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Contract Machine Learning Startup Jobs in Georgia

TriOptus LLC

Machine Learning Engineer

Atlanta, GA · On-site

$85.92 - $130/hr

This contract position has potential to transition into a full-time role in the future based on performance and business needs. Key Responsibilities: Feature Development and Delivery: * Design ...

StackandCo

$48.75 - $62.25/hr

An interest in Machine Learning nice to have \n * Experience working in a startup would be an advantage \n * Experienced writing complex queries \n * An ambition to lead engineers would be nice to ...

CRH

Source to Contract Analyst

Atlanta, GA

$66K - $80K/yr

This role also supports contract management best practices and is responsible for managing sourcing ... Experience leveraging artificial intelligence (AI) or machine learning-enabled tools to optimize ...

CRH

Source to Contract Analyst

Atlanta, GA · On-site

$67K - $81K/yr

Source to Contract Analyst CRH Americas Corporate Atlanta, Georgia, United States Job ID: 525171 ... Experience leveraging artificial intelligence (AI) or machine learning-enabled tools to optimize ...

Adidev Technologies Inc

ML/AI Engineer

Alpharetta, GA · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects ...

Adidev Technologies Inc

ML/AI Engineers

Atlanta, GA · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects ...

Adidev Technologies Inc

ML/AI Engineer

Alpharetta, GA · On-site

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects ...

Adidev Technologies Inc

ML/AI Engineers

Atlanta, GA · On-site

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects ...

Tror AI for everyone

Data Scientist

Atlanta, GA · On-site

Contract Note: Notes: Need someone who has experience with Python programming, NumPy or Pandas and ... We are looking for candidates with strong Python-based data science and machine learning experience ...

Hirekeyz Inc

Lead Engineer- Cloud Product

Alpharetta, GA · On-site

$100K - $131K/yr

Contract/W-2/Full Time * 5+ years of experience in cloud architecture (AWS / GCP / Azure) , with 4+ ... AWS Certified Machine Learning - Specialty, Google Cloud Professional ML Engineer, or security ...

iNovex Information Systems

Data Scientist 2

Augusta, GA · On-site

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne ... Join us on this journey as we execute this mission-critical contract providing high-end analytics ...

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All JobsContract Machine Learning Startup JobsContract Machine Learning Startup Jobs in Georgia

Contract Machine Learning Startup information

What are some common challenges faced by machine learning professionals working on a contract basis at startups?

Machine learning professionals working as contractors at startups often face challenges such as rapidly changing project scopes, limited access to large datasets, and the need to quickly adapt to new tools and frameworks. Startups typically move fast, so contractors must be comfortable with ambiguity and prioritize delivering value in short timeframes. Additionally, they may need to collaborate closely with cross-functional teams, such as product managers and engineers, to ensure that machine learning solutions align with business goals.

What is the difference between Contract Machine Learning Startup vs Data Scientist?

AspectContract Machine Learning StartupData Scientist
CredentialsRelevant degrees, certifications in ML/AITypically similar credentials, often with advanced degrees
Work EnvironmentProject-based, startup setting, flexible hoursOffice or remote, corporate or research settings
Employer & IndustryStartups in tech, AI, or data-driven sectorsVaried industries including tech, finance, healthcare
Search & Comparison IntentUnderstanding contract roles in ML startupsExploring data science career options

Contract Machine Learning Startup roles focus on short-term, project-based work within startup environments, often requiring specialized skills in ML and AI. Data Scientists typically work in more established companies or research settings, with similar credentials but often in a full-time capacity. Both roles demand strong technical backgrounds, but contract roles offer flexibility and varied projects, while Data Scientists may have more stability and broader responsibilities.

What are the key skills and qualifications needed to thrive in a Contract Machine Learning Startup role, and why are they important?

Success in a Contract Machine Learning Startup role generally requires expertise in machine learning algorithms, data analysis, and a solid background in computer science or related fields. Familiarity with programming languages such as Python or R, experience with ML frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms (e.g., AWS, GCP) are typically expected. Strong problem-solving, adaptability, and effective communication help professionals collaborate with clients and respond to rapidly changing project requirements. These skills and qualities are vital to deliver innovative, scalable solutions in fast-paced, outcome-driven startup environments.

What is a Contract Machine Learning Startup?

A Contract Machine Learning Startup is a company or team that provides machine learning solutions and services to clients on a contract basis. Instead of developing their own products, these startups typically work with other businesses to build custom machine learning models, analyze data, and help integrate AI technologies into existing workflows. They may offer expertise in areas such as natural language processing, computer vision, or predictive analytics, and usually operate on short-term or project-based contracts. This approach allows client companies to access specialized knowledge without hiring full-time data scientists or engineers.
What are the most commonly searched types of Machine Learning Startup jobs in Georgia? The most popular types of Machine Learning Startup jobs in Georgia are:
What are popular job titles related to Contract Machine Learning Startup jobs in Georgia? For Contract Machine Learning Startup jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Startup jobs in Georgia look for? The top searched job categories for Contract Machine Learning Startup jobs in Georgia are:
What cities in Georgia are hiring for Contract Machine Learning Startup jobs? Cities in Georgia with the most Contract Machine Learning Startup job openings:
Contract Machine Learning Startup jobs near you
Machine Learning Engineer

Machine Learning Engineer

TriOptus LLC

Atlanta, GA • On-site

$85.92 - $130/hr

Full-time, Contractor

This job post has expired today. Applications are no longer accepted.

