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Build Visualizations to develop compelling stories & Insights from data
Clean and preprocess large volume of data
Analytics & Dashboards solutions for VE/CE COE
Develop ML/AI Models to analyze and mine large amount of Data.
Develop scripts to automate and deploy Production ready ML solutions.
Trouble shooting, Packaging and maintenance of ML solutions.
YOU MUST HAVE:
Bachelor’s / master’s degree in engineering, Applied Mathematics or related field
4 or more years of relevant experience in Data Science and analytics
Have worked on 4+ production grade data analytics applications
Strong expertise in scripting and querying languages, such as Python, R, SQL
Demonstrated experience in popular Python and R packages like SciKit, TensorFlow, Pytorch, Dash, Shiny etc
Experience in building AI agent frameworks like LangChain, LangGraph and LLM models like Gemini, GPT-4, Llama
Strong knowledge in 1-2 SQL databases and No-Sql databases
Working knowledge in data warehouse platforms (Snowflake)
Strong knowledge of data structures, algorithms, and software engineering principles.
Strong analytics skills: ability to assess data, drive insights, and make recommendations.
Experience in using data integration tools for ETL processes
Experience in CI/CD & Dev Ops & ML Ops Process
Experience with both Structured and Unstructured data
Experience in Deep Learning and classical Machine Learning
Nice to have
-Experience in Google Vertex AI and GCP services
-Experience working with Apache Spark, Azure, Hadoop, etc.
-Knowledge of Agile development methodology
-Working knowledge in visualization and reporting tools like Tableau, Power BI
-Exposure to Database schema design and ETL tools
Additional InformationThese jobs might be a good fit