Custom ML Models
End-to-end model development: from a scoped proof-of-concept to a fully deployed, production-grade model integrated with your existing business tools.
Direct access, no account layer
Hire a Machine Learning Engineer in Gurgaon: custom ML models & production MLOps
I build and deploy production machine learning systems for Gurgaon and Haryana businesses—especially IT/BPO, management consulting, and automotive HQs—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 at DLF Cyber City, Gurgaon, video calls worldwide, NDA before any data.
ML Monitoring – Drift Detection
Auto-Retrain On
✓ Stable Dist.
⚠ Drift Alert
✓ High Conf.
1 Alert
Active Drifts
96.8%
F1 Score
14.2 ms
Inference Latency
0.07
Drift Score
Model: XGBoost v2.4 · Serving Gurgaon, IN-HR
DLF Cyber City cluster
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
Gurgaon-based and available for local meetings at DLF Cyber City, delivering tailored machine learning solutions to IT/BPO, management consulting, and automotive HQs across Haryana.
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, so the confidentiality and security of your business information are protected.
Proven track record
Review 12+ verifiable case studies with measurable outcomes that demonstrate real machine learning delivery, not a generic portfolio.
Plain answer
What does a Machine Learning Engineer in Gurgaon actually do?
Quick answer
A Machine Learning Engineer in Gurgaon designs, develops and deploys custom ML models, natural language processing applications and computer vision systems for businesses—especially those in IT/BPO, management consulting, and automotive HQs around DLF Cyber City—then integrates them into the tools your team already uses.
The work spans the full lifecycle: framing the problem, preparing and validating data, selecting and training the right model, deploying it reliably, and monitoring it in production so accuracy holds as your data shifts. If you are still deciding whether machine learning fits at all, that assessment is part of the work too.
What I offer
Machine learning services in Gurgaon
A full range of machine learning development, delivered by the person who actually builds your system, not routed through an account manager.
MLOps Development
Machine learning pipeline automation, model deployment, versioning and monitoring, so your models stay reliable and observable in production.
Deep Learning Solutions
Advanced deep learning for image classification, object detection and other computer vision tasks where accuracy on real-world data matters.
Recommendation Systems
Personalised recommendation engines for e-commerce, content streaming and other recommendation-heavy products that need higher engagement.
Predictive Maintenance
Failure-prediction models for manufacturing, industrial automation and equipment-heavy operations, to cut unplanned downtime and service cost.
ML Consulting Services
Feasibility assessments, architecture reviews and vendor evaluation for Gurgaon businesses deciding whether and how to adopt machine learning.
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 Gurgaon
Gurgaon has genuinely excellent established companies. For a large, multi-specialist product build, that scale helps. For a focused machine learning project, working directly with an experienced independent engineer is usually faster to start and more cost-effective, with no meaningful drop in quality.
| Factor | Independent ML Engineer (me, directly) | ML company in Gurgaon |
|---|---|---|
| Point of contact | ✓ You speak directly with the engineer building your solution. | Interactions are routed through an account manager or project lead. |
| Cost efficiency | ✓ No overhead from sales, recruitment or office space. | Higher billable rates due to sales, marketing and management layers. |
| Communication lag | ✓ Zero layers between you and the decision-maker on your project. | Multiple handoffs and follow-ups can slow down critical decisions. |
| Turnaround speed | ✓ Projects can start within days, with rapid iteration cycles. | Onboarding and internal processes can delay the first sprint. |
| Accountability | ✓ The same person is responsible for quality, delivery and support. | Accountability is distributed across a team, making resolution slower. |
| Flexibility | ✓ Scope changes are handled without renegotiating contracts or budgets. | Changes often require new agreements and additional approvals. |
Local context
The Gurgaon machine learning and technology ecosystem
Gurgaon has a rapidly growing machine learning and technology ecosystem, anchored by the DLF Cyber City business district and its dense concentration of IT/BPO firms, consulting majors and automotive headquarters. The city is at the centre of Gurgaon-NCR's expansion in artificial intelligence, data analytics and enterprise software.
Institutions such as IIT Gurgaon, IIFT and the nearby engineering and management colleges in Haryana and the broader NCR region provide a strong pipeline of talent and research. Proximity to the National Capital and Gurgaon's innovation infrastructure gives Gurgaon businesses deep access to venture capital, corporate R&D and a diverse technology community.
That combination of enterprise demand, academic collaboration and connectivity to one of India's largest business ecosystems gives Gurgaon organisations a powerful advantage when adopting machine learning solutions.
Haryana Innovation Network
Local Collaboration & Hubs
Active engagement with Gurgaon's tech meetups, startup accelerator programmes and corporate innovation teams across DLF Cyber City and Sector 53.
- IIT Gurgaon & IIFT ecosystem ties across Gurgaon-NCR
- Industrial corridor connectivity via NH-8 and Gurgaon Metro
- In-person meetings in DLF Cyber City & Sector 53
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 Gurgaon 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 Gurgaon 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 Gurgaon businesses choose to work with me
Local presence, global standard
Based near DLF Cyber City and available for local meetings, 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.
Client words
What clients say about working directly with me
Verified feedback from businesses that hired me for focused machine learning work.
"Shreyans scoped the problem before writing a line of code and delivered a working model on the timeline he committed to. Talking to the engineer directly, with no account manager, saved us weeks."
"The forecasting model went straight into production and held its accuracy on live data. Clear milestones and honest trade-offs throughout, exactly what we hoped for from an independent engineer."
"We started with a consulting audit rather than a build, which was the right call. He told us where machine learning would and would not help, then delivered only what actually moved the number."
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 Gurgaon businesses researching Machine Learning Engineers and consultants.
What does a Machine Learning Engineer in Gurgaon actually do?
A Machine Learning Engineer in Gurgaon 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 Gurgaon?
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 Gurgaon?
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 Gurgaon?
Yes. As an independent engineer based near DLF Cyber City in Gurgaon, Haryana, in-person meetings are available for local clients, from the first discovery call through to deployment.
What machine learning services are most in demand locally?
The most requested services are natural language processing, computer vision, predictive modelling, demand forecasting, recommendation systems and MLOps for reliable deployment and monitoring.
Do you work with international clients as well as local businesses?
Yes. The work serves both local Gurgaon and Haryana businesses and 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.
