AI/ML Data Solution Architecture Ability to define data architecture strategy that align with business goals for AI use cases and ensures data availability & data accuracy. Ensuring data quality by implementing and enforcing data governance policies and best practices Technology evaluation & selection Execute Proof of concept and Proof of value for various technology solutions and frameworks Continuous Learning - Staying up to date with emerging technologies and trends in Data Engineering, AI / ML, and GenAI, and making recommendations for their adoption wherever appropriate Team Management Responsible for leading a team of data architects and data engineers, as well as coordinating with vendors and technology partners Collaboration & communication Collaborate and work closely with executives, stakeholder and business teams to effectively communicate architecture strategy & clearly articulate the business value.
Experience : 10 to 15 yrs
Work location : JP Nagar 3rd phase, South Bangalore.
Suitable candidate be able to demonstrate strong experience in the following areas -
Data Engineering
- Hands-on experience with data engineering tools such as Talend (or Informatica or AbInitio), Databricks (or Spark), and HVR (or Attunity or Golden Gate or Equalum).
- Working knowledge of data build tools, Azure Data Factory, continuous integration and continuous delivery (CI/CD), automated testing, data lakes, data warehouses, big data, Collibra, and Unity Catalog
- Basic knowledge of building analytics applications using Azure Purview, Power BI, Spotfire, and Azure Machine Learning.
AI & ML -
- Conceptualize & design end-to-end solution view of sourcing data, pre-processing data, feature stores, model development, evaluation, deployment & governance
- Define model development best practices, create POVs on emerging AI trends, drive the proposal responses, help solving complex analytics problems and strategize the end-to-end implementation frameworks & methodologies
- Thorough understanding of database, streaming & analytics services offered by popular cloud platforms (Azure, AWS, GCP) and hands-on implementation of building machine learning pipeline with at least one of the popular cloud platforms
- Expertise on Large Language Model preferred with exposure to implementing generative AI using ChatGPT / Open AI and other models. Harvesting Models from open source will be an added advantage
- Good understanding of statistical analysis, data analysis and knowledge of data management & visualization techniques
- Exposure to other AI Platforms & products (Kore.ai, expert.ai, Dataiku etc.) desired
- Hands-on development experience in Python/R is a must and additional hands-on experience on few other procedural/object-oriented programming languages (Java, C#, C++) is desirable.
- Leadership skills to drive the AI/ML related conversation amidst CXO, Senior Leadership and making impactful presentations to customer organizations
Stakeholder Management & Communication Skills
- Excellent communication, negotiation, influencing and stakeholder management skills
- Preferred to have experience in project management, particularly in executing projects using Agile delivery frameworks
- Customer focus and excellent problem-solving skills
Qualification
- BE or MTech (BSc or MSc) in engineering, sciences, or equivalent relevant experience required.
- Total 13+ years of experience and 10+ years of experience in building/managing/administrating data and analytics applications is required
- Designing solution architecture and present the architecture in architecture review forums
Additional Qualifications
- Ability to define best practices for data governance, data quality, and data lineage, and to operationalize those practices.
- Proven track record of designing and delivering solutions that comply with industry regulations and legislation such as GxP, SoX, HIPAA, and GDPR.
