MACHINE LEARNING ENGINEER
Be a part of the values-driven community that empowers you to grow and celebrates your whole self.
- Understanding of data structures, data modelling and software architecture.
- Deep knowledge of math, probability, statistics, algorithms and vectorization techniques.
- Familiarity with machine learning frameworks (like FastAPI and Django) and libraries (like scikit-learn and Pandas).
- Outstanding analytical and problem-solving skills.
- Would be an added advantage if you have:
- ML service deployment experience on Docker.
- Azure functions, App service
- Single Sign on Functionality
- Ability to write robust code in Python
- Research and implement appropriate ML algorithms and tools
- Design machine learning systems
- Develop machine learning applications according to requirements
- Run machine learning tests, experiments and dataset analysis
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Keep abreast of developments in the field
An applicant must be a strong fit with Triveni’s core values:
- Honesty, integrity, and fairness
- Respect for individual ability, creativity, and diversity
- Teamwork and open communication
- Passion and commitment
- Enjoyment of work and life