Who we are looking for?

Qualifications and Experience:

• Bachelor's/Master’s degree in Mathematics, Statistics, Computer Science, Computer Engineering, or related field
• 5+ year(s) experience in data-driven techniques including exploratory data analysis and data pre-processing, machine learning to solve business problems.
• Proficiency in programming languages such as Python, PySpark, SQL, or Scala.

• Solid foundation of Statistical Modeling, Machine Learning algorithms and Experimental design.
• Excellent data visualization skills in PowerBI/Tableau to be able to present insights that drive business impact.
• Experience in Utilities, Energy, Chemical, Metals and Mining experience is preferred.
• In-depth knowledge and hands-on experience with Azure, AWS or Databricks tools. Relevant certifications in Azure Data Services or cloud data engineering are highly desirable.
• Implement MLOps practices to streamline the machine learning lifecycle, including model versioning, deployment, and monitoring.
• Strong analytical and problem-solving skills, with the ability to analyze complex data requirements and propose innovative solutions.
• Experience of working with database/data warehouse/data modeling/ETL pipeline.
• Candidates should have a strong understanding of Gen AI, LLMs, Vector database and Lang chain frameworks.

Gurugram

Requesting an Accommodation

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