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Ml Analyst Jobs in Decatur, GA (NOW HIRING)

HD Supply

ML/ML Ops Principal Engineer

Atlanta, GA · On-site

Experience in building ML Operation pipelines for model deployment, tracking, monitoring ... Works with key stakeholders to perform application functionality gap analyses and feasibility ...

Ag

HR AI/ML Engineer II

Atlanta, GA

As an HR AI/ML Engineer supporting the North America region at Airbus, you will be at the forefront ... Conduct exploratory data analysis to identify trends, patterns, and insights that can inform the ...

Crew Career Center

Senior ML Engineer II

Atlanta, GA

$100K - $138K/yr

... document layout analysis, Named Entity Recognition (NER), and Relationship Extraction (RE ... Strong experience with cloud platforms (AWS, Azure, GCP) and their ML services. * Proficiency in ...

Waystar

Senior ML Engineer II

Atlanta, GA · On-site

$100K - $138K/yr

... document layout analysis, Named Entity Recognition (NER), and Relationship Extraction (RE ... Strong experience with cloud platforms (AWS, Azure, GCP) and their ML services. * Proficiency in ...

Patientco

Senior ML Engineer II

Atlanta, GA

$100K - $138K/yr

... document layout analysis, Named Entity Recognition (NER), and Relationship Extraction (RE ... Strong experience with cloud platforms (AWS, Azure, GCP) and their ML services. * Proficiency in ...

TK Elevator

Sr. Analyst- BI Data

Atlanta, GA · On-site

$81K - $103K/yr

... ml-3 [&_ol]:list-decimal print:[&_ol]:my-2 [&_p]:mb-4 [&_p]:leading-relaxed print:[&_p]:mb-0 [&_p ... The Power BI Senior Analyst, FP&A will play a key role in the BI transformation inside the finance ...

General Motors

Staff ML Compiler Engineer

Atlanta, GA · On-site

... ML engineers across the AV organization to compile their models. You will design and evolve our ... Architect new compiler passes and analysis that improve build times, memory footprint, and runtime ...

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Showing results 1-20

All JobsMl Analyst JobsMl Analyst Jobs in Decatur, GA

Ml Analyst information

See Decatur, GA salary details

$30.3K

$71.5K

$126.9K

How much do ml analyst jobs pay per year?

As of Jun 28, 2026, the average yearly pay for ml analyst in Decatur, GA is $71,527.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,300.00 and $84,900.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

For an ML Analyst, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as strategic planning, ethical oversight, and specialized data interpretation. These jobs often involve understanding nuanced contexts and making decisions that AI cannot easily replicate. Continuous learning and expertise in domain-specific knowledge will remain valuable in these areas.

Is ML a high paying job?

Machine Learning (ML) analysts typically earn higher-than-average salaries due to their specialized skills in data analysis, programming, and statistical modeling. Salaries vary based on experience, location, and industry, but many ML roles offer competitive compensation, especially for those with advanced knowledge of tools like Python, R, and machine learning frameworks. Certifications and a strong portfolio can also influence earning potential.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often in large tech companies or specialized firms. These positions usually require advanced skills in machine learning, deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with leadership responsibilities and often involve significant strategic decision-making.

Can I learn ML in 3 months?

Learning machine learning as an ML analyst involves understanding core concepts, programming skills, and working with tools like Python and libraries such as scikit-learn or TensorFlow. While basic proficiency can be achieved in three months with intensive study, gaining expertise typically requires ongoing practice and real-world experience. Structured courses, projects, and certifications can help accelerate the learning process.
What are popular job titles related to Ml Analyst jobs in Decatur, GA? For Ml Analyst jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Ml Analyst jobs in Decatur, GA look for? The top searched job categories for Ml Analyst jobs in Decatur, GA are:
Ml Analyst jobs near you
Infographic showing various Ml Analyst job openings in Decatur, GA as of June 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $71,527 per year, or $34.4 per hour.

