Hire Remote AI & ML Engineers — Fully Managed.
Senior AI/ML engineers from India — LLMs, computer vision, and data science talent starting at $600/week.
IN SUMMARY
F5 Hiring Solutions places full-time remote AI and machine learning engineers from India for U.S. companies in 7–14 days, starting at $600/week. Python ML, LLM fine-tuning, computer vision, and NLP specialists — fully managed.
Start Hiring AI & ML Engineers
Tell us your needs. We respond within 24 hours.
No commitment required. Shortlist ready in 7–14 business days.
What AI & ML Engineers bring
AI and ML engineers from F5's India network build production machine learning systems, fine-tune large language models, develop computer vision pipelines, and deploy scalable ML infrastructure. All candidates have 5+ years of experience in applied ML and work during U.S. business hours.
Mid-Level (3–5 years)
Senior (5–10 years)
Lead / Research (10+ years)
How F5 Vets AI & ML 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 ai & ml engineers. Covers salary, HR, compliance, equipment, and F5 management. No hidden fees.
FAQ: Hiring AI & ML Engineers
F5 AI/ML engineers cover supervised and unsupervised learning, NLP, computer vision, LLM fine-tuning and RAG architectures, recommendation systems, time-series forecasting, and ML platform engineering.
Remote AI/ML engineers through F5 cost $600–$1,050 per week, all-inclusive. Senior LLM engineers and computer vision specialists command the higher end of this range.
Yes. F5 AI engineers build LLM-powered applications using OpenAI APIs, HuggingFace Transformers, LangChain, LlamaIndex, and vector databases (Pinecone, Weaviate, Qdrant) for RAG implementations.
Yes. F5 ML engineers build production ML pipelines with MLflow for experiment tracking, model versioning, and deployment to AWS SageMaker, GCP Vertex AI, or containerized REST API services.
Yes. F5 has data scientists experienced in exploratory data analysis, A/B testing, cohort analysis, and building dashboards in Tableau, Power BI, and Streamlit to support business decisions.
Yes. F5 ML engineers integrate with Databricks, Snowflake, BigQuery, Redshift, and Spark pipelines. They write production-grade Python, follow MLOps best practices, and work within your existing data stack.
Yes. F5 has computer vision engineers experienced in object detection (YOLO, Detectron2), image segmentation, OCR, video analytics, and deploying CV models on edge devices and cloud infrastructure.
F5 AI/ML candidates complete a technical assessment covering model selection, feature engineering, evaluation metrics, and a coding challenge. Senior candidates complete a take-home system design problem. Results are shared before your interview.
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