Job Description

Job Description

Develop end to end AI/ML solution for different verticals with API wrapping using Flask or FastAPI framework
Design and document different tech solutions and conduct design reviews
Design test criteria for the ML models Proficient in the feature engineering and basic data science methodology.
Lead the testing and support of machine learning assets.
Hand-on experience of working on GenAI projects
Communicate with the business with regards to the value of your work
Lead on the governance of machine learning assets from development to deployment and beyond.
Contribute to a positive and supportive team culture.
Overall 8 years of experience

Qualifications

Very good Knowledge of Python or Scala.
Good understanding of data base like PostGregSQL and NoSQL Good at applied statistics. Numerical methods etc.
Strong experience with different ML algorithm: linear regression, logistics regress, SVM, Random forest
Good experience with either NLP or computer vision or forecasting
Proven experience of getting machine learning assets into production, including UAT testing, and maintaining these assets once live.
Good problem solver
Experience supporting data science and advanced analytics teams to get their assets into production.
Passion for helping organization's and teams integrate machine learning and data science into common use throughout the business.
Proven ability to communicate technical work to a non-technical audience