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Azure Ml Engineer Jobs in Indiana (NOW HIRING)

NEOGOV

Solution Architect

Indianapolis, IN · On-site

$55.25 - $72.75/hr

... Azure ML, Google Vertex AI) • Knowledge of prompt engineering and fine-tuning large language models (LLMs) • Strong communication and presentation skills • Ability to explain complex technical ...

MarLabs

Computational Biology MLOps Engineer

Indianapolis, IN · On-site

$106K - $125K/yr

Build and maintain ML infrastructure, including CI/CD pipelines (GitHub Actions) for model training ... or Azure. * Preferred experience with scientific data, protein structure formats such as PDB and ...

Jj

Staff AI/ML Software Engr, Navigation

Warsaw, IN · On-site

As a Staff AI/ML Software Engineer in the Navigation R&D team, you will architect, plan and lead ... Demonstratable expertise in ML model training/optimization, local/cloud (AWS Sagemaker, Azure ...

CSpring

Cloud Data Engineer

Indianapolis, IN

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

CSpring

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

CSpring

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

DwyerOmega

Director, Data Engineering

Michigan City, IN · On-site

$165K/yr

Build and mentor a high-performing team of data engineers, ML engineers, and data architects who ... Extensive experience with Azure (or equivalent cloud hyperscaler) data stacks (e.g., Synapse/Fabric ...

Vergence

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

Vergence is seeking a Senior Azure Data Engineer to help design, build, and operate our next ... AI/ML use cases. You will partner closely with data architects, analytics engineers, data ...

Munich Re

Data Scientist

Indianapolis, IN · On-site +1

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Azure DevOps. Skills / Knowledge / Experience: * Develop and project manage modeling projects and ...

Munich Re

Data Scientist

Fishers, IN · On-site +1

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Azure DevOps. Skills / Knowledge / Experience: * Develop and project manage modeling projects and ...

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Azure Ml Engineer information

What is the difference between Azure Ml Engineer vs Data Scientist?

AspectAzure Ml EngineerData Scientist
Required CredentialsAzure certifications, programming skills, machine learning knowledgeStatistics, programming, data analysis, often with advanced degrees
Work EnvironmentCloud platforms, Azure services, deployment pipelinesData analysis, modeling, research environments, often using Python/R
Employer & Industry UsageTech companies, enterprises leveraging Azure cloudResearch institutions, tech firms, finance, healthcare

Azure Ml Engineers focus on deploying and managing machine learning models within Azure cloud environments, emphasizing cloud infrastructure and deployment. Data Scientists primarily analyze data, develop models, and generate insights, often working in research or analytical settings. While both roles require strong programming and ML knowledge, Azure Ml Engineers are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and model development.

Are Azure ML engineers still in demand?

Azure ML engineers are currently in high demand due to the growing adoption of cloud-based machine learning solutions and the need for expertise in Azure services, data modeling, and deployment. Organizations seek professionals with skills in Azure Machine Learning Studio, Python, and related tools to develop and manage AI models efficiently.

What is the salary of an Azure ML engineer?

The salary of an Azure ML engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and certifications. Senior roles or those in high-demand areas may offer higher compensation, especially for professionals with strong skills in machine learning, cloud platforms, and data engineering.

What cities in Indiana are hiring for Azure Ml Engineer jobs?

Cities in Indiana with the most Azure Ml Engineer job openings:

Azure Ml Engineer jobs near you

Solution Architect

Indianapolis, IN • On-site

NEOGOV
Software Development • 501 - 1,000 employees
Learn more about NEOGOVexternal

$55.25 - $72.75/hr

Full-time

Re-posted 26 days ago

Key responsibilities

  • Design end-to-end technical solutions across applications, data, integration, and infrastructure layers.

  • Work with stakeholders to translate business requirements into scalable, secure, and high-performance solutions.

  • Create architecture diagrams, technical design documents, and solution blueprints, and review designs for architectural compliance.

Job description

Job Summary:
NEOGOV is looking for a Solution Architect to join the Office of the Indiana Attorney General, which has a long-standing commitment to serving the state and its residents. The Solution Architect will be responsible for designing end-to-end technical solutions that align with business goals and ensure scalability, security, performance, and cost-effectiveness, while collaborating with various stakeholders.
Responsibilities:
• Design end-to-end solution architectures across applications, data, integration, and infrastructure layers
• Translate business requirements into scalable, secure, and high-performance technical solutions
• Define reference architectures, patterns, and best practices
• Create architecture diagrams, technical design documents (TADs), and solution blueprints
• Work with business leaders, product owners, and engineering teams to align solutions with business objectives
• Participate in client discussions, technical workshops, and solution reviews
• Provide technical leadership and guidance throughout the project lifecycle
• Evaluate and recommend technology stacks, frameworks, and platforms
• Design solutions using cloud platforms (AWS, Azure, GCP)
• Ensure alignment with security, compliance, and governance standards (HIPAA, SOC2, NIST, FedRAMP, etc.)
• Design API-driven and event-based integrations
• Architect data pipelines, data models, and analytics solutions
• Ensure data privacy, tenant isolation, and governance in multi-tenant systems
• Support engineering teams during development, testing, and deployment
• Review code and designs for architectural compliance
• Identify technical risks, performance bottlenecks, and scalability issues early
Qualifications:
Required:
• Strong experience in solution and system architecture
• Hands-on knowledge of cloud architecture (AWS / Azure / GCP)
• Experience with microservices, APIs, event-driven architectures
• Solid understanding of databases (SQL, NoSQL), data modeling, and caching
• Familiarity with DevOps, CI/CD pipelines, and containerization
• Experience with security, authentication, authorization, and compliance
• Knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• Experience with building and deploying AI models in production environments
• Familiarity with natural language processing (NLP), computer vision, and generative AI concepts
• Understanding of MLOps practices for model lifecycle management
• Hands-on experience with AI services on cloud platforms (AWS SageMaker, Azure ML, Google Vertex AI)
• Knowledge of prompt engineering and fine-tuning large language models (LLMs)
• Strong communication and presentation skills
• Ability to explain complex technical concepts to non-technical stakeholders
• Proven leadership and decision-making abilities
• Strong analytical and problem-solving mindset
Preferred:
• Cloud experiences (AWS Solution Architect, Azure Architect, GCP Architect)
• Experience in SaaS, multi-tenant platforms, or enterprise systems or CRM solutions
• Exposure to AI/ML, data analytics, or automation platforms or Salesforce, Formstack
• Prior consulting or client-facing experience
Company:
NEOGOV is the leading provider of workforce management software uniquely designed for the public sector, education, and public safety. Founded in 1999, the company is headquartered in El Segundo, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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