Azure Machine Learning

Azure Machine Learning Data Jobs

4 jobs found

Today

Lead Machine Learning Engineer

Capital One McLean, VA

McLean, VA

Today

$197k - $225k/yr Full time Manager Agentic Ai Systems AI

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Job Description

Lead the delivery of AI enablement for Finance, building and governing ML systems and end user AI capabilities.

Responsibilities

Partner with engineers, data scientists, product managers, and designers to deliver AI-powered products that support associate workflows and customer value
Design, develop, test, deploy, and support AI software components using machine learning, including:
- Model evaluation and experimentation
- Large language model inference
- Similarity search
- Guardrails
- Governance and risk-aligned controls
- Observability
- Agentic AI
Fine-tune, develop, and evaluate machine learning and foundation models
Collaborate on a cross-functional Agile team to create and improve software using state-of-the-art AI and ML capabilities
Contribute technical vision and thought leadership to guide the long-term roadmap for pioneering AI systems
Use a broad stack of open source and SaaS AI technologies
Apply expertise in ML modeling techniques and related issues to inform ML infrastructure decisions
Retrain, maintain, and monitor models in production
Build optimized data pipelines to support ML model training and performance
Manage code to reduce vulnerabilities, ensure model governance from a risk perspective, and follow best practices for Responsible and Explainable AI

Requirements

Bachelor’s Degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems

Preferred Qualifications

Master’s or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field
7+ years of experience designing, developing, delivering, and supporting AI services at scale
3+ years of experience building production-ready data pipelines that feed ML models
3+ years of on-the-job experience with an industry-recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
3+ years of experience developing AI/ML algorithms or technologies using Python
2+ years of experience with Retrieval Augmented Generation (RAG)
2+ years of experience with data gathering and preparation for ML models
2+ years of people leader experience
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating performance
Experience leveraging interactive AI tooling to accelerate productivity beyond basic code completion
Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, or Azure

Technology Stack

Python
Scala
Java
scikit-learn
PyTorch
Dask
Spark
TensorFlow
Retrieval Augmented Generation (RAG)
AWS Bedrock
Google Cloud
Azure

Benefits

Eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being

Location

McLean, VA 22101 (onsite)

Salary

USD 197,300 - 225,100 per year
Cambridge, MA: $197,300 - $225,100
McLean, VA: $197,300 - $225,100
New York, NY: $215,200 - $245,600

Candidates hired in other locations will be subject to the pay range for that location, and the annualized salary offered will be reflected in the candidate’s offer letter.

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1d ago

Machine Learning Engineer

Roper Technologies Inc Sarasota, FL

Sarasota, FL

1d ago

Full time Ai Ml Artificial Intelligence Automation

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Job Description

What we offer

Roper Technologies presents an onsite opportunity in Sarasota, FL to design, build, and deploy production‑grade AI systems across a diverse portfolio of software businesses. You will help construct reusable infrastructure, collaborate with product, data engineering, and infrastructure teams, and shape the next generation of intelligent enterprise software.

Why join Roper

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
Shape the next generation of intelligent enterprise software

Responsibilities

Design, develop, and deploy machine learning models and AI systems in production environments
Create model inference services and data and feature pipelines
Build complex recommendation and matching services and vision based analysis systems
Establish evaluation and monitoring pipelines to ensure reliability
Optimize models for performance, reliability, and cost efficiency
Contribute to AI agents and multi‑step workflow automation
Develop systems that integrate with enterprise tools and APIs
Implement tool use frameworks, memory mechanisms, and evaluation loops
Experiment with LLMs, foundation models, and fine tuning approaches
Translate AI research advances 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 monitoring for AI systems in production
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 clearly to both technical and non‑technical stakeholders

Requirements

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

Technologies

Python
PyTorch
TensorFlow
scikit‑learn
AWS
Azure
GCP

Leveling and growth

Intermediate ML Engineer — Contributes independently to projects, builds production features, collaborates cross‑functional
Senior ML Engineer — Owns complex systems end‑to‑end, drives architectural decisions, mentors others
Principal / Staff ML Engineer — Defines technical direction, leads cross‑portfolio initiatives, 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 and bias toward execution
Ability to balance innovation with reliability

Preferred

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

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1d ago

Senior AI Engineer

Verizon Basking Ridge, NJ

Basking Ridge, NJ

1d ago

$101k - $194k/yr Full time Manager Senior Agentic Ai

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Job Description

Verizon is seeking a Senior AI Engineer to design, implement, and scale agentic AI and ML models for the Verizon Consumer Group. The role emphasizes turning architectural concepts into production-grade code with a focus on reliability, performance, and scalable systems. This hybrid position is based in Basking Ridge, New Jersey, combining remote work with in-person office days as needed.