AI/ML Engineer with Google Cloud Platform

The Avian Consulting LLC

Atlanta, GA • On-site

$61.25 - $78.75/hr

Other

Posted 18 days ago

Job description

Hi,
Hope you are doing well.
Position: AI/ML Engineer with Google Cloud Platform
Location: Atlanta, GA (Hybrid)
Job Description:
Strategic & Architectural Leadership

  • Define and evolve AI & Data architecture strategy and roadmap, aligned with business priorities and IT strategy.

  • Serve as a thought leader for modern data, analytics, and AI architectures, including Generative AI and Agentic AI.

  • Identify, evaluate, and recommend emerging technologies, platforms, and architectural patterns.

  • Partner with business and digital leaders to identify and prioritize high-impact AI and analytics use cases.

  • Provide architectural guidance on ethical, responsible, and compliant AI adoption.

Solution Architecture & Platform Design

  • Lead end-to-end architecture design for complex data, analytics, and AI initiatives, ensuring scalability, performance, security, and cost efficiency.

  • Design and govern cloud-based data platforms leveraging:

    • Google Cloud Platform (BigQuery, Vertex AI, Dataflow, Dataproc, Looker)

    • AWS (S3, Glue, EMR, Redshift, SageMaker, Lambda)

    • Snowflake (data warehouse, data sharing, performance optimization)

  • Architect modern enterprise data architectures, including:

    • Data Lake, Lakehouse, Data Mesh, and Data Fabric

    • Open table/file formats such as Parquet, Iceberg, Delta Lake

    • Medallion architectures (Bronze/Silver/Gold)

  • Define data ingestion and integration patterns across structured and semi-structured sources (SAP, Oracle, Salesforce, JDE, Ariba, IoT, APIs, NoSQL).

  • Define and enforce data quality, metadata, lineage, and access control standards.

AI, ML, and Generative AI Architecture

  • Design and implement AI/ML and GenAI solution architectures from experimentation through production.

  • Architect solutions for core ML use cases such as demand forecasting, predictive maintenance, supply chain optimization, and customer analytics.

  • Lead architecture for Generative AI and Agentic AI, including:

    • LLM integration with tools, APIs, and knowledge bases (RAG patterns)

    • Autonomous and semi-autonomous agent workflows

    • Fine-tuning, prompt engineering, and optimization strategies

  • Establish MLOps and LLMOps frameworks for model training, deployment, monitoring, evaluation, and lifecycle management.

  • Define approaches for model observability, explainability (XAI), bias detection, and risk mitigation.

Technical Leadership & Collaboration

  • Provide technical leadership and mentorship to solution architects, data engineers, data scientists, and AI engineers.

  • Collaborate closely with platform, DevOps, and cloud engineering teams to enable automation-driven deployments.

  • Review solution designs, conduct architecture assessments, and provide impact analysis and recommendations.

  • Communicate complex technical concepts clearly to both technical and executive audiences.

Required Qualifications

  • Bachelor s Degree in Engineering or a related technical discipline.

  • 14+ years of hands-on experience in data architecture, analytics solutions, and/or cloud data platforms.

  • 3+ years of hands-on experience delivering AI/ML and Generative AI solutions in production.

  • 6+ years of experience designing and scaling enterprise data platforms on Google Cloud Platform, AWS, and Snowflake.

Preferred Qualifications

  • Master s degree or Ph.D. preferred.

  • Demonstrated success leading large-scale, cross-functional data and AI initiatives.

  • Cloud platforms: Google Cloud Platform and AWS (multi-cloud experience strongly preferred)

  • Data platforms: Snowflake, BigQuery, Data Lakes, Lakehouse architectures

  • Programming & analytics: Python, SQL, PySpark

  • AI/ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost

  • GenAI/LLM frameworks, vector databases, and graph databases

  • Data engineering tools: Spark, Kafka, Hadoop

  • Containerization and orchestration: Docker, Kubernetes

  • CI/CD and DevOps practices

  • Strong understanding of data modeling, performance tuning, and cost optimization

  • Strong architectural thinking and problem-solving skills

  • Excellent communication and stakeholder management capabilities

  • Ability to influence without authority and operate effectively in matrixed organizations

  • Self-driven, organized, and able to manage multiple priorities

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