to easily train and test their codes, push codes to production, as well as build monitoring frameworks.
⦁ Collaborate with data scientists and data analysts to productionize and deploy their python codes and machine learning models across various customers
⦁ Execute best practices in version control, continuous integration/delivery, and building machine learning pipelines
⦁ Participate in the full SDLC process using agile methodology including discovery, inception, story and task creation, breakdown and estimation, iterative planning, development and unit testing, and release/deployment
⦁ Work with our data platform and applications team to help them successfully integrate the python codes and machine learning models in their product/workflows
⦁ Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them
⦁ Define technical architecture to productize Innovaccer’s machine-learning algorithms and take them to market with partnerships with different organizations


⦁ 8+ years of hands-on experience in Python and PySpark, with 5+ years of experience as a ML Engineer (healthcare experience will be a plus)
⦁ Strong knowledge of data modelling, software architecture and data structures
⦁ Experience in Deep Learning Frameworks like Keras, TensorFlow
⦁ Experience with ML platform such as Databricks, AWS Sagemaker will be a plus
⦁ Experience in developing and deploying production ready models
⦁ Experience in implementing CI/CD pipelines in ML solutions will be important
⦁ Strong written and spoken communication skills
⦁ Possess a customer-focused attitude through conversations and documentation
⦁ Coordinate management activities with others on the team


⦁ An ocean full of opportunities; learn, experiment and implement

⦁ We foster people who are willing to try new things every day and never be frightened to fail

⦁ Exceptional growth opportunities