Custom ML Models
End-to-end model development from proof-of-concept to production, tailored for Delhi’s government PSUs, consulting firms, and e-commerce platforms.
Direct access, no account layer
Hire a Machine Learning Engineer in Delhi: custom ML models & production MLOps
I build and deploy production machine learning systems for Delhi and NCR businesses, and for clients internationally. You work with the engineer who writes the code, from discovery to deployment, not an account manager.
Experience5+ years building ML
Delivered12+ case studies
Turnaround48h written spec
In-person meetings in Aerocity or Connaught Place, video calls worldwide, NDA before any data.
ML Model: Feature Attribution
Inference: Approved (87%)
Top Contributing Features
Weighted Impact
Transaction Frequency
+24%
Account Age (4.2 yrs)
+18%
Spend Consistency Score
+10%
Location Anomaly: Delhi
-5%
Top Driver for Approval:
Pass
Reliable transaction patterns and account tenure pushed trust score to 87%
97%
Recall on Train
SHAP
Explainability
210ms
Inference Latency
Model v2.1.0 • Serving Aerocity, IN-DL
Audit log: feature attribution stored
Local presence, global standardAvailable for in-person collaboration, delivering projects built to international engineering standards.
Direct access, no account layerYou work with the engineer who writes the code, from discovery to deployment, with no account manager in between.
Data security firstAn NDA is signed before any project data is shared, so confidentiality and security are protected from the start.
Verifiable case studies12+ documented case studies with measurable outcomes, available to review before you hire.
Why direct access
What you get working with me
Proven ML solutions
Delhi-based and available for meetings in Aerocity and Connaught Place, delivering tailored machine learning solutions to government PSUs, consulting firms, media and e-commerce companies across Delhi.
Direct engineer access
Collaborate directly with a seasoned Machine Learning Engineer from discovery to deployment, with clear, unbroken communication.
Data security assurance
An NDA is signed before any project data is shared, ensuring enterprise-grade confidentiality and security for government and commercial data.
Proven track record
Review case studies with measurable outcomes from government, consulting, media and e-commerce projects, demonstrating real ML delivery in Delhi.
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Plain answer
What does a Machine Learning Engineer in Delhi actually do?
Quick answer
A Machine Learning Engineer in Delhi designs and deploys custom ML models, NLP solutions, and computer vision systems for government PSUs, consulting firms, media and e-commerce companies, then integrates them into existing workflows.
The work spans the full lifecycle: framing business problems with stakeholders, preparing and validating data from diverse sources, selecting and training appropriate models, deploying reliably with MLOps, and monitoring performance in production to maintain accuracy as data evolves.
What I offer
Machine learning services in Delhi
A full range of machine learning development, delivered by the person who actually builds your system, not routed through an account manager.
MLOps Development
Automated pipelines, model versioning, and monitoring for reliable deployment in Delhi’s fast-paced media and consulting environments.
Deep Learning Solutions
Advanced computer vision and NLP for media content analysis, government surveillance, and e-commerce image search in Delhi.
Recommendation Systems
Personalised engines for e-commerce and media platforms in Delhi, driving higher engagement and conversion.
Predictive Maintenance
Failure-prediction models for Delhi’s government infrastructure, PSU equipment, and industrial automation to reduce downtime.
ML Consulting Services
Feasibility assessments and architecture reviews for Delhi businesses adopting machine learning across government, consulting, and e-commerce.
Tooling
Technologies used in machine learning development
Advanced ML frameworks, MLOps tools, and cloud platforms, selected per project to build high-performance models that deliver accurate predictions and real business value.
