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Independent Contractor Databricks Jobs in Georgia

TriOptus LLC

Machine Learning Engineer

Atlanta, GA · On-site

$85.92 - $130/hr

* Senior MLOps Engineer (Contractor) About the Role: * Client is seeking an experienced Senior MLOps ... Proactively identify and resolve blockers, navigate processes, and independently seek out ...

TriOptus LLC

Machine Learning Engineer

Atlanta, GA · Remote

$85.92 - $130/hr

* Senior MLOps Engineer (Contractor) About the Role: * Client is seeking an experienced Senior MLOps ... Proactively identify and resolve blockers, navigate processes, and independently seek out ...

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Independent Contractor Databricks information

What are the key skills and qualifications needed to thrive as an Independent Contractor Databricks, and why are they important?

To thrive as an Independent Contractor Databricks, you need a solid background in data engineering, big data analytics, and proficiency with Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with Databricks platform, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly beneficial. Strong problem-solving, communication, and self-management skills help you deliver solutions independently and collaborate effectively with clients. These skills are essential for delivering robust data solutions, meeting client expectations, and staying competitive in a rapidly evolving data landscape.

What are some common challenges faced by Independent Contractor Databricks professionals when onboarding with new clients?

Independent Contractor Databricks professionals often encounter challenges such as adapting to diverse data environments and integrating Databricks with existing infrastructure. Each client may have unique data governance policies, security requirements, and legacy systems, requiring contractors to quickly learn and align with these standards. Additionally, contractors must efficiently communicate with both technical and non-technical stakeholders to understand project goals and deliver value within tight timelines. Building rapport with in-house teams and demonstrating expertise early on can help overcome these onboarding hurdles.

What are Independent Contractor Databricks?

Independent Contractor Databricks are professionals who work on a contract basis, rather than as full-time employees, to provide expertise using Databricks' unified analytics platform. They are typically hired by organizations to help with data engineering, machine learning, and big data analytics projects, leveraging Databricks' capabilities on Apache Spark. These contractors often bring specialized knowledge in cloud platforms, data pipelines, and advanced analytics, working independently or as part of project teams. Their flexible engagement allows companies to scale their data initiatives without committing to permanent hires.

What is the difference between Independent Contractor Databricks vs Data Engineer?

AspectIndependent Contractor DatabricksData Engineer
CredentialsOften requires Databricks certifications, SQL, Python, cloud platform knowledgeRequires similar certifications, SQL, Python, cloud skills, sometimes specific to cloud providers
Work EnvironmentFreelance, project-based, remote or on-siteFull-time, corporate or tech company, hybrid or on-site
Employer & IndustryClients across industries, consulting firms, startupsTech companies, finance, healthcare, large enterprises

While both roles require data processing skills and cloud platform knowledge, Independent Contractor Databricks typically involves project-based freelance work with a focus on Databricks platform expertise. Data Engineers often work full-time within organizations, handling broader data pipeline responsibilities. The key difference lies in employment status and work setup.

What are the most commonly searched types of Databricks jobs in Georgia? The most popular types of Databricks jobs in Georgia are:
What are popular job titles related to Independent Contractor Databricks jobs in Georgia? For Independent Contractor Databricks jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Independent Contractor Databricks jobs in Georgia look for? The top searched job categories for Independent Contractor Databricks jobs in Georgia are:
What cities in Georgia are hiring for Independent Contractor Databricks jobs? Cities in Georgia with the most Independent Contractor Databricks job openings:
Independent Contractor Databricks jobs near you
Infographic showing various Independent Contractor Databricks job openings in Georgia as of May 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 44% Full Time, 37% Part Time, 16% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
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

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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