BENGALURU · FULLTIME
Software Engineer - Data & AI Products
IBM
Bengaluru · onsite · Posted 1d ago
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Undisclosed4–8 yrsfulltimeBengaluru
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Section · 01
About this role
Your Role and Responsibilities:
As a Software Developer: Generalist, you will design, develop, test, and deliver offerings using leading-edge and/or proven technologies. You will work in an Agile, collaborative environment to understand stakeholder requirements and contribute to the development of innovative software solutions.
Your Primary Responsibilities Will Include:
- Contribute to evolving existing source data pipelines to an ELT model of data ingestion.
- Implement the separation of source-aligned data products from aggregate data products.
- Decorate your data products with metadata to support knowledge transfer, adoption, and the application of Machine Learning and LLMs.
- Develop and build Data & AI applications and intelligent features, leveraging large language models (LLMs) to enhance data products, under technical guidance.
- Implement new data pipelines and good to support the training, fine-tuning, and deployment of AI/ML models.
- Tag and classify your data assets to ensure they are used responsibly throughout the organization, applying masking or restricting access where appropriate.
- Apply software engineering best practices to your code release process to support CI/CD and a high velocity collaboration model based on InnerSource, including MLOps principles.
- Register and maintain the catalog entries for your data products and models to support discoverability and reuse.
- Ensure your data products easily join with other business data products using common identifiers and keys.
- Develop automated and resilient processes that support the end-end delivery of business value.
- Contribute to defining and delivering on a data product SLO for your data 'customers'.
- Responsibly share your data products with other internal consumers while balancing the core needs of security and compliance.
- Contribute feedback and recommendations to the Data Platform team in order to remove friction and increase scale for all users.
- Write custom adapters to integrate internal data sources into the centralized Warehouse environment.
- Support and learn from team members on best practices in AI application development and data governance.
Required Education:
Bachelor's Degree
Preferred Education:
Bachelor's Degree
Required Technical and Professional Expertise:
What you will bring
- Solid software, data, and AI/ML engineering skills that contribute to maintainable data products and intelligent applications.
- Experience in developing and deploying applications utilizing Large Language Models (LLMs).
- Familiarity with leading generative AI platforms and models, such as Codex, Claude, Gemini, or other equivalent open-source or proprietary LLMs.
- Advanced proficiency in using SQL for data transformation.
- Proficiency in at least one general purpose programming language, eg. Python (preferred for AI/ML), Go, Java, Rust, etc.
- A collaborative approach, actively participating in technical debates and being open to different perspectives.
- Focus on quality in all aspects of work, from code through to data.
- Empathy for the users of your data products, leading to a focus on increasing adoption and delivering business results.
- Ability to prioritize work to maximize contributions and impact.
- Bias for action and a proactive approach.
- Past experience in building data products, ideally with some exposure to governance and compliance requirements.
The following experience is considered a plus
- Familiarity with open source or inner source development and processes
- Familiarity of data mesh architectural principles
- Experience with MLOps frameworks and tools.
- Experience with Snowflake, Fivetran, dbt, Airflow / Astronomer
Preferred Technical and Professional Experience:
What you will bring
- Solid software, data, and AI/ML engineering skills that contribute to maintainable data products and intelligent applications.
- Experience in developing and deploying applications utilizing Large Language Models (LLMs).
- Familiarity with leading generative AI platforms and models, such as Codex, Claude, Gemini, or other equivalent open-source or proprietary LLMs.
- Advanced proficiency in using SQL for data transformation.
- Proficiency in at least one general purpose programming language, eg. Python (preferred for AI/ML), Go, Java, Rust, etc.
- A collaborative approach, actively participating in technical debates and being open to different perspectives.
- Focus on quality in all aspects of work, from code through to data.
- Empathy for the users of your data products, leading to a focus on increasing adoption and delivering business results.
- Ability to prioritize work to maximize contributions and impact.
- Bias for action and a proactive approach.
- Past experience in building data products, ideally with some exposure to governance and compliance requirements.
The following experience is considered a plus
- Familiarity with open source or inner source development and processes
- Familiarity of data mesh architectural principles
- Experience with MLOps frameworks and tools.
- Experience with Snowflake, Fivetran, dbt, Airflow / Astronomer
Years of Experience:4 - 8
Sourced from naukri
Section · 02
Skills
AgileData ingestionclaudefivetrandata transformationapache airfloweltdbtgeminibusiness datadeploymentDeploying ApplicationsJavaData GovernanceApplication DevelopmentcomplianceGenerative AiData PipelineArtificial Intelligence
Section · Company
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