oracle

AI Applications Engineer Intermediate

Archrock Career Site

Houston, USA

Full-time

Mid

Onsite

Discovered 2 days ago

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Qualifications

Skills and Abilities:
Ability to:
Build and manage Data Pipelines
Build and manage data models
Build and manage AI Models
Manage and build reports in MS Fabric
Manage Azure Data Lake Storage
Use TSQL (Queries, Functions, Stored Procedures)
Code using Python and Pyspark
Knowledge:
MS Fabric, Power BI
Python, Pyspark and TSql
Azure DevOps
AI and Machine Learning
Build and manage Gen AI models using MS Foundry and similar platforms
Build and manage agents using MS Foundry or Copilot studio and custom development tool
Data engineering in Azure
Minimum Education and Certification:
Bachelor's degree and preferred master’s degree
Minimum Experience:
Preferred 2+ years of AI/ML/Data science and Data Lake experience
Leadership:
Customer-focused professional who is motivated to drive the creation of great data engineering platforms.
Contribute to the continued evolution of the Corporate Analytics Platform
Responsible for managing a growing cloud-based data ecosystem.
Problem Solving and Innovation:
Ability to define and create complex to simple models to build insights, predictions, and innovations from data.
Expected to identify opportunities and to provide ideas, methods, and innovations to enhance teamwork, efficiency, and quality.
This job description is a summary of essential job functions. It is not intended as an employment contract, nor is it intended to describe all duties someone in this position may perform. All employees are expected to perform tasks, as assigned by supervisor, regardless of job title or routine job duties.

Responsibilities

Essential Duties (Approximate % of Time Spent)
List of duties and group similar items:
Work as an azure cloud data and solution engineer, an individual contributor, and a team player.
Analyze, design, and determine coding, programming, and integration activities required based on specific objectives.
Manage data pipeline jobs failure issues.
Optimization of existing ML jobs for better performance.
Develop processes, techniques, and tools to analyze and monitor platform performance.
Strong working knowledge in MS Analytic Platforms such as MS Fabric, Synapse and Data lakes.
Experience in developing and managing AI/ML Models.
Experience with Gen AI Models.
Experience with AI agents development and manage them.
Experience in AI and ML Ops.
Experience in Azure cloud eco system.
Experience in managing databases and objects.
Experience Azure Data Lake Storage with Azure Synapse.
Knowledgeable in programming languages such as SQL, Python and Pyspark.
Identify, troubleshoot and resolve issues related to data and AI jobs.
Support ingestion pipelines from a data engineering standpoint.
Participation in the design of data models for reports.
Experience with Azure Functions and API integration.
Non-Essential Duties: Performs other duties as assigned.
Negotiate and influence changes outside of the team that continuously shape and improve the Data strategy.
Participate or run critical engagements, consistently delivering quality services. Drive high-quality work products within expected timeframes and on budget.
Collaborate with advance analytics team.
All employees shall be in compliance with the Archrock Health Safety and Environmental Policy and local, statutory and/or regulatory requirements at all times.

Preferred Qualifications

Bachelor's degree and preferred master’s degree
Preferred 2+ years of AI/ML/Data science and Data Lake experience

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