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Machine Learning Ai Engineer Data Scientist Jobs

Tror AI for everyone

Data Scientist

Atlanta, GA · On-site

Senior Data Scientist Job Location: Atlanta, GA (Onsite) Job Type: Contract Note: Notes: Need ... Machine Learning & AI Engineering: * Possess strong experience developing, evaluating, and ...

Future Secure AI

AI Engineer, Data Science

Austin, TX · On-site

$113K - $136K/yr

You will design, build, and deploy sophisticated machine learning systems-particularly LLM-driven ... Data Scientist with hands-on experience and a track record of delivering impactful ML and AI ...

1 point system

AI Engineer - Machine Learning 3

Redmond, WA · Remote

$117K - $140K/yr

Requirement - AI Engineer - Machine Learning 3 Location- Redmond, WA 98052-Remote Contract W2 Title ... Machine Learning Data Scientist - Research Translation & Prototypin Top 3 Must-Have HARD Skills ...

Azumo

Data Scientist, Applied AI - Remote

Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to ... Our talented AI developers are trusted to deliver Top AI Development services in Generative AI ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

... machine learning. This role requires programming and statistical techniques to solve complex ... As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · Hybrid

... machine learning. This role requires programming and statistical techniques to solve complex ... As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ...

Rule14

Data Scientist Machine Learning

Santa Monica, CA · On-site

$75K - $100K/yr

Perform feature engineering to enhance model performance * Select appropriate algorithms based on ... Critical thinking and effective communication abilities Company Description Rule14 is an AI company ...

Hp

AI Data Scientist - Enterprise AI

Spring, TX · On-site

$130K - $205K/yr

AI Data Scientist - Enterprise AI Description - Enterprise Operations Applied AI Organization ... This role sits at the intersection of applied research, machine learning engineering, data science ...

Heluna Health

$9.8K - $13K/mo

Data Engineering & Workflow Optimization - Collaborate with engineering teams to ensure the ... Machine Learning & AI Implementation - Design, train, and optimize machine learning models for ...

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Machine Learning Ai Engineer Data Scientist information

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How much do machine learning ai engineer data scientist jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning ai engineer data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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Data Scientist

Atlanta, GA • On-site

Tror AI for everyone
See more jobs at Tror AI for everyoneexternal

Contractor

Re-posted 18 days ago

Job description

Job Role: Senior Data Scientist

Job Location: Atlanta, GA (Onsite)

Job Type: Contract

Note: Notes: Need someone who has experience with Python programming, NumPy or Pandas and along with Agentic Ai development on Cloudera or Deatricks.

Job Description: 
We are looking for candidates with strong Python-based data science and machine learning experience, combined with hands-on exposure to modern AI/LLM frameworks and agentic AI development on Cloudera / Databricks.

In this role, you will:
• Join Technology team to develop analytical frameworks and reliable measurement strategies for various products, services, and capabilities.
• Design, execute, and analyze complex business and user experiments
• Partner with Product partners and other Data Engineers to set the vision and develop experimentation specifically focused on Profiling Engine, Advanced Segmentation Engine and Advanced Targeting.
• Communicate key insights from analyses, experiments, and data products to stakeholders.

All About you:

  • Core Data Science & Analytics Demonstrate strong expertise in data exploration, feature engineering, statistical modeling, and predictive analytics, with the ability to operationalize models in production environments.
  • Have deep proficiency in Python (preferred) and/or R, with experience using modern data science libraries such as NumPy, Pandas, Scikit-learn, and PyTorch or TensorFlow.
  • Be highly proficient in SQL and experienced in working with large-scale data warehouses and data pipelines.


Machine Learning & AI Engineering:

  • Possess strong experience developing, evaluating, and deploying machine learning and deep learning models across the model lifecycle.
  • Experience building and deploying models using modern ML and MLOps practices, including experiment tracking, model versioning, CI/CD for ML, and monitoring.
  • Familiarity with cloud-based ML platforms (AWS preferred) and distributed data processing frameworks (e.g., Spark).


Generative AI & Agentic Systems:

  • Hands-on experience with Large Language Models (LLMs) and Generative AI frameworks, including prompt engineering, retrieval-augmented generation (RAG), and model orchestration.
  • Experience building AI agents or agentic workflows capable of reasoning, tool use, multi-step task execution, and autonomous decision-making.
  • Familiarity with LLM application frameworks (e.g., LangChain, LlamaIndex, or similar orchestration frameworks).
  • Experience with vector databases, embeddings, and semantic search for building knowledge-driven AI systems.


Agentic Coding & AI-Assisted Development:

  • Strong understanding of AI-assisted software development workflows, including agent-based coding, code generation, automated debugging, and evaluation loops.
  • Experience integrating LLMs with APIs, internal tools, and data systems to build production-grade AI copilots or autonomous workflows.


Business Impact & Communication:

  • Ability to translate complex technical concepts into clear business insights, communicating effectively with both technical and non-technical stakeholders.
  • Strong analytical thinking with the ability to work with ambiguous or incomplete data, develop creative analytical approaches, and connect results to business outcomes.


Domain & Collaboration:

  • Experience applying data science in digital marketing, customer analytics, or growth analytics is highly desirable but not mandatory.
  • Comfortable collaborating with engineering, product, and business teams to build scalable data products and AI-driven solutions.
 

Nagendra

US IT Recruiter | TROR LLC

Ph: 615-857-6282 | Email: nregella@tror.ai

LinkedIn: https://www.linkedin.com/in/nagendra-nag-1b7665b8/

Website: https://tror.ai

Address: 401 Ronan Way, Spring Hill, TN 37174