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221 results (14 new)

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Data Scientist

Masterapp Labs

Milton, Georgia • Today

Easy Apply

Contract, Third Party

$50 - $55

Data Scientist (Python, Google Cloud Platform, Agentic AI)

Danta Technologies

Atlanta, Georgia • 22d ago

Easy Apply

Contract

$44 - $45

Data Scientist

LexisNexis

Alpharetta, Georgia • Today

Full-time

USD 95,300.00 - 158,800.00 per year

Data Scientist

Reed Elsevier Technology Services

Alpharetta, Georgia • Today

Full-time

USD 95,300.00 - 158,800.00 per year

Data Scientist

Kemper Corporation

Alpharetta, Georgia • Today

Full-time

USD 93,300.00 - 155,200.00 per year

Data Scientist I (DSAP)

Reed Elsevier Technology Services

Alpharetta, Georgia • Today

Full-time

USD 59,200.00 - 98,600.00 per year

Data Scientist

Inspire Brands

Sandy Springs, Georgia • Today

Full-time

Senior Data Scientist - Fraud

Equifax

Alpharetta, Georgia • Today

Full-time

Senior Data Scientist

Fiserv, Inc.

Milton, Georgia • 11d ago

Full-time

Data Scientist I (DSAP)

LexisNexis

Alpharetta, Georgia • Today

Full-time

USD 59,200.00 - 98,600.00 per year

Senior Data Scientist I

LexisNexis

Alpharetta, Georgia • Today

Full-time

USD 95,300.00 - 158,800.00 per year

Senior Data Scientist I

Reed Elsevier Technology Services

Alpharetta, Georgia • Today

Full-time

USD 95,300.00 - 158,800.00 per year

Lead Data Scientist

Inspire Brands

Sandy Springs, Georgia • Today

Full-time

Data Scientist

CRH

Atlanta, Georgia • Today

Full-time

Data Scientist II

Truist

Atlanta, Georgia • Today

Full-time

Sr. Data Scientist - Virtual

Comcast Corp

Remote or Atlanta, Georgia • Today

Full-time

USD 93,062.99 per year

Sr Data Scientist I (Actuarial Science)

Reed Elsevier Technology Services

Alpharetta, Georgia • Today

Full-time

USD 95,300.00 - 158,800.00 per year

Data Scientist I - Card Fraud

Truist

Atlanta, Georgia • Today

Full-time

USD 80,000.00 - 100,000.00 per year

Lead Data Scientist, AI

Floor and Decor Outlets of America, Inc.

Atlanta, Georgia • Today

Full-time

Data Scientist, Global Quantitative Research

Intercontinental Exchange, Inc

Atlanta, Georgia • Today

Full-time

Data Scientist II - Scientific AI

MIO Partners, Inc.

Atlanta, Georgia • 25d ago

Full-time

Data Scientist - National Federal Tax Services

Deloitte

Atlanta, Georgia • 27d ago

Full-time

USD 84,600.00 - 141,000.00 per year

Lead Risk Data Scientist & ML Engineer

Worldpay

Atlanta, Georgia • 6d ago

Full-time

Senior AI/ Data Scientist - Pricing Promotion

Cargill

Atlanta, Georgia • Today

Full-time

Compensation information provided in the description

Data Scientist II - QuantumBlack, AI by McKinsey

MIO Partners, Inc.

Atlanta, Georgia • 25d ago

Full-time

Data Scientist II - QuantumBlack, AI by McKinsey (Critical Industries)

MIO Partners, Inc.

Atlanta, Georgia • 25d ago

Full-time

Senior Data Scientist & Product Manager (17607)

Baer

Hybrid in Atlanta, Georgia • Yesterday

Easy Apply

Contract

Depends on Experience

US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics

Deloitte

Atlanta, Georgia • Today

Full-time

USD 102,500.00 - 188,900.00 per year

Data Scientist

Pyramid Systems, Inc.

Remote • 28d ago

Easy Apply

Part-time

150, 000 - 200,000

ML Data Scientist

Everest Technologies

Remote • Today

Easy Apply

Contract

Depends on Experience

Job Details

Skills

Machine Learning Engineer / Data Scientist

Summary

Data Scientist

Location: Alpharetta, GA (Onsite)
Interview: MS team interview/In-person

Job Summary:

We are seeking a skilled and innovative Machine Learning Engineer / Data Scientist with expertise in Google Cloud Platform (Google Cloud Platform), Databricks, Kubernetes, and Generative AI. This role involves designing and deploying scalable ML solutions, integrating cutting-edge generative models, and establishing robust monitoring systems to ensure performance and reliability in production environments.

Key Responsibilities:

Design, develop, and deploy ML models and AI solutions using Google Cloud Platform and Databricks.
Build scalable data pipelines and ML workflows using Spark, Delta Lake, and Google Cloud Platform services (BigQuery, Vertex AI, Cloud Functions).
Containerize and orchestrate ML applications using Docker and Kubernetes.
Integrate and fine-tune Generative AI models (e.g., LLMs, decoder models) for tasks such as summarization, content generation, and intelligent automation.
Experience implementing RAG pipelines using Vertex AI, Google Cloud Platform’s AI Embeddings API, and vector search capabilities in Google Cloud’s Vertex AI Matching Engine to enable scalable semantic retrieval for LLM-based applications.
Proficient in managing embedding generation and indexing workflows within Google Cloud Platform, including integration with BigQuery, Cloud Storage, and Vertex AI Feature Store to support real-time and batch retrieval for generative AI use cases.
Establish end-to-end monitoring for ML systems in Google Cloud Platform using tools like Cloud Monitoring, Vertex AI Model Monitoring, and Cloud Logging like Define and track key performance metrics such as Model accuracy, precision, recall, F1-score etc.,
Implement MLOps best practices using MLflow, Vertex AI Pipelines, and CI/CD frameworks.
Ensure compliance with data governance, privacy, and security standards.

