Alpharetta, GA

Data Jobs in Alpharetta, GA

2 jobs found

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19d ago

Digital Senior Machine Learning Engineer

UPS Alpharetta, GA

Alpharetta, GA

19d ago

Full time Senior Ai Agent Artificial Intelligence

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Job Description

UPS is expanding its data-driven capabilities with a Digital Senior Machine Learning Engineer based in Alpharetta, GA, onsite. The role centers on designing, building, testing, and delivering production-scale ML and AI agent systems, while collaborating with cross-functional teams to uncover automation opportunities and measure impact through production-ready trials.

Responsibilities

Convert data science prototypes into production-grade ML and AI agent systems using suitably complex datasets and representations.
Evaluate and implement ML algorithms and tools to create novel systems and processes powered by ML and AI, aligned with business needs.
Design and implement end-to-end ML and AI agent workflows and analysis tools to scale the development of new models, in both batch and streaming contexts.
Develop and evolve ML models and software to enable state-of-the-art intelligent systems, following best practices across engineering and modeling lifecycles.
Build and maintain AI agent systems that autonomously or semi-autonomously perform multi-step tasks, access enterprise data and APIs, and support human-in-the-loop decisions when appropriate.
Extend existing ML libraries and frameworks with the latest Data Science and ML advances for enterprise use.
Set up, configure, and support scalable cloud components that host prediction model transactions.
Plan and execute experiments, evaluations, and success metrics for ML models and AI agents, covering performance, reliability, accuracy, and business impact.
Implement monitoring, logging, and observability for ML systems and AI agents to ensure ongoing performance and traceability.
Integrate data from authoritative internal and external sources to form the foundation of new Data Products that deliver insights supporting business outcomes.
Collaborate with Designers, Architects, Software Engineers, Data Scientists, and Data Engineers to deliver ML products and systems.

Requirements

Experience designing and building large, data-intensive solutions using distributed computing within a multi-line business environment.
Knowledge of Machine Learning and Artificial Intelligence, including Generative AI frameworks (Keras, PyTorch), libraries (scikit-learn), and cloud-AI technologies to streamline ML/AI development.
Strong experience establishing scalable, cost-effective end-to-end solution components to support batch and live streaming prediction transactions.
Proven ability to develop and productionize ML models such as classification/regression, NLP, and deep learning models into product features.
Experience designing and implementing AI agent or agent-like systems, including task orchestration, tool usage, prompt engineering, workflow automation, and integration with enterprise systems.
Experience deploying highly scalable software and model optimization to support millions of transactions or a large user base.
Track record creating products and services that follow best practices around software development lifecycle (SDLC), Agile methodologies, and cloud technologies.
Solid understanding of statistics (forecasting, time series, hypothesis testing, classification, clustering, regression) and applying it to evaluate ML models.
Advanced mathematics skills in Linear Algebra, Bayesian Statistics, Group Theory, and Probability.
Collaborative mindset with leadership and cross-functional teams; strong written and verbal communication; creative and critical thinking skills.
Bachelor’s degree (BS/BA) in a quantitative field such as mathematics, computer science, physics, economics, engineering, statistics, or an international equivalent, or equivalent job experience.

Technologies

Keras
PyTorch
scikit-learn

Employment Details

Permanent
Location: Alpharetta, GA (onsite)

Basic Qualifications

Must be a U.S. Citizen or National, or a lawful permanent resident, or authorized to work in the United States for this employer.

Other Criteria

UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.

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20d ago

Senior Data Engineer (Modern Data Platforms)

Improving-Atlanta Alpharetta, GA

Alpharetta, GA

20d ago

$150k - $175k/yr Full time Senior Azure Azure Data Factory

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Job Description

Improving is seeking a Senior Data Engineer to lead the design and delivery of modern, cloud-based data platforms for client engagements. This role blends strategic oversight with hands-on engineering, guiding delivery teams and cultivating strong client relationships across Azure, AWS, Databricks, and Microsoft Fabric.

Responsibilities

Spearhead the design and rollout of contemporary data platforms, including lakehouse architectures, data mesh deployments, and warehouse modernization initiatives.
Define data platform strategy, roadmaps, and established best practices for client environments.
Develop solutions leveraging Azure services (Fabric, Synapse, Data Factory), AWS services (S3, Glue, Redshift), and Databricks.
Guide delivery teams to build scalable, secure, and cost-efficient data pipelines and platforms.
Act as a trusted advisor to clients, translating business needs into technical designs.
Establish and enforce data governance, security, and compliance frameworks.
Direct key decisions on data modeling, ingestion patterns, storage strategies, and data processing approaches.
Promote adoption of modern engineering practices including CI/CD, DevOps, and Infrastructure as Code.
Mentor and coach engineers to foster technical growth and delivery excellence.
Contribute to pre-sales activities, solutioning, and proposal development as needed.

Requirements

Extensive experience in data engineering or adjacent roles.
Proven track record delivering enterprise-scale data platforms in cloud environments.
Deep expertise across Azure and/or AWS ecosystems.
Hands-on experience with Databricks and/or Microsoft Fabric.
Advanced skills in Python, SQL, and distributed data processing with Spark or PySpark.
Solid understanding of data modeling approaches (Kimball, Data Vault, lakehouse patterns).
Experience designing, orchestrating, and optimizing ETL/ELT processes at scale.
Knowledge of data governance, security, and regulatory considerations.
Experience leading technical teams and mentoring engineers.
Excellent communication skills for engaging both technical and business stakeholders.

Technologies

Azure, Azure Synapse, Azure Data Factory, Azure Fabric, Microsoft Fabric
S3, Glue, Redshift
Databricks
Python, SQL, Spark, PySpark

Benefits

401(k)
401(k) matching
Dental insurance
Health insurance
Health savings account
Life insurance
Paid time off
Professional development assistance
Retirement plan
Vision insurance

About the role

Improving is seeking a Senior Data Engineer to lead the design and delivery of modern, cloud-based data platforms for our clients. This role suits a hands-on leader who can operate at both strategic and technical levels, guiding delivery teams and building strong client relationships. You will shape enterprise data solutions while leveraging technologies across Azure, AWS, Databricks, and Microsoft Fabric to deliver scalable, high-performing data platforms.

Nice to have

Experience with real-time streaming technologies (Kafka, Event Hubs, Kinesis)
Familiarity with data mesh or domain-driven data approaches
Experience with AI/ML data pipelines or MLOps
Cloud certifications (Azure, AWS, Databricks)
Experience in a consulting or client-facing environment

What success looks like

You design and deliver scalable, future-proof data solutions
You earn the trust of clients as a technical advisor
You elevate the capabilities of your team through mentorship and leadership
You help drive innovation and adoption of modern data practices

Why Improving?

Influence enterprise data solutions for a diverse set of clients
Work with modern, evolving technologies across multiple cloud platforms
Grow your career through our PATH program and leadership opportunities
Be part of a collaborative team that values both technical excellence and strong relationships

Pay

Salary: USD 150,000 – 175,000 per year

Work Location

Hybrid remote in Alpharetta, GA 30009

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Data Jobs in Alpharetta, GA

Digital Senior Machine Learning Engineer

Senior Data Engineer (Modern Data Platforms)

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