Analytics Data science and IOT Lead

Hexaware Technologies

5 - 9 years

15 - 20 Lacs

pune chennai bengaluru

Posted:1 month ago| Platform:

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Skills Required

python mathematics data mining artificial intelligence statistics sas big data analytics power bi analytics data machine learning sql gen deep learning java data modeling data science spark predictive modeling pattern recognition

Work Mode

Work from Office

Job Type

Full Time

Job Description

Objectives of this role

Develop custom python libraries and data structures for data processing
should be able to create data ingestion, curation and validation pipeline for AI model data fine tuning
Keep current with technical and industry developments

Responsibilities

Serve as lead developer to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products
Develop libraries in python, spark, or other equivalent programming languages
Should have hands on experience in data modeling, processing, and categorization of data
Execute analytical experiments to help solve problems
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
Analyze data for trends and patterns, and interpret data with clear objectives in mind
Implement analytical models in production by collaborating with software developers and machine-learning engineers

Required skills and qualifications

5 or more years of experience in Python, big data analytics or AI/Gen AI development projects
Proficiency with data mining, mathematics, and statistical analysis
Good knowledge of AI based python libraries and usage.
Should possess hands on experience in AI/Gen AI based development projects
Advanced experience in pattern recognition and predictive modeling
Experience with Excel, PowerPoint, Power BI /any reporting tools , SQL, and programming languages (ex: Java/Python, SAS)
Ability to work effectively in a dynamic, research-oriented group

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