Required Qualifications:

Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related field.
5+ years of experience in ML/AI development and deployment.
Strong programming skills in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
Hands-on experience with Google Cloud Platform services and Databricks.
Proficiency in Kubernetes and containerized ML deployment.
Experience with Generative AI frameworks (e.g., Hugging Face, LangChain, OpenAI APIs).
Familiarity with monitoring tools in Google Cloud Platform (Cloud Monitoring, Logging, Vertex AI).
Strong understanding of distributed computing and big data processing.
Experience with RESTful APIs and microservices architecture.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91091585
Position Id: 1984-37720-1785899455
Posted 9 hours ago

Fitment

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Similar Jobs

AI/ML Engineer

Hybrid in Alpharetta, Georgia

•

5d ago

Face to Face interview mandatry Hybrid RoleNeed Locals onlyKey Responsibilities Design and implement scalable AI/ML solutions using Python and Databricks, ensuring high performance and operational efficiency. Develop cloud-native AI applications on Google Cloud using Cloud Run, AlloyDB, and API Gateway. Build secure and scalable backend APIs supporting AI-driven business capabilities. Integrate Large Language Models (LLMs), including Google''s Gemini API, into enterprise applications. Imple

Easy Apply

Contract, Third Party

Depends on Experience

Data Scientist (Python, Google Cloud Platform, Agentic AI)

Atlanta, Georgia

•

22d ago

Position - Data Scientist Engineering (Cloud & Agentic AI) Location - Atlanta, GA(Onsite position) Long term position Pay rate - $45/hr on W2/Danta Technologies payroll. We cannot sponsor for this position. Looking for independent candidates. Looking for a strong individual contributor who can independently own and deliver end-to-end solutions with minimal guidance or support. Job Summary We are seeking a Data Scientist Engineering (Cloud & Agentic AI) with strong software engineering and

Easy Apply

Contract

$44 - $45

AI/ML Engineer

Atlanta, Georgia

•

Today

Job Title: AI/ML Engineer Location: Atlanta, GA Duration: Long Term Responsibilities Design, build, and deploy AI/ML models for business applications. Develop NLP and Generative AI solutions using LLMs. Build RAG pipelines and AI agents. Fine-tune and optimize machine learning models. Deploy models using Docker, Kubernetes, and cloud platforms. Create scalable REST APIs for AI services. Work with data engineers to prepare training datasets. Monitor model performance and retrain models w

Easy Apply

Contract, Third Party

$DOE

Generative AI Engineer

Atlanta, Georgia

•

Today

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. We seek a dynamic and driven individual with a strong technical foundation to serve as a Generative AI Engineer. You will leverage our data, technology, and analytics to build LLM pipelines that generate actionable insights for our business and customers. This key position involves w

Full-time

Job Details

Skills

Machine Learning Engineer / Data Scientist

Summary

Data Scientist

Location: Alpharetta, GA (Onsite)
Interview: MS team interview/In-person

Job Summary:

Key Responsibilities:

Design, develop, and deploy ML models and AI solutions using Google Cloud Platform and Databricks.
Build scalable data pipelines and ML workflows using Spark, Delta Lake, and Google Cloud Platform services (BigQuery, Vertex AI, Cloud Functions).
Containerize and orchestrate ML applications using Docker and Kubernetes.
Integrate and fine-tune Generative AI models (e.g., LLMs, decoder models) for tasks such as summarization, content generation, and intelligent automation.
Experience implementing RAG pipelines using Vertex AI, Google Cloud Platform’s AI Embeddings API, and vector search capabilities in Google Cloud’s Vertex AI Matching Engine to enable scalable semantic retrieval for LLM-based applications.
Proficient in managing embedding generation and indexing workflows within Google Cloud Platform, including integration with BigQuery, Cloud Storage, and Vertex AI Feature Store to support real-time and batch retrieval for generative AI use cases.
Establish end-to-end monitoring for ML systems in Google Cloud Platform using tools like Cloud Monitoring, Vertex AI Model Monitoring, and Cloud Logging like Define and track key performance metrics such as Model accuracy, precision, recall, F1-score etc.,
Implement MLOps best practices using MLflow, Vertex AI Pipelines, and CI/CD frameworks.
Ensure compliance with data governance, privacy, and security standards.

Required Qualifications:

Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related field.
5+ years of experience in ML/AI development and deployment.
Strong programming skills in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
Hands-on experience with Google Cloud Platform services and Databricks.
Proficiency in Kubernetes and containerized ML deployment.
Experience with Generative AI frameworks (e.g., Hugging Face, LangChain, OpenAI APIs).
Familiarity with monitoring tools in Google Cloud Platform (Cloud Monitoring, Logging, Vertex AI).
Strong understanding of distributed computing and big data processing.
Experience with RESTful APIs and microservices architecture.

Dice Id: 91091585
Position Id: 1984-37720-1785899455
Posted 9 hours ago

Fitment

Dice Job Match Score™

✨ Finding the perfect fit...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

AI/ML Engineer

Hybrid in Alpharetta, Georgia

•

5d ago

Easy Apply

Contract, Third Party

Depends on Experience

Data Scientist (Python, Google Cloud Platform, Agentic AI)

Atlanta, Georgia

•

22d ago

Easy Apply

Contract

$44 - $45

AI/ML Engineer

Atlanta, Georgia

•

Today

Easy Apply

Contract, Third Party

$DOE

Generative AI Engineer

Atlanta, Georgia

•

Today

Full-time