| (Local candidates only as F2F Interview is must)
Project Overview The client is seeking a Python Software Engineer (Analyst level) to support development of new and existing applications within its Technology team. The role focuses on building Python-based solutions performing data extraction and analysis and contributing to AI/ML initiatives including exposure to LLMs and Generative AI. The position requires collaboration with global teams and participation in modern development practices. Key Responsibilities - Design and implement robust Python-based applications
- Perform data extraction and analysis from structured and unstructured sources
- Collaborate with global technology teams across multiple time zones
- Follow object-oriented programming (OOP) standards and development best practices
- Contribute to solving complex business and system challenges through detailed analysis
- Ensure application design aligns with overall architectural standards
- Develop and follow standards for coding testing debugging and implementation
- Implement unit testing and Test-Driven Development (TDD) practices
- Identify risks and ensure compliance with policies regulations and ethical standards
- Support transparency in issue escalation and resolution
Required Qualifications - Bachelors degree in Computer Science Data Science Statistics Mathematics Engineering or a related field
- 1 3 years of experience developing scalable and reliable machine learning systems
- Experience with ML/DL/LLM models architectures and training techniques
- Strong proficiency in Python and libraries such as NumPy and Pandas
- Experience working with Large Language Models (LLMs)
- Ability to work both independently and in a team environment
Technical & Soft Skills Technical Skills: - Programming: Python
- Libraries/Tools: NumPy Pandas
- AI/ML: Machine Learning Deep Learning LLMs Generative AI exposure
- Testing: Unit Testing Test-Driven Development (TDD)
- Data Processing: Structured and unstructured data handling
- Architecture: Understanding of application design and system architecture
Preferred Skills: - Experience working on Generative AI or LLM-based projects
- Familiarity with distributed data and computing tools (Hadoop Hive Spark MySQL)
- Experience in financial services banking or risk management domains
- Exposure to AI development tools such as GitHub Copilot
Soft Skills: - Strong analytical and problem-solving abilities
- Clear communication and collaboration skills
- Adaptability and willingness to learn new technologies
- Ability to work effectively in a global cross-functional environment
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(Local candidates only as F2F Interview is must) Project Overview The client is seeking a Python Software Engineer (Analyst level) to support development of new and existing applications within its Technology team. The role focuses on building Python-based solutions performing data extracti...
| (Local candidates only as F2F Interview is must)
Project Overview The client is seeking a Python Software Engineer (Analyst level) to support development of new and existing applications within its Technology team. The role focuses on building Python-based solutions performing data extraction and analysis and contributing to AI/ML initiatives including exposure to LLMs and Generative AI. The position requires collaboration with global teams and participation in modern development practices. Key Responsibilities - Design and implement robust Python-based applications
- Perform data extraction and analysis from structured and unstructured sources
- Collaborate with global technology teams across multiple time zones
- Follow object-oriented programming (OOP) standards and development best practices
- Contribute to solving complex business and system challenges through detailed analysis
- Ensure application design aligns with overall architectural standards
- Develop and follow standards for coding testing debugging and implementation
- Implement unit testing and Test-Driven Development (TDD) practices
- Identify risks and ensure compliance with policies regulations and ethical standards
- Support transparency in issue escalation and resolution
Required Qualifications - Bachelors degree in Computer Science Data Science Statistics Mathematics Engineering or a related field
- 1 3 years of experience developing scalable and reliable machine learning systems
- Experience with ML/DL/LLM models architectures and training techniques
- Strong proficiency in Python and libraries such as NumPy and Pandas
- Experience working with Large Language Models (LLMs)
- Ability to work both independently and in a team environment
Technical & Soft Skills Technical Skills: - Programming: Python
- Libraries/Tools: NumPy Pandas
- AI/ML: Machine Learning Deep Learning LLMs Generative AI exposure
- Testing: Unit Testing Test-Driven Development (TDD)
- Data Processing: Structured and unstructured data handling
- Architecture: Understanding of application design and system architecture
Preferred Skills: - Experience working on Generative AI or LLM-based projects
- Familiarity with distributed data and computing tools (Hadoop Hive Spark MySQL)
- Experience in financial services banking or risk management domains
- Exposure to AI development tools such as GitHub Copilot
Soft Skills: - Strong analytical and problem-solving abilities
- Clear communication and collaboration skills
- Adaptability and willingness to learn new technologies
- Ability to work effectively in a global cross-functional environment
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Job Location:
Monthly Salary:
Not Disclosed
Posted on:
8 days ago
Vacancies:
1 Vacancy
