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Remote Aws Machine Learning Jobs in Atlanta, GA (NOW HIRING)

Scicom Infrastructure Services

Databricks SME

Atlanta, GA · Remote

$66.25 - $87/hr

AWS Certified Solutions Architect (Associate or Professional) * Azure Solutions Architect Expert * Google Professional Data Engineer * Databricks Machine Learning Professional * Snowflake or other ...

FIS

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... science and machine learning solutions within AWS environments. * Demonstrated success in ...

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... science and machine learning solutions within AWS environments. * Demonstrated success in ...

Smarsh

Lead Data Scientist

Atlanta, GA · Remote

$166K - $214K/yr

Development of machine learning models and other analytics following established workflows, while ... Familiarity with cloud computing platforms (AWS, GCS, Azure) * Experience with automated ...

Motorola

Senior DevOps Engineer (US REMOTE)

Atlanta, GA · Remote

$140K - $170K/yr

Experience designing and deploying solutions to cloud environments (AWS) * Experience with IaC ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Home Depot

Senior AI Engineer (Remote)

Atlanta, GA · On-site +1

$99K - $136K/yr

Operating at the intersection of Data Science, Machine Learning Engineering, and Software Engineering, this hands-on role translates AI concepts into enterprise-ready products. This role involves ...

Omnissa

Senior Data Scientist

Atlanta, GA · On-site +1

$146K - $304K/yr

Work with engineers to design and implement scalable machine learning pipelines, covering all ... Familiarity with cloud platforms and tools such as AWS, Azure, of Google Cloud for development and ...

Kemper

Data Scientist

Alpharetta, GA · On-site +1

Solid understanding of statistical modeling and machine learning concepts, including model training ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Worldpay

Principal Data Scientist

Atlanta, GA · On-site +1

$165K - $249K/yr

Expertisein machine learning, statistical modeling, and dataanalysis,strong experience across the ... Experience with cloud platforms (e.g., AWS,GCP,Snowflake, Databricks, Vertex AI) * Agile ...

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All JobsAws Machine Learning JobsRemote Aws Machine Learning JobsRemote Aws Machine Learning Jobs in Atlanta, GA

Remote Aws Machine Learning information

What are the key skills and qualifications needed to thrive as a remote AWS Machine Learning engineer?

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What is a remote AWS Machine Learning job?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

What is the difference between Remote Aws Machine Learning vs Remote Data Scientist?

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.
What are the most commonly searched types of Aws Machine Learning jobs in Atlanta, GA? The most popular types of Aws Machine Learning jobs in Atlanta, GA are:
What are popular job titles related to Remote Aws Machine Learning jobs in Atlanta, GA? For Remote Aws Machine Learning jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Remote Aws Machine Learning jobs in Atlanta, GA look for? The top searched job categories for Remote Aws Machine Learning jobs in Atlanta, GA are:
Remote Aws Machine Learning jobs near you

Databricks SME

Scicom Infrastructure Services

Atlanta, GA • Remote

$66.25 - $87/hr

Other

Re-posted 28 days ago

Job description

Key Responsibilities:


Architecture & Platform Design

  • Design enterprise Databricks Lakehouse architectures aligned with the Databricks Well-Architected Framework
  • Define reference architectures for batch, streaming, analytics, and ML workloads
  • Select and standardize cluster, compute, and workspace architectures
  • Design multi-workspace strategies (dev/test/prod, shared vs. isolated)
  • Ensure architectures meet scalability, availability, and performance requirements


Well-Architected Framework Alignment

Apply Databricks best practices across all pillars, including:

  • Security & Governance (Unity Catalog, IAM, data access controls)
  • Reliability & Resilience (job retries, checkpointing, failure isolation)
  • Performance Efficiency (cluster sizing, autoscaling, caching)
  • Cost Optimization (compute policies, workload separation, monitoring)
  • Operational Excellence (monitoring, automation, CI/CD, runbooks)


Implementation & Engineering

  • Lead Databricks workspace, cluster, and Unity Catalog implementations
  • Implement Delta Lake, Delta Live Tables (DLT), and Structured Streaming
  • Build and optimize ETL/ELT pipelines using Spark and SQL
  • Integrate Databricks with cloud services (S3/ADLS/GCS, IAM, Key Vault, networking)
  • Establish CI/CD pipelines for notebooks, jobs, and infrastructure


Security, Governance & Compliance

  • Implement Unity Catalog for centralized governance
  • Define data classification, lineage, and audit strategies
  • Enforce least-privilege access and secure networking patterns
  • Support compliance requirements (HIPAA, SOC 2, PCI, GDPR as applicable)


Operations & Optimization

  • Monitor platform health, performance, and cost
  • Troubleshoot production issues across jobs, clusters, and data pipelines
  • Perform workload tuning and cost-performance optimization
  • Define SLOs, alerts, and operational metrics


Collaboration & Leadership

  • Partner with Data Engineering, Analytics, ML, Platform, and Security teams
  • Translate business requirements into technical architectures
  • Provide architectural guidance and technical mentorship
  • Communicate risks, tradeoffs, and recommendations to leadership


Required Qualifications:


Experience

  • 7+ years in data engineering, analytics, or platform architecture
  • 3–5+ years hands-on Databricks experience in production environments
  • Proven experience applying the Databricks Well-Architected Framework
  • Experience designing cloud-native lakehouse architectures
  • Experience supporting mission-critical data platforms


Technical Skills

  • Databricks Lakehouse Platform
  • Apache Spark (PySpark / Scala / Spark SQL)
  • Delta Lake, Delta Live Tables, Structured Streaming
  • Unity Catalog (governance, lineage, access controls)
  • Cloud platforms: AWS, Azure, or GCP
  • Infrastructure as Code (Terraform strongly preferred)
  • CI/CD tools (GitHub Actions, Azure DevOps, GitLab, etc.)
  • Data formats and protocols (Parquet, JSON, Avro)


Certifications Required:

  • Databricks Certified Data Engineer Professional
  • Databricks Certified Professional Architect (or equivalent advanced certification) 


Preferred / Additional Certifications

  • AWS Certified Solutions Architect (Associate or Professional)
  • Azure Solutions Architect Expert
  • Google Professional Data Engineer
  • Databricks Machine Learning Professional
  • Snowflake or other cloud data platform certifications


Soft Skills

  • Strong architectural decision-making and documentation skills
  • Excellent communication with technical and non-technical stakeholders
  • Ability to lead design reviews and architecture governance forums
  • Strong troubleshooting and performance-tuning mindset


Nice-to-Have Experience

  • MLflow and MLOps architectures
  • Real-time analytics and streaming pipelines
  • Multi-region or cross-account data architectures
  • Consulting or MSP delivery experience