Compensation

Salary range: USD 101,000 to 194,000 per year.

Responsibilities

Design, test, and scale agentic AI/ML solutions, including specialized workflows and LLM-powered systems for VCG platforms.
Integrate AI agent frameworks with existing customer success, digital, and retail channel technologies.
Collaborate with product managers and GTS engineering teams to implement and refine production-grade technical roadmaps.
Participate in engineering code reviews, technical design sessions, and red-teaming exercises to ensure safe and reliable model behaviors.
Optimize model inference pipelines, API endpoints, and data integration layers to meet high-performance consumer demands.
Assist in technical research and rapid prototyping to quickly evaluate and adopt emerging open-source and proprietary AI frameworks.
Contribute to documentation of technical specifications and create materials to showcase pilot performance results.

Requirements

Bachelor's degree or four or more years of work experience.
Four or more years of relevant experience required, demonstrated through work experience and/or military experience.
One or more years of hands-on experience building and tuning AI/ML models or integrating LLM applications.
Experience with software development methodologies (e.g., Agile).
Willingness to travel up to approximately 25% of the time.

Technologies

LangChain
AutoGen
GCP
AWS
Azure
ACSS
Optix
POS
CTI
WorkHub
Performance management Tools
Verint

Benefits

Medical insurance
Dental insurance
Vision insurance
Short-term disability
Long-term disability
Basic life insurance
Supplemental life insurance
AD&D insurance
Identity theft protection
Pet insurance
Group home & auto insurance
401(k) matching plan
Company-paid holidays
Personal days
Paid parental leave
Adoption assistance
Tuition assistance
Premium pay options (e.g., overtime, shift differential, holiday pay, allowances)
Vacation days

Where you'll be working

This hybrid role has a defined work location that includes working from home and at least three days per week in the office, as set by the manager. Employees are responsible for maintaining compliance with hybrid work policies.

Scheduled weekly hours

40 hours per week

Equal Employment Opportunity

Verizon is an equal opportunity employer. Qualified applicants are evaluated without regard to veteran status, disability, or other legally protected characteristics.

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2d ago

Senior Data Engineer

Sgn Global Technologies Remote 🌍 Remote

Remote

2d ago

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

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Job Description

Senior Data Engineer role at Sgn Global Technologies, a remote W2 position focused on building and maintaining SQL databases, ELT/ETL pipelines, and data processing using Python, PySpark/Polars, Azure Synapse Analytics, and Azure Machine Learning.

Responsibilities

Maintain SQL databases and perform advanced SQL and T‑SQL operations to ensure data integrity and performance.
Design, implement, and sustain ELT/ETL pipelines within cloud-based analytics environments.
Collaborate with Azure Synapse Analytics and Azure Machine Learning in the modern data stack; DP-203 certification or equivalent is preferred.
Manipulate and transform data using Python, with Pandas proficiency required.
Work with PySpark and/or Polars to process large-scale datasets as needed.

Requirements

Bachelor’s degree in Data Engineering, Computer Science, Data Science, Machine Learning, Mathematics, or a related field, or 5+ years of relevant applied work experience.
5+ years hands-on experience maintaining SQL databases and performing advanced SQL and T‑SQL operations.
5+ years hands-on experience designing, implementing, and maintaining ELT/ETL pipelines in cloud-based data analytics environments.
3+ years hands-on experience with Azure Synapse Analytics and Azure Machine Learning using the modern data stack; DP-203 (or equivalent) certification is preferred.
Data manipulation using Python with Pandas required.
Experience with PySpark and/or Polars is preferred.

Technologies

SQL
T‑SQL
Azure Synapse Analytics
Azure Machine Learning
Python
Pandas
PySpark
Polars

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Azure Machine Learning Data Jobs

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