Job description

  • Senior MLOps Engineer (Contractor)
About the Role:
  • Client is seeking an experienced Senior MLOps Engineer to join client's Data Science Enablement (MLOps) team as a contractor.
  • Candidates will be the primary MLOps expert for a product area, working as part of a cross-functional agile team and owning the successful launches and ongoing operations of high-profile products in production.
  • Candidate's focus will be on driving new feature delivery, maintaining operational excellence, and collaborating on enhancements to client's shared ML platform.
  • Candidates will work closely with cross-functional collaborators-including ML researchers, product managers, and platform engineers-to deliver scalable, reliable, and low-latency ML solutions.
  • This contract position has potential to transition into a full-time role in the future based on performance and business needs.
Key Responsibilities:
Feature Development and Delivery:
  • Design, implement, and deploy new features and enhancements to ML products, collaborating with Product and ML Research teams to refine requirements.
Technical Ownership and Stewardship:
  • Technical ownership of existing and new production ML products in your area, ensuring alignment of technical investments with business goals (in collaboration with a product owner) and engineering best practices.
  • End-to-end technical stewardship of ML products, ensuring ongoing reliability and performance.
Contribute to ML platform:
  • Contribute to the evolution of the shared ML platform alongside other MLOps engineers to drive best practices and shared tooling across all products.
Operational Excellence:
  • Maintain and improve automated CI/CD pipelines, testing frameworks, and monitoring/logging, ensuring high operational standards.
  • Conduct comprehensive code reviews to enforce coding standards, improve code quality, and share knowledge.
Continuous Improvement:
  • Identify and implement opportunities for process, tooling, and system improvements, proactively addressing technical debt and scaling challenges.
Release Management:
  • Oversee pre-release testing, coordinate releases, and ensure smooth enablement of new features.
Leadership:
  • Provide technical guidance and support to other engineers and data scientists to solve complex technical challenges.
  • Mentor and coach other engineers, supporting their professional growth.
  • Foster a culture of collaboration, continuous improvement, and knowledge sharing.
Act Like an Owner:
  • Proactively identify and resolve blockers, navigate processes, and independently seek out information and connect with relevant teams to drive solutions in the face of ambiguity.
  • Operate with a strong sense of urgency, consistently prioritizing and executing tasks to meet timelines and deliver results.
Experience and Skills - Required:
  • 5 plus years as an ML Engineer, MLOps Engineer, or similar, with hands-on production experience
  • Proven expertise with ML model deployment, API design, and integration into production environments
  • Strong Python programming and relevant ML/data libraries
  • Experience with containerization, orchestration, and AWS cloud services
  • Building and operating CI/CD pipelines (Jenkins preferred)
  • Experience designing and configuring low-latency databases to serve real-time features, such as DynamoDB
  • Monitoring, troubleshooting, and optimizing production ML systems
  • Pre-release testing and release management
  • Demonstrated ability to work independently, navigate ambiguity, and deliver results
  • Excellent communication skills and ability to collaborate in cross-functional teams
Experience and Skills - Preferred:
  • Experience with MLFlow, model versioning, and storage
  • Exposure to GenAI/NLP, AutoML, model explainability
  • Familiarity with Databricks or similar platforms
  • Experience supporting high-volume, real-time data products
  • Automated testing and validation frameworks
Why Join Client?
  • Impact: Play a key role as the technical owner of high-profile ML products delivering meaningful business impact to merchants and advancing key pillars of the company's strategy.
  • Candidate's work will directly influence the reliability, scalability, and evolution of critical production systems.
  • Autonomy: Take end-to-end technical ownership of candidate's product area, with the freedom and responsibility to drive technical solutions, shape best practices, and deliver results in a fast-paced, supportive environment.
  • Collaboration: Join a cross-functional, high-performing team where candidate's expertise is valued and candidate's contributions make a real difference.
Note:
  • Team: Data Science Enablement (MLOps)
  • Rate card: $85.92 - $130.00 hourly.
  • Any candidate submitted with a bill rate over $130 will be rejected.
  • Work schedule and time zone: Eastern Time 8.00 am to 5.00 pm
  • Overtime Eligible(Y/N): N
  • Workstoppage Eligible (Y/N): HM looking into this
  • Remote (Y/N): Y
  • Potential to convert and/or extend: Yes.
  • If convert, need to be located in Cincinnati OH, Atlanta GA, or Alpharetta GA (3-day onsite requirement)

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