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Artificial Intelligence Architect @ JoulestoWatts

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 Artificial Intelligence Architect

Job Description

Key Job Requirements

1. Machine Learning

  • Strong foundation in classical ML algorithms and model development.
  • Experience with ML lifecycle management including:
    • MLflow for experiment tracking (experiments, runs, artifacts, parameters, model versioning).
    • Understanding of how experiments are judged and maintained.
    • Model production monitoring
  • Hands-on work in ML model deployment and evaluation preferred.

2. Data Engineering (Secondary Focus)

  • Experience with Snowflake and Databricks.
  • Ability to work with data pipelines, ETL/ELT workflows, and data transformation.

3. Generative AI

  • Exposure to GenAI concepts and tools.
  • Familiarity with LLMs (Large Language Models) and prompt engineering is a plus.
  • While not the top priority, the candidate should grasp the fundamentals of GenAI.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: IT & Information Security
Role Category: IT & Information Security - Other
Role: IT & Information Security - Other
Employement Type: Full time

Contact Details:

Company: Orcapod Consulting
Location(s): Hyderabad

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Keyskills:   Artificial Intelligence Snowflake ETL Machine Learning Data Bricks

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