Career

Senior Associate - FullStack Developer

• 4-6 years of experience in design, development, and engineering of a customer application built on a technology stack including Java/Node/Python/React, any other JavaScript-based frameworks for web development
• Responsible for the design, development, and engineering of REST and SOAP web services

Associate Principal - Data Science

• Experience of working on and managing analytics projects and initiatives, preferably around 10+ years. Client facing roles, if any would be preferable
• Strong technical expertise (Regression, Machine Learning, Classification, Time series etc.) and knowledge of various analytics tools (R/SAS/Python/SPSS etc.)

MLOPs Engineer

• Combine statistics, NLP, and machine learning techniques to create scalable solutions for business problems.
• Extensive ML and Deep Learning (NLP focus) experience
• Hands-on experience with text pre-processing, named entity recognition and entity linking, topic modelling, document classification, and summarization.

Data Engineer

• As a data engineer, they should build and maintain scalable, rock solid self-serve data pipelines for data analysts and data Scientists and support them by understanding the content and context of data and collaborating with them to figure out the best way to Extract, Transform, Load, and access it.
• Previous experience in project management, allocating work, monitoring progress

Senior Data Scientist

• 6+ Years of Data Science relevant experience
• Prior Experience in developing ML models - Excellent understanding of AI/ML models and statistics, Should have Experience in performing EDA, Features selection/Feature Reduction and building models and gauge its performance
• Experience in Regression and Classification is must

Lead Data Engineer (AWS)

• 7+ years of Experience in working with Cloud Data Platforms, especially AWS and its services, must be strongly experienced in building data pipelines.
• Experience with big data tools like Python, Pyspark, and Spark SQL.
• Focus on scalability, performance, service robustness, and cost trade-offs.
• A continuous drive to explore, improve, enhance, automate, and optimize systems and tools to best meet evolving business and market needs.

Lead Data Engineer (Azure Data Bricks)

• Experience with Azure Data Bricks, Data Factory
• Experience with Azure Data components such as Azure SQL Database, Azure SQL Warehouse, SYNAPSE Analytics
• Experience in Python/Pyspark/Scala/Hive Programming.
• Experience with Azure Databricks/ADB