Data Scientist

Responsibilities Analyze raw data: assessing quality, cleansing, and structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with the engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Working closely with Product Owners and CTO Designing and testing NLP, computer vision algorithms, and predictive models Building scalable architecture to support multiple platforms at the same time Brainstorming new product ideas and bringing them to life Working with the design team to make the most appealing products Work with the sales team to understand customer's pain points and to develop strategies for client engagement Qualifications Proven experience in building production-ready applications with Python, Pytorch/TensorFlow, Flask Hands-on experience with Tableau Machine learning models and their version controlling, MLOps Experience with Mongo, MYSQL is must Must have experience with CICD stacks such as CloudBuild, Jenkins, CircleCI Experience with building State of Art Models Inference based applications JIRA, Confluence, Git, Docker, Swagger Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) Nice to have experience working with real-time video streaming applications Nice to have experience working with Snowflake

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