Well-versed with ML algorithms (Supervised, Unsupervised, Deep Learning)
Practical knowledge on any structured database like MS SQL, Oracle, etc
Experience on Gen Ai and other Ai tools
Should have working experience of Python programming language and Fast API and backend design
Proficient with Docker, Docker Compose and version control system like github or gitlab, etc
Preferred:
Hold bachelor's degree in Information and Technology, Computer Science, Maths and Statistics, BCA
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
Roles & Responsibility
Work with stakeholders to identify opportunities for leveraging data to drive business solutions.
Mine and analyze data from databases to drive optimization
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