PyTorch
TensorFlow
Scikit-learn
XGBoost
LightGBM
Hugging Face
ONNX
OpenCV
MLflow
FastAPI
Docker
Kubernetes
Weights & Biases
Triton Inference Server
BentoML
Airflow
Pandas
Polars
Qdrant
Pinecone
Milvus
PostgreSQL / pgvector
DVC
Dask
AWS SageMaker
GCP Vertex AI
Azure ML
CoreWeave
CUDA / TensorRT
Modal
Ray
Linux
The honest comparison
Independent ML Engineer vs an ML company in Delhi
Delhi has excellent established ML companies. For a focused project, working directly with an experienced independent engineer is faster to start and more cost-effective, with no meaningful drop in quality.
| Factor | Independent ML Engineer (me, directly) | ML company in Delhi |
|---|---|---|
| Point of contact | ✓ Direct access to the engineer building your model | Account manager or project lead as intermediary |
| Cost efficiency | ✓ 30-40% lower overhead with no agency markup | Higher billing rates to cover sales and management layers |
| Communication lag | ✓ Real-time Slack/WhatsApp responses during Delhi hours | Delayed replies due to internal handoffs |
| Turnaround speed | ✓ Iterative sprints with same-day feedback cycles | Longer timelines due to resource allocation queues |
| Accountability | ✓ Single point of ownership — my reputation on the line | Diffused responsibility across team members |
| Flexibility | ✓ Scope changes accommodated mid-project without renegotiation | Change orders and contract amendments required |
Local context
The Delhi machine learning and technology ecosystem
Delhi has a vibrant and rapidly growing machine learning ecosystem, driven by government PSUs, top consulting firms, major media houses, and a booming e-commerce sector. The city is a national hub for AI policy, research, and commercial deployment.
Key institutions like IIT Delhi, JNU, and IIIT Delhi, along with innovation clusters around Aerocity and Connaught Place, provide strong talent and collaboration opportunities. Delhi’s proximity to government decision-makers and media headquarters makes it ideal for applied ML projects.
That combination of institutional strength, industry diversity, and local expertise gives Delhi businesses a solid foundation for adopting machine learning with confidence.
Delhi Innovation Network
Local Collaboration & Hubs
Regular participation in Delhi AI meetups, government hackathons, and consulting roundtables across Aerocity and Connaught Place.
- IIT Delhi & IIIT Delhi ecosystem ties
- In-person meetings in Aerocity & Connaught Place
- Serving government PSUs, media & e-commerce teams
How it gets built
How I deliver a machine learning project
Clear milestones with regular updates, not a single opaque delivery at the end of the project.
PHASE 01days 1 to 2 · free callDiscovery
+
A free discovery call, in person for Delhi clients or over video, to understand your business problem, data and goals. You receive a written technical spec before any work begins.
PHASE 02within 48hScope and technical spec
+
Confirmation of the right approach, a custom model, a consulting engagement or a scoped MVP, with a clear timeline and cost, typically within 48 hours of the discovery call.
PHASE 03day 3NDA and onboarding
+
An NDA is signed before any project details or data are shared. Onboarding into your existing tools follows immediately, on whatever stack your team already runs.
PHASE 04milestonesBuild, test and deploy
+
Development proceeds in clear milestones with regular updates, so you see progress the whole way through, rather than a single delivery at the very end.
PHASE 05post-launchPost-delivery support
+
A support window is included after delivery, with the option of an ongoing retainer for Delhi businesses that have a continuing project roadmap.
Proof
Machine learning projects delivered, with real numbers
Documented case studies with measurable outcomes, available to review before you hire, not just a generic portfolio.
NLP
NLP for customer feedback
An NLP pipeline that categorises open-text feedback into 14 business-relevant themes automatically, cutting manual triage from hours to seconds.
92%Accuracy
Read case study
Computer Vision
Image classification for QA
A computer vision model that classifies images into categories for automated quality inspection on the line, flagging anomalies in sub-second inference time.
95%Accuracy
Read case study
Predictive Modeling
Demand forecasting for retail
A predictive model that forecasts demand for retail products, so stock and staffing match what is actually coming, cutting excess holding cost by 18%.
90%Forecast accuracy
Read case study
Why me
Why Delhi businesses choose to work with me
Local presence, global standard
Based in Delhi and available for local meetings at Aerocity or Connaught Place, delivering machine learning systems built to the same standard international clients receive.
Direct access, no account layer
You work with the same person from discovery call to deployment, with no account manager or rotating team member in between.
Transparent, fixed pricing
Clear, upfront pricing for machine learning development and consulting, with no hidden markup layered on top of the engineering cost.
