AIML Python Developer

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Roles & Responsibilities :

AI Solution Design: Identify and implement frameworks and tools for AI and Generative AI (GenAI) solutions emphasizing RAG-based techniques.

Implementation: Develop specific use cases and modules within the GenAI technology stack ensuring seamless integration with operational data stored in PostgreSQL.
Code Quality Assurance: Conduct system design and code reviews to ensure adherence to quality guidelines and standards throughout the software engineering lifecycle.
Software Development Lifecycle: Demonstrate proficiency in SDLC and agile methodologies to manage projects effectively.
Microservices and REST APIs: Apply microservices principles to design and develop RESTful APIs ensuring scalability and maintainability.
Testing and Security: Write unit test cases and produce production-ready code that is free from security vulnerabilities and linting issues.
Scalability: Ensure that the developed code is production-ready and can scale efficiently without bottlenecks.
Research and Innovation: Stay updated with the latest AI research papers and innovations to build agentic workflows and drive continuous improvement.
Collaboration: Work with team members to derive overall solution architecture requirements and ensure compliance with intellectual property and open-source regulations.

Qualifications :

Educational qualification:

Educational Background: Bachelors degree (BE/BTech) in Computer Science Information Technology or a related field.
AI/ML Proficiency: Strong knowledge of AI/ML tools and Natural Language Processing (NLP) techniques.
GenAI Experience: Hands-on experience with GenAI foundation models and vector databases leveraging foundational AI models for advanced capabilities.

Experience :

Microservices Architecture: Familiarity with microservices principles and experience in developing RESTful APIs.
Security Awareness: Knowledge of writing secure code addressing linting issues and ensuring compliance with security standards.
Scalability: Experience in developing production-ready code that can scale efficiently without bottlenecks.

Mandatory/requires Skills :
AI/ML Proficiency: Strong knowledge of AI/ML tools and Natural Language Processing (NLP) techniques.

GenAI Experience: Hands-on experience with GenAI foundation models and vector databases leveraging foundational AI models for advanced capabilities.
Orchestration Tools: Proficiency in using orchestration tools like Semantic Kernel and Langchain for efficient AI model management.
Software Engineering Skills: Solid understanding of software engineering principles including writing clean maintainable code and conducting thorough testing.
Innovation: Ability to read and comprehend the latest research papers applying insights to innovate and build agentic workflows.

Preferred Skills :

Additional Information :

Sound knowledge of Generative AI technology stack
Identification of frameworks and tools for AI / Gen AI solution design
Implementation of specific use cases / modules under GenAI technology stack
System design and code review to assure quality guidelines and standard are followed acroos software engineering lifecycle.
Sound knowledge of SDLC agile methodology.
Preferred (not mandatory) to have experience in automotive domain.
Working with other team members to derive overall solution architecture requirements.
Sensitive to IP and open-source regulations and enable team to comply.

Remote Work :

Employment Type :

Full-time

Roles & Responsibilities :AI Solution Design: Identify and implement frameworks and tools for AI and Generative AI (GenAI) solutions emphasizing RAG-based techniques.Implementation: Develop specific use cases and modules within the GenAI technology stack ensuring seamless integration with operationa...

Roles & Responsibilities :

AI Solution Design: Identify and implement frameworks and tools for AI and Generative AI (GenAI) solutions emphasizing RAG-based techniques.

Implementation: Develop specific use cases and modules within the GenAI technology stack ensuring seamless integration with operational data stored in PostgreSQL.
Code Quality Assurance: Conduct system design and code reviews to ensure adherence to quality guidelines and standards throughout the software engineering lifecycle.
Software Development Lifecycle: Demonstrate proficiency in SDLC and agile methodologies to manage projects effectively.
Microservices and REST APIs: Apply microservices principles to design and develop RESTful APIs ensuring scalability and maintainability.
Testing and Security: Write unit test cases and produce production-ready code that is free from security vulnerabilities and linting issues.
Scalability: Ensure that the developed code is production-ready and can scale efficiently without bottlenecks.
Research and Innovation: Stay updated with the latest AI research papers and innovations to build agentic workflows and drive continuous improvement.
Collaboration: Work with team members to derive overall solution architecture requirements and ensure compliance with intellectual property and open-source regulations.

Qualifications :

Educational qualification:

Educational Background: Bachelors degree (BE/BTech) in Computer Science Information Technology or a related field.
AI/ML Proficiency: Strong knowledge of AI/ML tools and Natural Language Processing (NLP) techniques.
GenAI Experience: Hands-on experience with GenAI foundation models and vector databases leveraging foundational AI models for advanced capabilities.

Experience :

Microservices Architecture: Familiarity with microservices principles and experience in developing RESTful APIs.
Security Awareness: Knowledge of writing secure code addressing linting issues and ensuring compliance with security standards.
Scalability: Experience in developing production-ready code that can scale efficiently without bottlenecks.

Mandatory/requires Skills :
AI/ML Proficiency: Strong knowledge of AI/ML tools and Natural Language Processing (NLP) techniques.

GenAI Experience: Hands-on experience with GenAI foundation models and vector databases leveraging foundational AI models for advanced capabilities.
Orchestration Tools: Proficiency in using orchestration tools like Semantic Kernel and Langchain for efficient AI model management.
Software Engineering Skills: Solid understanding of software engineering principles including writing clean maintainable code and conducting thorough testing.
Innovation: Ability to read and comprehend the latest research papers applying insights to innovate and build agentic workflows.

Preferred Skills :

Additional Information :

Sound knowledge of Generative AI technology stack
Identification of frameworks and tools for AI / Gen AI solution design
Implementation of specific use cases / modules under GenAI technology stack
System design and code review to assure quality guidelines and standard are followed acroos software engineering lifecycle.
Sound knowledge of SDLC agile methodology.
Preferred (not mandatory) to have experience in automotive domain.
Working with other team members to derive overall solution architecture requirements.
Sensitive to IP and open-source regulations and enable team to comply.

Remote Work :

Employment Type :

Full-time

Key Skills

APIs
Docker
Jenkins
REST
Python
AWS
NoSQL
MySQL
JavaScript
Postgresql
Django
GIT

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About Company

Bosch Group

Bosch first started in Vietnam with a representative office in 1994. Bosch has its main office in Ho Chi Minh City, with branch offices in Hanoi and Da Nang, and a Powertrain Solutions plant in the Dong Nai province to manufacture pushbelt for continuously variable transmissions (CVT) ... View more

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