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Azure Ai Engineer Remote Jobs in Indiana (NOW HIRING)

Senior Cloud Solutions Engineer

Hammond, IN · Remote

$120K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Overview The Sr. Cloud Solutions Engineer designs, implements, and supports scalable, secure ... Experience with hybrid infrastructures, Azure Virtual Desktop, Remote Desktop Services, Entra ID ...

Senior Cloud Solutions Engineer

Indianapolis, IN · Remote

$120K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Overview The Sr. Cloud Solutions Engineer designs, implements, and supports scalable, secure ... Experience with hybrid infrastructures, Azure Virtual Desktop, Remote Desktop Services, Entra ID ...

Manager, Data Engineering

Carmel, IN · On-site +1

$111K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... into AI-augmented engineering practices * Oversee the full software development lifecycle for data pipelines, transformations, and analytics services running in Azure, AWS, and Snowflake * Ensure ...

Sr. Data Engineer

Indianapolis, IN · Remote

$101K - $137K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Deliver the data infrastructure that makes AI-powered loyalty products possible. Not by building ...

Sr DevOps Engineer

Indianapolis, IN · Remote

$123K - $158K/yr

Sr. DevOps Engineer 100% Remote Position We have built a cloud-based policy administration platform ... Azure / GCP (Google Cloud is preferred) ● Knowledge of containerization technologies such as ...

Platform Engineer

Indianapolis, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Azure Cloud services, while supporting enterprise on-premises systems. In this role, you'll lead ... remote. The type of arrangement available is determined by the position and business needs

Senior DevOps Engineer

Indianapolis, IN · Remote

$123K - $158K/yr

DevOps Engineer 100% Remote Position We have built a cloud-based policy administration platform ... Azure / GCP (Google Cloud is preferred) ● Knowledge of containerization technologies such as ...

We have a flexible work environment with a mixture of remote work and in office hours ... Experience with cloud native applications in Azure, AWS, etc. * Experience with HIPAA secure health ...

Showing results 41-60

Azure Ai Engineer Remote information

What are the key skills and qualifications needed to thrive as an Azure AI engineer remote, and why are they important?

To thrive as an Azure AI Engineer (Remote), you need expertise in AI/ML concepts, programming languages like Python, and experience with cloud platforms, especially Microsoft Azure, often supported by a degree in computer science or a related field. Familiarity with Azure AI services (such as Azure Machine Learning, Cognitive Services), DevOps tools, and certifications like Microsoft Certified: Azure AI Engineer Associate are typically required. Strong problem-solving, communication, and collaboration skills are essential for remote teamwork and project delivery. These abilities ensure effective design, deployment, and management of AI solutions that meet business objectives in distributed environments.

How do Azure AI engineers typically collaborate with cross-functional teams in a remote setting?

As an Azure AI Engineer working remotely, you'll frequently collaborate with data scientists, software developers, and project managers through virtual meetings and cloud-based project management tools. Effective communication is crucial, as you'll need to translate complex AI solutions into actionable insights for both technical and non-technical stakeholders. You may participate in daily stand-ups, code reviews, and collaborative design sessions to ensure alignment on project goals and integration of AI models into larger cloud architectures. Remote work often requires strong self-management skills and proactive sharing of progress to maintain team cohesion.

What is the difference between Azure Ai Engineer Remote vs Data Scientist Remote?

AspectAzure Ai Engineer RemoteData Scientist Remote
Required CredentialsAzure certifications, AI/ML knowledgeStatistics, programming, data analysis skills
Work EnvironmentCloud platforms, AI development toolsData analysis, modeling, research environments
Employer & Industry UsageTech companies, AI-focused firmsResearch institutions, tech companies, finance
Search & Comparison IntentUnderstanding role differences, job requirementsCareer options, skill overlaps

Azure Ai Engineer Remote focuses on developing and deploying AI solutions using Azure cloud services, requiring certifications like Azure AI Engineer Associate. Data Scientist Remote emphasizes analyzing data, building models, and deriving insights, often with statistical and programming skills. While both roles involve data and AI, Azure Ai Engineers are more cloud and deployment-oriented, whereas Data Scientists focus on analysis and research.

What is an Azure AI engineer?

Azure AI Engineers are professionals who design, build, and deploy artificial intelligence solutions using Microsoft Azure's suite of AI services. They work with data scientists, developers, and stakeholders to integrate AI capabilities such as computer vision, natural language processing, and machine learning into cloud-based applications. Their responsibilities often include managing Azure AI resources, optimizing models for performance and scalability, and ensuring solutions align with business needs, all while working remotely.

What are the most commonly searched types of Azure Ai Engineer jobs in Indiana?

The most popular types of Azure Ai Engineer jobs in Indiana are:

What job categories do people searching Azure Ai Engineer Remote jobs in Indiana look for?

The top searched job categories for Azure Ai Engineer Remote jobs in Indiana are:

What cities in Indiana are hiring for Azure Ai Engineer Remote jobs?

Cities in Indiana with the most Azure Ai Engineer Remote job openings:

Digital Chemistry Specialist - Remote

micro1 AI

South Bend, IN • Remote

$90 - $120/hr

Part-time

Posted 18 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.