Azure Machine Learning

Azure Machine Learning Developer Jobs

2 jobs found

Today

Machine Learning Engineer

Roper Technologies Inc Sarasota, FL

Sarasota, FL

Today

Full time Ai Ml Artificial Intelligence Automation

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Job Description

Machine Learning Engineer at Roper Technologies in Sarasota, FL onsite, focused on designing, building, and deploying production-grade AI systems, including AI agents and enterprise integrations across the software portfolio.

Responsibilities

Architect, build, and deploy production-ready ML models and AI systems across the software stack.
Develop model inference services and scalable data/feature pipelines.
Create complex recommendation and matching services for enterprise applications.
Build vision-based analysis components and supporting evaluation and monitoring pipelines.
Optimize models for performance, reliability, and cost efficiency.
Contribute to AI agents and multi-step workflow automation initiatives.
Design systems that integrate with enterprise tools and APIs, including tool-use frameworks and memory plus evaluation loops.
Experiment with LLMs, foundation models, and fine-tuning approaches.
Translate cutting-edge AI research into practical, scalable solutions.
Write high-quality, maintainable, and well-tested code; participate in architecture design and technical reviews.
Contribute to CI/CD pipelines and MLOps workflows; implement observability and production monitoring for AI systems.
Follow security, compliance, and responsible AI best practices.
Partner with product, data engineering, and infrastructure teams; identify high-impact AI use cases within portfolio companies.
Support integration of shared AI components into business applications; communicate technical tradeoffs to stakeholders.

Requirements

3+ years of experience in software engineering, data science, or machine learning; more experience for senior roles.
Track record of building and deploying production software systems.
Strong Python programming skills; experience with additional languages is a plus.
Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
Understanding of modern AI architectures, including LLM-based systems.
Experience working in cloud environments (AWS, Azure, or GCP).
Strong problem-solving abilities and meticulous attention to detail.

Technologies

Python
PyTorch
TensorFlow
scikit-learn
AWS
Azure
GCP

Leveling & Growth

Intermediate ML Engineer – contributes independently to projects, builds production features, and collaborates cross-functionally.
Senior ML Engineer – owns complex systems end-to-end, drives architectural decisions, and mentors others.
Principal / Staff ML Engineer – defines technical direction, leads cross-portfolio initiatives, and designs shared frameworks and scalable AI infrastructure.

What We Value

Strong engineering fundamentals.
Practical, impact-driven AI development.
Curiosity and willingness to experiment responsibly.
Ownership mindset with a bias toward execution.
Ability to balance innovation with reliability.

Why Join

Work on high impact AI systems across a diverse portfolio of leading software businesses.
Build reusable infrastructure that scales across industries.
Collaborate with experienced engineering and executive leadership.
Help shape the next generation of intelligent enterprise software.

Preferred

Fine tuning, experimentation, and rapid development using AI tools.
Agent frameworks and orchestration tools; distributed systems or microservices architecture.
Model monitoring and evaluation frameworks; building reusable libraries or shared infrastructure.
Experience with SaaS products or enterprise software environments.
Background in optimizing models for performance and cost.

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1d ago

Senior Data Engineer

Sgn Global Technologies Remote 🌍 Remote

Remote

1d ago

$50 - $55/hr Full time Senior Azure Machine Learning Azure Synapse Analytics

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Job Description

At Sgn Global Technologies, a remote W2 Senior Data Engineer is sought to design and sustain data infrastructure that powers analytics across cloud-based environments. The role centers on building and maintaining SQL databases and ELT/ETL pipelines, with hands-on work in Python, PySpark or Polars, Azure Synapse Analytics, and Azure Machine Learning. This position emphasizes delivering modular, maintainable code within a modern data stack.

Location: Remote

Compensation: USD 50 - 55 per hourly