India · AI & ML Engineers

Hire AI & ML Engineers — Fully Managed.

Python ML engineers, LLM specialists, and data scientists from India — starting at $450/week.

Full-time dedicatedU.S. timezone alignedFree replacement guarantee

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 $450/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.

Our professionals' former employers:
GoogleAmazonMicrosoftSamsungIBMAccentureT-Mobile
Skills & Expertise

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.

PythonTensorFlow / PyTorchScikit-learnLLM Fine-tuning (OpenAI, HuggingFace)RAG / LangChainComputer Vision (OpenCV, YOLO)NLPMLflow / Weights & BiasesSpark / DatabricksSQLAWS SageMakerVector Databases

Mid-Level (3–5 years)

Senior (5–10 years)

Lead / Research (10+ years)

Quality Assurance

How F5 Vets AI & ML Engineers

Every professional passes our rigorous 6-stage vetting process. Only the top 3% make it through.

01

Technical Assessment

Live coding exercises and role-specific technical tests tailored to the discipline.

2–3 hour assessment
02

Architecture Review

System design or domain-specific problem solving to evaluate depth of expertise.

Design challenge
03

Work Sample Audit

Review of past work, portfolios, or case studies for quality and standards adherence.

Portfolio review
04

Scenario Interview

Real-world problem scenarios testing decision-making and cross-functional communication.

45-min interview
05

Communication Assessment

English proficiency, clarity of explanation, and async collaboration capability.

Soft skills eval
06

Background Verification

Employment history, reference checks, and identity confirmation.

Full background check
3%

Pass rate

6

Screening stages

7–14 business days

Average vetting time

What's Included

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

Transparent Pricing
$450–$900/week

All-inclusive pricing for ai & ml engineers. Covers salary, HR, compliance, equipment, and F5 management. No hidden fees.

Full-time (40+ hrs/week)Equipment includedManagement includedReplacement guarantee

FAQ

About 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 $450–$900 per week, all-inclusive. Senior LLM engineers and ML platform engineers command the higher end. No setup or recruiting fees.
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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Start Hiring AI & ML Engineers
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No commitment · No recruiting fee · Free replacement guarantee