Hire Remote MLOps Engineers — Fully Managed.
MLOps specialists from India — model deployment, monitoring, and ML infrastructure. Starting at $600/week.
IN SUMMARY
F5 Hiring Solutions places full-time remote MLOps engineers from India for U.S. companies in 7–14 days, starting at $600/week. Model deployment, CI/CD for ML, monitoring, drift detection, and ML platform specialists — fully managed.
Start Hiring MLOps Engineers
Tell us your needs. We respond within 24 hours.
No commitment required. Shortlist ready in 7–14 business days.
What MLOps Engineers bring
MLOps engineers from F5's India hub operate production ML systems. Experience with MLflow, Kubeflow, DVC, AWS SageMaker, Azure ML, Vertex AI, model serving (Triton, TorchServe), CI/CD for ML, monitoring, drift detection, and ML platform engineering.
Senior (5–10 years)
Lead (10+ years)
Principal (12+ years)
How F5 Vets MLOps Engineers
Every professional passes our rigorous 6-stage vetting process. Only the top 3% make it through.
Technical Assessment
Live coding exercises and role-specific technical tests tailored to the discipline.
2–3 hour assessmentArchitecture Review
System design or domain-specific problem solving to evaluate depth of expertise.
Design challengeWork Sample Audit
Review of past work, portfolios, or case studies for quality and standards adherence.
Portfolio reviewScenario Interview
Real-world problem scenarios testing decision-making and cross-functional communication.
45-min interviewCommunication Assessment
English proficiency, clarity of explanation, and async collaboration capability.
Soft skills evalBackground Verification
Employment history, reference checks, and identity confirmation.
Full background checkPass rate
Screening stages
Average vetting time
Everything you need. Nothing you don't.
F5 handles the complexity of international hiring so you can focus on what matters — building your business.
Full-time dedicated professional
40+ hours per week, exclusively working on your projects
U.S. timezone alignment
4+ hours daily overlap with EST/PST business hours
F5-issued equipment
Company laptop, dual monitors, and all necessary software
Weekly reporting via F5 MyApp
Time tracking, task updates, and performance metrics
HR, payroll & compliance handled
We manage all employment logistics in their home country
Free replacement guarantee
If it's not a fit, we replace at no additional cost
All-inclusive pricing for mlops engineers. Covers salary, HR, compliance, equipment, and F5 management. No hidden fees.
FAQ: Hiring MLOps Engineers
Remote MLOps engineers through F5 cost $600–$1,000 per week, all-inclusive. U.S. MLOps engineers cost $180,000–$260,000 per year base.
MLflow, Kubeflow, DVC, AWS SageMaker, Azure ML, GCP Vertex AI, Triton Inference Server, TorchServe, Argo Workflows, and Terraform. F5 MLOps engineers have shipped production ML platforms.
Yes. F5 MLOps engineers build automated training, validation, and deployment pipelines using GitHub Actions, Argo Workflows, and cloud-native ML platforms. Model promotion and rollback included.
Yes. Production monitoring including latency, throughput, data drift, concept drift, and prediction drift. Tooling includes Evidently AI, WhyLabs, Arize, and custom monitoring stacks.
MLOps adds model lifecycle concerns to DevOps — data versioning, training pipelines, model registries, drift detection, and the loop between monitoring and retraining. F5 has both MLOps engineers and DevOps engineers and can scope the right fit.
Yes. F5 has engineers experienced with on-prem GPU clusters, Kubernetes GPU scheduling, vLLM and TGI for LLM serving, and hybrid cloud deployments.
F5's assessment includes a take-home problem deploying an ML model with monitoring, evaluation pipelines, and a rollback strategy. Code is reviewed by F5's senior technical team before client presentation.
Shortlisted candidates within 7–14 business days. Average first working day at 30 days. Replacements within 7–14 days at zero cost.
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