Machine Learning Engineer
Full-time ML engineers in India and the Philippines, on your US hours, from $3,000/mo.
Exordiom places full-time machine learning engineers from India and the Philippines who build, deploy and monitor the models inside your product. They own data pipelines, training, evaluation, serving and drift monitoring, and work a full shift on US hours. Hiring one through Exordiom starts at $3,000 per month, with candidate profiles in 48 hours.
Get ML engineer profilesQuick facts
| Role | Machine learning engineer |
|---|---|
| SOC code | 15-1221 (closest BLS category) |
| US median pay | $140,300 a year (BLS, May 2025) |
| Exordiom starting price | $3,000 per month per full-time seat |
| Time to profiles | 48 hours |
| Time to first hire | As little as 10 days (full team in 2 to 3 weeks) |
| Talent markets | India and the Philippines |
| US-hours coverage | Full shift during your US business hours |
Role highlights
What does an ML engineer do?
Turns a business question into a model that runs reliably in production.
What skills and stack should an ML engineer have?
Python and SQL, PyTorch or scikit-learn, one cloud (AWS, GCP or Azure), MLflow or Weights & Biases, Docker, and LLM evaluation for AI features.
What seniority should I hire?
For production work, look for 3+ years building ML systems and at least one model the candidate kept running after launch. Price rises with seniority.
Where does Exordiom recruit ML engineers?
Our in-region recruiters work across India and the Philippines. Profiles arrive in 48 hours, your first hire can be live in as little as 10 days, and a full team is typically in seats in 2 to 3 weeks.
Will an offshore ML engineer work US hours?
Yes. A full shift during your US business hours, in your Slack and standups.
How much does it cost to hire an ML engineer offshore?
| Option | Cost |
|---|---|
| US ML engineer, average base salary (Built In) | $162,080 a year, about $13,500 a month before benefits and taxes |
| US median, closest BLS category (SOC 15-1221) | $140,300 a year |
| Exordiom ML engineer | From $3,000 a month, about $18.75 an hour over 160 hours |
Exordiom is a monthly subscription with no long-term commitment. Billing starts after your hire starts, and every seat includes a 10-day no-cost replacement.
Who is hiring machine learning engineers in India and the Philippines?
Companies with open ML and AI engineering roles in India and the Philippines, October 2026:
Teams that hire through Exordiom: Companies like LaunchDarkly invest in AI and data talent like this through Exordiom, and teams like Netlify and Bespoke Labs hire full-stack engineers through us.
How does hiring an ML engineer with Exordiom work?
- 1
Share your spec.
The model, your stack and the level you need.
- 2
Review profiles in 48 hours.
Every candidate has passed an AI interview built from your spec plus human rounds.
- 3
Meet and choose.
You run one final conversation and make the call.
- 4
Start on US hours.
We handle the offer, payroll, compliance and equipment, then check in through Hypercare.
Full role guide: responsibilities, skills, interview questions and India vs Philippines
Core responsibilities
- Frame product goals as ML problems with a target, a metric and a baseline
- Build and maintain feature and training pipelines
- Train, tune and evaluate models against business metrics as well as accuracy
- Deploy models as APIs or batch jobs with versioning and rollback
- Monitor drift, latency and cost, and retrain on a defined trigger
- Build evaluation sets and guardrails for LLM features
- Write clear design docs and share results with non-ML teammates
Skills that separate strong ML engineers
| Skill | What good looks like |
|---|---|
| Problem framing | Names the target, metric and a simple baseline before modeling |
| Data work | Spots leakage, label noise and train/serve skew |
| Modeling | Uses gradient-boosted trees for tabular data and a neural net only when it earns its cost |
| Evaluation | Uses time-aware splits and offline metrics that track the online KPI |
| Deployment and monitoring | Has shipped with rollback and knows what triggers a retrain |
| Communication | Writes a one-page result summary a product manager can act on |
Interview questions and how Exordiom vets
- Tell me about a model that got worse after launch. How did you notice, and what did you change?
- Offline AUC went up and the A/B test stayed flat. What would you check?
- How would you split a churn dataset with a timestamp column, and why not randomly?
- When would you choose gradient-boosted trees over a neural network for our data?
- How would you evaluate an LLM feature before it reaches customers?
- Explain a model result you shipped to a non-technical stakeholder in two sentences.
Red flags: accuracy with no baseline, no model ever deployed or monitored, and reaching for an LLM before trying a simple model.
Exordiom recruits employed engineers, never a bench. Each candidate completes an AI interview built from your spec, then human rounds that score character, acumen, grit and experience. After the start, Hypercare check-ins run at week 1, week 2 and every four weeks from week 6, with you and your hire separately.
India vs Philippines for ML engineers
India is Exordiom's main market for AI, data and engineering roles, and companies such as NVIDIA, Databricks and Sarvam AI list ML roles in Bengaluru. In the Philippines, fintechs such as Maya and Salmon are hiring ML engineers in Metro Manila. In both markets your engineer works a full shift on US hours. For an India playbook, read how to hire ML engineers from India.
FAQ
What does a machine learning engineer do?
A machine learning engineer builds and runs the models inside a product, from data pipelines and training to deployment and drift monitoring.
How much does it cost to hire an ML engineer through Exordiom?
Pricing starts at $3,000 per month for one full-time seat. Exordiom is a monthly subscription with no long-term commitment, and billing starts after your hire starts.
How fast can I hire an ML engineer with Exordiom?
You see candidate profiles within 48 hours of sharing your spec, your first hire can be live in as little as 10 days, and a full team is typically in seats in 2 to 3 weeks.
Will an offshore ML engineer work my hours?
Yes. Exordiom engineers in India and the Philippines work a full shift during your US business hours.
What if the hire is not the right fit?
Every seat includes a 10-day no-cost replacement, and Hypercare check-ins catch gaps early.
Hire a machine learning engineer on your US hours
Tell us what the model needs to do, and we send profiles within 48 hours.
Talk to an Exordiom expert