Data Scientist/AI Engineer/BI Developer

Job Type: Full Time

Experience: 1 Years to 2 Years

Type: Virtual Hiring

Last Date: 30-June-2025

Posted on: 18-June-2025

Education: BE/B.Tech,MCA,ME/M.Tech

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Data Scientist/ AI Engineer /2 Posts

Age: 25 to 35 years

Qualification Mandatory: Full Time B.E./B. Tech – First class (minimum of 60% marks) or equivalent or M.E./M. Tech/ MCA in Computer Science/ IT/ Data Science/ Machine Learning and AI. Professional / Preferred Qualification: Certification in Data Science/ AI/ ML/ Natural Language Processing/ Web Crawling and Neural Networks.

Experience Essential: 1. Minimum 03 years of (post basic educational qualification) experience in related field, out of which:

• 2+ years experience with programming languages frequently used in data science (R/ Python).
• 2+ years Experience in model development, model validation or related field.
• 2+ years experience in data analytics.
• 2+ years experience in Relational Database or any NoSQL database including Graph databases
• Experience in cloud-based application/ service development.
• Experience in natural language processing, Web Crawling and Neural Networks.
• Experience in projects with Machine learning/ Artificial Intelligence technologies.
• Excellent communication skills and ability to work as part of a multicultural product development team.
• End-to-end experience from data extraction to modelling and its validation.
• Experience of working in a project environment as a developer.
• Preference will be given to candidates with experience in financial sector/ banks/ NBFCs/ Insurance/ Investment firms.
  
  

Mandatory Skill Set: 1. Technical expertise regarding data models/ database design development, data mining and segmentation techniques.

• Expertise in Machine Learning technologies.
• Expertise in testing & validation of quality and accuracy of AI models.
• Expertise in developing models using structured, semi-structured and unstructured data.
• Expertise in Analytical Databases like Vertica DB or similar platforms.
• Data Modelling and Data Intelligence/ Data Cataloguing skills with tools like Alation.
• SQL (DDL/ DML/ DQL).
  
  

Desirable Qualities 1. Good understanding of Data Model and types of dimension modelling. 2. Experience in Conversational AI and dialogue systems. 3. Strong understanding of explainable and Responsible/ Ethical AI framework. 4. Understand Data protection techniques like encryption, data masking and tokenization to safeguard sensitive data in transit and at rest. 5. Experience in designing secure solutions architecture for Cloud platforms (private/ public/ Hybrid). 6. Experience with tools like Nifi, HBase, Spark, pig, storm, flume, etc. 7. Experience in BI tools. 8. Expertise in MS Excel data analytics. 9. Expertise in usage and deployment of LLMs

Key Responsibilities: 1. Be self-motivated, pro-active, and demonstrate an exceptional drive towards service delivery. 2. Identify valuable data sources and automate collection/ collation processes. 3. Undertake preprocessing of structured and unstructured data. 4. Analyze information to discover trends and patterns.

• Use AI/ ML techniques to improve the quality of data or product offerings. 6. Find patterns and trends in datasets to uncover insights. 7. Create algorithms and data models to forecast outcomes. 8. Combine models through ensemble modelling.
  
  

Data Scientist-cum-BI Developer /1 Post

Age 23 to 30 years

Qualification Mandatory: Full Time B.E./B. Tech – First class (minimum of 60% marks) or equivalent or M.E./M. Tech/ MCA in Computer Science/ IT/ Data Science/ Machine Learning and AI. Professional/ preferred qualification: Certification/ Assignments/ Projects in Data Science/ AI/ ML/ Natural Language Processing/ Web Crawling and Neural Networks.

Experience Essential: 1. Minimum 01 year of (post basic educational qualification) working experience on assignments/ projects/ jobs related to ML/ AI. 2. Experience in projects with Machine learning/ Artificial Intelligence technologies. 3. Excellent communication skills and ability to work as part of a multicultural product development team. 4. End-to-end experience from data extraction to modelling and its validation. 5. Experience of working in a project environment as a developer. 6. Preference will be given to candidates with experience in financial sector/ banks/ NBFCs/ Insurance/ Investment firms.

Mandatory Skill Set: 1. Technical expertise regarding data models/ database design development, data mining and segmentation techniques.

• Expertise in Machine Learning technologies.
• Expertise in testing & validation of quality and accuracy of AI models.
• Expertise in developing models using structured, semi-structured and unstructured data.
• Expertise in Analytical Databases like Vertica DB or similar platforms.
• Data Modelling and Data Intelligence/ Data Cataloguing skills with tools like Alation.
• SQL (DDL / DML/ DQL).
  
  

Desired Skill Set: 1. Good understanding of Data Model and types of dimension modelling. 2. Experience in Conversational AI and dialogue systems. 3. Strong understanding of explainable and Responsible/ Ethical AI framework. 4. Understand Data protection techniques like encryption, data masking and tokenization to safeguard sensitive data in transit and at rest. 5. Experience in designing secure solutions architecture for Cloud platforms (private/ public/ Hybrid). 6. Experience with tools like Nifi, HBase, Spark, pig, storm, flume, etc. 7. Experience in BI tools. 8. Expertise in MS Excel data analytics. 9. Expertise in usage and deployment of LLMs

Key Responsibilities 1. Be self-motivated, pro-active, and demonstrate an exceptional drive towards service delivery. 2. Identify valuable data sources and automate collection/ collation processes. 3. Undertake preprocessing of structured and unstructured data.

• Analyze information to discover trends and patterns. 5. Use AI/ ML techniques to improve the quality of data or product offerings. 6. Find patterns and trends in datasets to uncover insights. 7. Create algorithms and data models to forecast outcomes. 8. Combine models through ensemble modelling.
  
  

Candidates can apply only ON-LINE on 16th June 2025 to 30 June 2025.

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