Hire Machine Learning Engineers in Delhi

Browse 331.0k+ verified machine learning engineer profiles in Delhi on Stackforce

Top skills:Talent AcquisitionFlutterData AnalyticsBusiness IntelligenceBusiness DevelopmentNext.jsReact.jsAI Product Development
AS

Abhishek Suratiya

Lead Software Engineer

at Planify Capital Limited

Delhi, India5 yrs 5 mos exp
Next.jsReact.js
Karan Chandra Dey

Karan Chandra Dey

AI Product Consultant + Founder + Artist

at K28

Bengaluru, India2 yrs 6 mos exp
AI Product DevelopmentAI Product StrategyArtificial Intelligence (AI)Product ManagementSoftware as a Service (SaaS)
Athulya Varma

Athulya Varma

Talent Acquisition Consultant

at Licious

Bengaluru, India1 yr 2 mos exp
Talent AcquisitionRecruitingData AnalysisCommunicationBioinformatics
Himanshu Khati

Himanshu Khati

Mobile Lead

at WheelsEye

Gurugram, India8 yrs 11 mos exp
AndroidFlutterVersion ControlSoftware Design PatternsKotlin
Sadat Mirza

Sadat Mirza

Program Manager

at Uber

Hyderabad, India15 yrs 10 mos exp
Technical Program ManagementTechnology ManagementQuality OperationsSoftware Quality AssuranceTest Engineering
Srijita Mitra

Srijita Mitra

Senior Executive Human Resources

at Eclick Softwares and Solutions Pvt Ltd

Kolkata, India3 mos exp
Ayan Shukla

Ayan Shukla

Actuarial Consultant

at EXL

Columbus, United States10 yrs 10 mos exp
Actuarial ConsultingData asset developmentTeam LeadershipPredictive Modeling
Ajit kumar

Ajit kumar

Associate Vice President - Data Analytics

at SG Analytics

Bengaluru, India11 yrs exp
Data AnalyticsBusiness IntelligenceBusiness ConsultingBusiness Analysis
Prince Baliyan

Prince Baliyan

Management Information System Executive

at Medicon Group

Gurugram, India1 yr 5 mos exp
Prashant Dugar

Prashant Dugar

Head- Strategy and Operations

at Nirnayan Health Care

Kolkata, India7 yrs 9 mos exp
Management ConsultingStrategyBusiness Development
Isha Khadaria

Isha Khadaria

Analyst - Programmatic

at WPP Media

India4 yrs 2 mos exp
Programmatic AdvertisingDigital MarketingHuman Resources (HR)
Arun Kumar singh

Arun Kumar singh

Vice President-BI & Data Analytics

at Home Credit India

Gurugram, India13 yrs 4 mos exp
Business IntelligenceData AnalyticsData Migration
FF

Faiz Faiz Shaikh

IT Specialist

at Ramdev Group

Surat, India0 mo exp
Nitin Thapliyal

Nitin Thapliyal

Information Technology Specialist

at Family Tree Maker Support Us

United Kingdom1 yr 1 mo exp
Jyoti Mishra

Jyoti Mishra

Senior Talent Acquisition Partner

at Colt Technology Services

Greater Delhi Area, India14 yrs 3 mos exp
Talent AcquisitionHuman Resources
Ankur Joshi

Ankur Joshi

Assistant Manager - Talent Acquisition

at Persistent Systems

Pune, India7 yrs 9 mos exp
Leadership HiringTechnical RecruitmentStakeholder ManagementClient ManagementCandidate Management
RISHABH KUMAR

RISHABH KUMAR

Project Manager Cybersecurity

at BreachLock, Inc.

Gurugram, India7 yrs exp
Project ManagementPenetration TestingTranslation Project ManagementPatent Translation
Andrea  Dias

Andrea Dias

Responsable Commercial

at MediCapillaire Hair Clinique

France7 yrs 6 mos exp
Business DevelopmentClient Experience
Shivam Rana

Shivam Rana

Founding Mobile Engineer

at RentOk

Gurugram, India8 yrs 10 mos exp
Mobile ApplicationsFlutterAndroid DevelopmentSoftware Architecture
Francisco Arce

Francisco Arce

Oracle PL/SQL Developer and Oracle Apex Developer

at TeraCode

Villa Dolores, Argentina18 yrs exp
Oracle APEXPL/SQLJava J2EE

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What Do Machine Learning Engineers Do?

Machine learning engineers build, deploy, and maintain ML systems that power intelligent features in products and services. They bridge the gap between data science research and production engineering, turning experimental models into scalable, reliable systems. ML engineers work with frameworks like TensorFlow, PyTorch, and scikit-learn, and deploy models using MLOps tools like MLflow, Kubeflow, and SageMaker. They handle data pipelines, feature engineering, model training, hyperparameter tuning, and production inference optimization. Companies hire machine learning engineers to build recommendation systems, natural language processing features, computer vision applications, and predictive analytics platforms. As AI becomes central to product strategy, ML engineers are among the most sought-after technical professionals.

What to Look For

  • Strong Python skills with deep experience in TensorFlow or PyTorch
  • Has deployed ML models to production and managed the full ML lifecycle
  • Experience with MLOps tools and model monitoring in production
  • Understands data pipeline design and feature engineering at scale
  • Can discuss model evaluation metrics and knows when models are underperforming
  • Familiar with cloud ML services (SageMaker, Vertex AI, Azure ML)
🚩

Red Flags to Watch

  • Cannot explain the difference between training, validation, and test sets
  • Only builds models in notebooks and has never deployed to production
  • No understanding of data drift, model monitoring, or retraining strategies
  • Cannot discuss trade-offs between model accuracy and inference latency
  • Has never worked with large datasets or distributed training
  • Cannot explain the models they've built beyond 'I used a neural network'

Market Insights — Delhi

🌐

Tech Ecosystem

The Delhi NCR region is one of India's largest tech corridors, blending government technology initiatives with a fast-growing consumer internet startup scene. The region benefits from proximity to policy-making and a massive consumer market.

💰

Salary & Timezone

Average Salary Range

₹7L – ₹25L/year

Timezone

IST (UTC+5:30) — well-positioned for overlap with European and Middle Eastern time zones

🏢

Top Employers

PaytmZomatoAdobe IndiaSamsung R&DEricsson India
🎯

Talent Pool Highlights

  • Strong talent pipeline from IIT Delhi, DTU, and other top-tier NCR institutions
  • Deep expertise in consumer tech, e-commerce, and government digital services
  • Growing pool of AI/ML engineers driven by research institutions in the region
  • Competitive compensation relative to Bangalore with lower attrition rates

What Hiring Managers Say

We needed ML engineers who could take our research models to production. Stackforce matched us with engineers who understood both the math and the engineering. Our inference pipeline now processes images 5x faster.

Robert Y.

Head of AI, Computer Vision Startup

Finding machine learning engineers with production deployment experience is our biggest hiring challenge. Stackforce's verified profiles showed us candidates with real MLOps experience, not just Kaggle projects.

Shreya P.

VP of Engineering, NLP Platform

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Frequently Asked Questions

How many machine learning engineers does Stackforce have in Delhi?

Stackforce currently has 331.0k+ verified machine learning engineer profiles in Delhi. The pool is continuously growing as new professionals join the platform.

What are the top skills of machine learning engineers in Delhi?

The most common skills among machine learning engineers in Delhi include Talent Acquisition, Flutter, Data Analytics, Business Intelligence, Business Development, Next.js. Stackforce AI automatically identifies and verifies these skills from professional profiles.

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