Masters in Computer Science, Statistics, Applied Mathematics
Explore and validate the fitment of analytics solutions to address business problems
Excellent understanding of machine learning, NLP, and computer vision techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
9+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation, and storytelling
Strong programming skills (preferably in Python) to process large-scale data sets and developing machine learning models
Understanding of database concepts, data integration including design and architecture
Good stakeholder management skills. Practice design thinking approaches to drive business discussions
Be the change agent of AI transformation and foster data-driven culture
Good team worker with excellent communication skills written and verbal
Coach and mentor junior data scientists in the team
Participate in code review and technical review process
Engage in business conversations to suggest and build AIML solutions
Responsible for designing end to end AI/ML usecases
Hands-on development on Machine Learning code
Integrate ML model training, inferencing into Data pipelines.
Building and automating all steps of Machine Learning (ML) industrialization workflow
Requirements:
Hands on coding skills - Python
Experience on Forecasting, Machine Learning, Deep Learning and Transformers
Experience in Cloud and Databases
Always ready to learn more and adopt new cutting edge technology with right value proposition.