Real, verifiable case studies
12+ documented case studies with measurable outcomes, available to review before you hire, not just a portfolio deck.
Fast turnaround
A written technical spec within 48 hours of your discovery call, and most engagements starting within a week.
Cost-effective without compromise
Meaningfully lower cost than large agencies or overseas developers, with no drop in engineering quality or communication.
Case Studies
HR TECH
Inclusive Hiring
AI Agent for Job Postings
Automatically generate optimized, inclusive, and role-specific job descriptions using AI agents to streamline recruitment.
FINTECH
98% Accuracy Rate
AI Credit Report Error Detection
Automated identification of credit report discrepancies using NLP validation rules, reducing manual audit cycles by 70%.
HR TECH
80% Faster Screening
AI Resume Screening for Recruiters
AI Resume Screening for Recruiters
BI TECH
Instant Insights
Data Analytics Chatbot
Instantly analyze business data and generate actionable insights through conversational AI, making data accessible to everyone.
Client words
What clients say about working directly with me
Verified feedback from businesses that hired me for focused machine learning work.
"We had a complex business workflow and wanted to introduce AI without making the product harder to use. The development focused on the areas where automation could provide real value, and the final solution fit naturally into our existing platform."
"Our team was spending significant time reviewing and categorizing information manually. The AI workflow automated the repetitive work and gave our employees faster access to useful insights while keeping important decisions under human control."
"The project required an AI component that could connect with our existing APIs and handle increasing amounts of data. The implementation was designed with scalability and maintainability in mind, giving our engineering team a strong foundation for future improvements."
Insights
Reading before you hire an ML engineer
Practical guides on cost, vetting and where machine learning pays off, from the same person who does the work.
Cost
Machine learning consultant cost in 2026, by project type
What a proof-of-concept, a production build and an ongoing retainer actually cost, and what drives each number.
ML consultant cost
Vetting
12 machine learning interview questions to ask before you hire
The questions that separate an engineer who ships production systems from someone who has only trained toy models.
ML interview questions
Strategy
How ML consulting turns data into smarter business decisions
Where machine learning creates real decision value, and how to tell that apart from a model built for its own sake.
ML for business decisionsFAQ
Frequently asked questions
Common questions from Delhi businesses researching Machine Learning Engineers and consultants.
What does a Machine Learning Engineer in Delhi actually do?
A Machine Learning Engineer in Delhi designs, develops and deploys custom ML models, natural language processing applications and computer vision systems for businesses. This includes data preparation, model selection, training, testing, deployment and integration with your existing tools.
Should I hire an independent engineer or an ML company in Delhi?
It depends on scope. For a large, multi-specialist product build, an established company is a good fit. For a focused machine learning project, an independent engineer is usually faster to start and more cost-effective, with no meaningful drop in engineering quality.
How much does it cost to hire an ML Engineer in Delhi?
Cost varies with scope and complexity. A scoped proof-of-concept typically runs from 1,000 to 5,000 US dollars, and most focused engagements fall between 500 and 25,000 US dollars. Pricing is fixed and upfront, with no hidden agency markup.
Can I meet in person if I am based in Delhi?
Yes. As an independent engineer based in Delhi, in-person meetings are available for local clients at Aerocity or Connaught Place, from the first discovery call through to deployment.
What machine learning services are most in demand in Delhi?
The most requested services are natural language processing for government and PSU data, computer vision for media content analysis, predictive modelling for e-commerce and consulting, demand forecasting, recommendation systems and MLOps for reliable deployment and monitoring.
Do you work with international clients as well as local Delhi businesses?
Yes. The work serves both local Delhi and national clients as well as international clients, with overlapping hours for India and availability across time zones for calls.
How long does a machine learning project take?
Timelines depend on scope. You receive a written technical spec within 48 hours of the discovery call, a clear milestone plan and regular updates, so you see progress the whole way through rather than a single delivery at the end.
Do you sign an NDA before starting a project?
Yes. An NDA is signed before any project details or data are shared, so the confidentiality and security of your business information are protected from the start.
