Ph.D. or Masters in a relevant quantitative, applied field (Statistics, Econometrics, Computer Science, Mathematics, Engineering)
Minimum of 5 years of work experience in the end-to-end lifecycle of ML model development and deployment into production within a cloud infrastructure (AWS, GCP, Azure, etc.)
Exhibit deep knowledge of core mathematical principles relating to data science and machine learning (Statistics, Probability, ML Theory + Best Practices, NLP, Feature Engineering, Supervised and Unsupervised ML, A/B Testing, etc.).
Proven experience developing, testing, and deploying various ML algorithms (neural networks, random forest, XGBoost, SVM, and the like)
Working knowledge of modern CI/CD methods
Proficiency in Python and SQL required.
Proven ability to work within a team to design and share scalable frameworks, deliver impactful solutions and ability to communicate successfully with others remotely
Beware of fraud agents! do not pay money to get a job
MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.