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Data Architect - AI/ML
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Data Architect - AI/ML

Arungouda S D's profile picture
Posted by Arungouda S D
12 - 16 yrs
₹30L - ₹45L / yr
Bengaluru (Bangalore)
Skills
Data engineering
Artificial Intelligence (AI)
skill iconMachine Learning (ML)
databricks
Databases
confluence
Architecture

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 : 12 to 16 yrs


Work location : JP Nagar 3rd phase, South Bangalore. (Work from office role, IC role to begin with)


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.


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About Boston Technology Corporation

Founded :
2004
Type :
Services
Size :
100-1000
Stage :
Profitable

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North America’s most trusted mobile and web application development company for healthcare. Trusted by the FDA and Google.
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