AI & Data
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
AI & Data will work with our clients to:
- Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
- Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe action
Job Title: Data Scientist/Machine Learning Engg
Job Summary: We are seeking a Data Scientist with experience in leveraging data, machine learning, statistics and AI technologies to generate insights and inform decision-making. You will work on large-scale data ecosystems and collaborate with a team to implement data-driven solutions.
Key Responsibilities:
- Deliver large-scale DS/ML end to end projects across multiple industries and domains
- Liaison with on-site and client teams to understand various business problem statements, use cases and project requirements
- Work with a team of Data Engineers, ML/AI Engineers, DevOps, and other Data & AI professionals to deliver projects from inception to implementation
- Utilize maths/stats, AI, and cognitive techniques to analyze and process data, predict scenarios, and prescribe actions.
- Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members
Qualifications:
- 3-6 years of relevant hands-on experience in Data Science, Machine Learning, Statistical Modeling
- Bachelors or Masters degree in a quantitative field.
- Must have strong hands-on experience with programming languages like Python, PySpark and SQL, and frameworks such as Numpy, Pandas, Scikit-learn, etc.
- Expertise in Classification, Regression, Time series, Decision Trees, Optimization, etc.
- Hands on knowledge of Docker containerization, GIT, Tableau or PowerBI
- Model deployment on Cloud or On-prem will be an added advantage
- Familiar with Databricks, Snowflake, or Hyperscalers (AWS/Azure/GCP/NVIDIA)
- Should follow research papers, comprehend and innovate/present the best approaches/solutions related to DS/ML
- AI/Cloud certification from a premier institute is preferred.
AI & Data
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
AI & Data will work with our clients to:
- Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
- Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe action
Job Title: Data Scientist/Machine Learning Engg
Job Summary: We are seeking a Data Scientist with experience in leveraging data, machine learning, statistics and AI technologies to generate insights and inform decision-making. You will work on large-scale data ecosystems and collaborate with a team to implement data-driven solutions.
Key Responsibilities:
- Deliver large-scale DS/ML end to end projects across multiple industries and domains
- Liaison with on-site and client teams to understand various business problem statements, use cases and project requirements
- Work with a team of Data Engineers, ML/AI Engineers, DevOps, and other Data & AI professionals to deliver projects from inception to implementation
- Utilize maths/stats, AI, and cognitive techniques to analyze and process data, predict scenarios, and prescribe actions.
- Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members
Qualifications:
- 3-6 years of relevant hands-on experience in Data Science, Machine Learning, Statistical Modeling
- Bachelors or Masters degree in a quantitative field.
- Must have strong hands-on experience with programming languages like Python, PySpark and SQL, and frameworks such as Numpy, Pandas, Scikit-learn, etc.
- Expertise in Classification, Regression, Time series, Decision Trees, Optimization, etc.
- Hands on knowledge of Docker containerization, GIT, Tableau or PowerBI
- Model deployment on Cloud or On-prem will be an added advantage
- Familiar with Databricks, Snowflake, or Hyperscalers (AWS/Azure/GCP/NVIDIA)
- Should follow research papers, comprehend and innovate/present the best approaches/solutions related to DS/ML
- AI/Cloud certification from a premier institute is preferred.