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iMOBDEV
AI & Machine Learning

Hire ML Engineers for Production-Ready Machine Learning Systems

Our ML engineers design and ship production machine learning systems — from data pipeline and feature engineering through model training, evaluation, deployment, and drift monitoring.

⭐ 4.9/5 Clutch🏆 Top Rated✅ NDA-Ready⚡ 48hr Onboarding

ML Engineer

Python
PyTorch
scikit-learn
XGBoost / LightGBM
MLflow

About the Role

What Our ML Engineers Do for You

iMOBDEV ML engineers are systems thinkers who own the full ML lifecycle: data quality pipelines, feature stores, experiment tracking with MLflow, model training with PyTorch or scikit-learn, ONNX optimization for inference latency, model serving with FastAPI or SageMaker endpoints, and drift detection for production model health. They've built fraud detection models in fintech, demand forecasting models in retail, churn prediction for SaaS, and recommendation engines in e-commerce. They understand the difference between a model that works in a notebook and a model that reliably serves production traffic — and they build for the latter.

Top 3%Screened developers
48hrTo onboarding
1 weekNo-risk trial
100%IP belongs to you

Expertise

Skills & Technology Expertise

Every developer has been rigorously assessed on these technologies.

Core Language

1 technologies

Python

AI/ML

4 technologies

PyTorch
scikit-learn
XGBoost / LightGBM
ONNX

Tools

3 technologies

MLflow
Apache Airflow
Evidently / WhyLabs

Data

2 technologies

Apache Spark
Pandas / Polars

DevOps

2 technologies

AWS SageMaker
Docker / Kubernetes

Why Choose Our ML Engineers

Built for Your Success

End-to-End ML Pipelines

From data ingestion and feature engineering through model training, evaluation, and deployment — our ML engineers own the full lifecycle, not just the model training notebook.

MLOps & Model Serving

MLflow for experiment tracking, Docker + Kubernetes for model serving, CI/CD pipelines that retrain on schedule or data drift — production ML that stays accurate over time.

Feature Engineering Expertise

Domain-specific feature engineering: time-series lag features for forecasting, text embeddings for NLP, image augmentations for computer vision, and user behavior sequences for recommendations.

Drift Detection & Monitoring

Production models degrade silently. We implement data drift detection (Evidently, WhyLabs), prediction quality monitoring, and automated retraining triggers — so models stay accurate.

Inference Optimization

ONNX model conversion for 2–5x faster inference, quantization for edge deployment, batch prediction pipelines for offline scoring, and model distillation to reduce serving costs.

Business Metric Alignment

We optimize for business outcomes, not just accuracy metrics: revenue lift from recommendation models, cost reduction from predictive maintenance, churn reduction from early warning systems.

Engagement Models

Flexible Engagement Models

Choose the arrangement that fits your project and budget.

Part-Time

80 hrs / month

Best for: Ongoing maintenance, small features

~20 hrs/week · Flexible hours · Dedicated Slack channel

  • Weekly progress reports
  • 1 review meeting / month
  • Flexible scheduling

Contact for pricing

Get Started
⭐ Most Popular

Full-Time

160 hrs / month

Best for: Product builds, core team extension

8 hrs/day · 5 days/week · Daily standups · Sprint planning

  • Dedicated project manager
  • Sprint planning & weekly demos
  • Priority support

Contact for pricing

Get Started

Hourly

Min 10 hrs / month

Best for: Audits, consultation, rapid prototyping

Pay only what you use · Hour-by-hour tracking · Detailed timesheets

  • Flexible hour tracking
  • Detailed timesheets
  • No long-term commitment

Contact for pricing

Get Started

Hiring Process

From Requirement to Developer in 48 Hours

01
Day 0

Share Your Requirement

Fill our 2-minute requirement form. Specify your stack, timeline, team size, and budget range. We confirm receipt in 4 hours and begin matching immediately.

02
Day 1

Interview & Select

Receive 2–3 pre-screened developer profiles. Review portfolios, conduct technical interviews, and optionally assign a trial task to validate fit.

03
Day 2

Onboard & Start

Contracts signed, tools connected, developer joins your team. First standup within 48 hours of sign-off — your sprint starts immediately.

Why 200+ Companies Choose iMOBDEV Over the Rest

AI-Native Approach

We don't retrofit AI; we design for it from day one — architecture, data, and UX.

On-Time, Every Time

Agile sprints with clear milestones, transparent reporting, and zero deadline surprises.

Transparent Pricing

No hidden costs. Fixed-price or dedicated team models — you choose what fits.

Global Team, Local Focus

India-based delivery excellence with US and UAE client engagement offices.

Enterprise-Grade Security

ISO 27001-compliant, NDA-ready, GDPR-aware — secure by design at every layer.

Ongoing Partnership

We're a long-term partner, not a one-and-done vendor. We grow as you grow.

Client Stories

What Our Clients Say About Working With Us

iMOBDEV delivered our AI-powered fintech app 2 weeks ahead of schedule. The quality is exceptional — it feels like a product from a top Silicon Valley company.
S

Sarah Mitchell

CTO, PayEdge Finance

Frequently Asked Questions About Hiring ML Engineers

Recognized by the Industry

Clutch Top Software development Company
App Development Companies
ISO 27001 Certified
Top Software Developers
Top App Development companies
Top App Development

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Start Hiring ML Engineers Today

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✅ No commitment🔒 NDA on request⚡ Response in 4 hours

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