+ Bachelors and above from Engineering/Computer Science/Data Science/Statistics/Mathematics
+ 1+ years of hands-on experience in Data Science with good understanding of Statistics and Machine Learning skills
+ 1+ years of hands-on programming experience with strong knowledge on algorithms, data structure and additional software engineering skills in an industry setting including internship experience
+ 1+ years of experience with development and deployment of ML products in production
+ 1+ years of hands-on experience with cloud platforms like Azure / AWS / GCP (or similar cloud)
+ 1+ years of hands-on experience with one or more of the Programming Languages - Python, R, Java, Scala, Julia, C++ Scripting Skills - SQL, Unix
+ Exposure or Knowledge on Dockers and Kubernetes
+ Experience using Flask and or additional frameworks to build REST API's
+ Has knowledge or good exposure to Software engineering skills, CICD, MLOPS
**Roles and Responsibilities**
+ Take part in Development and maintenance of machine learning and data science products
+ Work with Lead, immediate managers, and stakeholders to understand requirements and deliver efficient models, visualization, research outcomes, and products
+ Ability to communicate and collaborate effectively with peers, Leads, managers, and stakeholders on delivery, issues, and expectations
+ Writing efficient code, provide production support, use automated testing, use continuous build, and deploy tools
+ Build Visualizations for monitoring model performance and KPI's
+ Support documentation of work and products using tools like but not limited to confluence, power point, word, JIRA, Bitbucket, GitHub, etc.
+ Written and verbal technical communication skills with an ability to present complex technical information in a clear and concise manner to a variety of audiences
**Nice to Have**
+ Nice to have experience in agile process
+ Contribution to open source/publication in Journals
+ Experience with Dockers and Kubernetes
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