Hire Offshore Machine Learning Engineers
We'll send matched Machine Learning profiles to your inbox within 24-48 hours.
Capabilities
Machine Learning Capability Snapshot
What our Machine Learning candidates can do for you.
Our ML engineers build end-to-end pipelines: data preprocessing, feature engineering, model training with scikit-learn, XGBoost, TensorFlow, and PyTorch, hyperparameter tuning, and production deployment with MLflow, SageMaker, and Vertex AI. They implement A/B testing, model monitoring, and drift detection.
Hire pre-vetted ML engineers at 60-70% lower cost, with deep expertise in practical ML systems.
Our Machine Learning experts are pre-vetted and ready to integrate into your team within days, not months.
All candidates pass rigorous technical assessments and come with a free replacement guarantee.
Get the same expertise at a fraction of the cost compared to local US/UK hiring.
Modules & Specializations
6 areas
- Supervised & Unsupervised Learning
- Deep Learning
- NLP & LLMs
- Computer Vision
- MLOps & Model Deployment
- Feature Engineering
Tools & Integrations
8 tools
- Python
- TensorFlow
- PyTorch
- scikit-learn
- MLflow
- AWS SageMaker
- Vertex AI
- Hugging Face
Certifications
3 held
- AWS Certified Machine Learning Specialty
- Google Professional Machine Learning Engineer
- TensorFlow Developer Certificate
What They Can Build
Machine Learning Use Cases
Real outcomes your offshore developers can deliver from day one.
Predictive Analytics & Forecasting
Build forecasting models for demand, revenue, churn, and inventory using historical data.
Recommendation Systems
Develop personalized recommendation engines for products, content, and user experiences.
Fraud & Anomaly Detection
Implement real-time fraud detection and anomaly monitoring for financial transactions and system behavior.
NLP & Text Analytics
Build sentiment analysis, entity extraction, and document classification systems with transformers and LLMs.
MLOps & Model Lifecycle
Set up automated training, evaluation, deployment, and monitoring pipelines for production ML systems.
Pre-Vetted Talent
Meet the Machine Learning Bench
Pre-vetted candidates ready for your interview.
We're currently building our Machine Learning bench. Submit your requirements and we'll match you within 48 hours.
Flexibility
Flexible Engagement Models
Choose the model that fits your workflow. All include managed services.
Dedicated Resource
A full-time Machine Learning expert works exclusively on your project.
- → 40 hrs/week dedicated
- → Daily standups & reporting
- → Direct Slack/Teams channel
- → Your tools & processes
Team Extension
Build a managed Machine Learning pod — developers, QA, PM.
- → 2-10 person teams
- → Tech lead included
- → Sprint-aligned delivery
- → Shared KPIs & retros
Project-Based
Defined scope, fixed timeline. We deliver end-to-end.
- → Fixed price or T&M
- → Milestone-based delivery
- → Full PM oversight
- → UAT & handoff included
Transparent Pricing
Machine Learning Rates
Save 40-70% compared to US/UK rates without compromising quality.
| Seniority | Experience | Monthly Rate (USD) |
|---|---|---|
| Junior | 0-2 yrs | $1,800 - $2,500 |
| Mid-Level | 3-5 yrs | $2,500 - $3,500 |
| Senior | 6-9 yrs | $3,500 - $5,000 |
| Lead / Architect | 10+ yrs | $5,000 - $7,000 |
Rates are indicative and may vary based on specific Machine Learning modules and certifications required. All rates include managed services, infrastructure, and HR support.
Our Process
Brief → Onboarding in 10 Days
Five steps from your first call to a running Machine Learning team.
Discovery Call
We learn your tech stack, culture, scope, and Machine Learning requirements.
Profile Matching
3-5 pre-vetted Machine Learning profiles with video intros and skill assessments.
Client Interviews
You interview candidates. Technical assessments, culture fit, communication checks.
Selection & Paperwork
NDA, MSA, IP assignment, security setup. We handle all logistics.
Onboarding & Go-Live
Equipment, VPN, tools configured. First standup scheduled. Your Machine Learning expert is live.
Discovery Call
Day 1We learn your tech stack, culture, scope, and Machine Learning requirements.
Profile Matching
Day 2-33-5 pre-vetted Machine Learning profiles with video intros and skill assessments.
Client Interviews
Day 4-5You interview candidates. Technical assessments, culture fit, communication checks.
Selection & Paperwork
Day 6-7NDA, MSA, IP assignment, security setup. We handle all logistics.
Onboarding & Go-Live
Day 8-10Equipment, VPN, tools configured. First standup scheduled. Your Machine Learning expert is live.
Machine Learning Hiring FAQ
Every Machine Learning candidate goes through our rigorous 5-stage vetting process: resume screening, technical assessment, live coding or portfolio review, communication evaluation, and reference checks. Only the top 3% make it through — so you get pre-vetted professionals ready to contribute from day one.
Yes — timezone overlap is standard, not optional. Our India team regularly works overlapping hours with US (EST/PST), UK (GMT), and Australian (AEST) business hours. You get 4-6 hours of real-time collaboration daily, with async handoffs for maximum productivity.
Security is built into every layer of our operation. All team members sign individual NDAs and IP assignment agreements. We enforce encrypted devices, VPN access, and secure development environments. SOC 2 practices, regular security audits, and GDPR compliance are standard.
We offer a no-questions-asked free replacement within the first 30 days. Beyond that, we provide rapid replacement within 48 hours from our pre-vetted bench. Our 97% retention rate means replacements are rare, but we're always prepared.
Fast. We typically share 3-5 matched Machine Learning profiles within 48 hours. After your selection, onboarding takes 3-5 business days including security setup, tool access, and team introductions. Most clients have their new team members productive within the first week.
We offer three flexible models: (1) Dedicated full-time professionals embedded in your team, (2) Part-time specialists for specific projects or ongoing needs, and (3) Project-based teams for defined deliverables. All models include a dedicated delivery manager at no extra cost.
Our all-inclusive monthly rate covers everything: salary, benefits, workspace, equipment, IT infrastructure, HR management, and a dedicated delivery manager. There are zero hidden costs — no recruitment fees, no setup charges, and no long-term lock-in contracts.
Yes — we actively prioritise certified professionals. Our Machine Learning team members hold industry-recognised certifications and participate in continuous learning programs. We can match you with specifically certified professionals if your project requires it.
Comparison
Why Offshore with Us?
Compare your hiring options for Machine Learning talent.
| Factor | US/UK Hire | Freelance |
Offshore1st
Recommended
|
|---|---|---|---|
| Monthly Cost |
$10K-18K
|
$6K-12K
|
$2K-5K
|
| Time to Hire |
4-12 weeks
|
1-4 weeks
|
5-10 days
|
| Vetting |
You do it
|
Reviews only
|
Pre-vetted & video intro
|
| Replacement |
Start over
|
Start over
|
Free in 2 weeks
|
| IP Protection |
Standard
|
Risky
|
Full NDA & assignment
|
| Time Zone |
Same zone
|
Varies
|
US/UK/AUS overlap
|
| Management |
You manage
|
You manage
|
Managed or direct
|
| Scaling |
Slow
|
Unreliable
|
Add resources in days
|
Hire Offshore Machine Learning Experts
3-5 pre-vetted profiles with video introductions — delivered in 24-48 hours.
Thank you!
We'll share matched profiles within 24-48 hours. Check your email for next steps.