Hire Machine Learning Engineers in Bangalore

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

Top skills:Full-Stack DevelopmentBack-End Web DevelopmentRecruitingPython (Programming Language)Microsoft Power AppsiOS DevelopmentMobile Application DevelopmentMedical Compliance
NJ

Narendra Jatav

Software Developer

at Dolat Capital

Mumbai, India2 yrs 11 mos exp
AB

Aditya Bokde

Senior Software Development Engineer

at Emerson Commercial & Residential Solutions

Pune, India6 yrs 10 mos exp
Full-Stack DevelopmentBack-End Web Development
MP

MANOJ PERA

Python Developer

at Stokhos Research Capital LLP

Noida, India1 yr 5 mos exp
Python (Programming Language)Full-Stack DevelopmentMicrosoft Power Apps
JS

Jeevitha Sadasivam

iOS Developer

at Self Employed

Bengaluru, India6 yrs 3 mos exp
iOS DevelopmentMobile Application Development
DS

Dr. sadaf saifi

Medical Complaince specialist

at HireRight

New Delhi, India4 yrs 8 mos exp
Medical CompliancePharmacy Management
SS

Shiva Shirbhate

Software Developer

at Zebra Technologies

Pune, India9 yrs 6 mos exp
KU

Khushi Upadhyay

DevOps Engineer

at Zanskar Securities

Bengaluru, India3 yrs 5 mos exp
Continuous Integration and Continuous Delivery (CI/CD)KubernetesFront-End Development
SR

Sarah R.

Legal Counsel

at Squarepoint

Canada3 yrs 2 mos exp
RB

Rushikesh B

Software Engineer

at Zoomcar

Bengaluru, India4 yrs 10 mos exp
Android DevelopmentMobile Applications
KL

Kit Lofthouse

Global Technology Recruitment Specialist

at Squarepoint

London, United Kingdom13 yrs 9 mos exp
IT RecruitmentTechnical Recruiting
AC

Arpit Chaudhary

Chief Technology Officer

at GreedyGame

Bengaluru, India13 yrs 10 mos exp
data analyticsmobile SDKMobile SDK developmentmobile communication libraryAndroid development
MC

Marie-Eve Charlebois

Global Recruitment Specialist

at Squarepoint

Canada12 yrs 10 mos exp
Recruiting
RA

Rhituja Aher

Marketing Manager

at Greenland Investment Management

Navi Mumbai, India2 yrs 3 mos exp
Performance MarketingGo-to-Market StrategyIntegrated Marketing
SG

Shrishti G.

Assistant Manager

at Morgan Stanley

Bengaluru, India6 yrs 3 mos exp
Kirti K.

Kirti K.

Gamenix coordinator

at Student Welfare Manav Rachna University

Delhi, India9 mos exp
Jishnu Gangadhar (He/Him/His)

Jishnu Gangadhar (He/Him/His)

Recruiter

at Esper

Bengaluru, India8 yrs 7 mos exp
RecruitingStakeholder Management
Rachel Joseph

Rachel Joseph

HR Specialist

at Esper

Bengaluru, India8 yrs 2 mos exp
HR OperationsPerformance ManagementEmployee RelationsEmployee Training
Drew LoPiano

Drew LoPiano

Technical Recruiter

at Trexquant Investment LP

Stamford, United States12 yrs 1 mo exp
Ajay Sharma

Ajay Sharma

Lead Developer

at Studio Noori

New Delhi, India1 yr 3 mos exp
Systems ProgrammingIn-Game Animation & CinematicsAnimationLook Development
Aditya Sujith Gudimetla

Aditya Sujith Gudimetla

Developer

at Studio Noori

Bengaluru, India3 yrs 7 mos exp
Ruby on RailsSalesforceLarge Language Models (LLM)Back-End Web DevelopmentReact.js

Access 331.0k+ machine learning engineer profiles

Sign up free to see full profiles, verified contact info, and use AI-powered talent matching to find your perfect hire.

Get Started Free

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 — Bangalore

🌐

Tech Ecosystem

Often called the Silicon Valley of India, Bangalore is the nation's premier technology hub. The city hosts over 400 multinational R&D centers, a vibrant startup ecosystem with 10,000+ startups, and accounts for nearly 40% of India's IT exports.

💰

Salary & Timezone

Average Salary Range

₹8L – ₹30L/year

Timezone

IST (UTC+5:30) — 12.5 hours ahead of US Pacific, strong overlap with European business hours

🏢

Top Employers

InfosysWiproFlipkartAmazon IndiaSwiggy
🎯

Talent Pool Highlights

  • Largest concentration of tech talent in India with 1.5M+ IT professionals
  • Home to India's densest startup ecosystem and top-tier engineering colleges
  • Deep specialization in cloud computing, AI/ML, and mobile development
  • High proportion of developers with experience at global product companies

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

Related Searches

Frequently Asked Questions

How many machine learning engineers does Stackforce have in Bangalore?

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

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

The most common skills among machine learning engineers in Bangalore include Full-Stack Development, Back-End Web Development, Recruiting, Python (Programming Language), Microsoft Power Apps, iOS Development. Stackforce AI automatically identifies and verifies these skills from professional profiles.

How do I hire a machine learning engineer in Bangalore through Stackforce?

Sign up for a free Stackforce account, browse machine learning engineers profiles in Bangalore, and use AI-powered matching to find the perfect candidate. You can reach out directly through the platform with verified contact information.

Is it free to browse machine learning engineer profiles on Stackforce?

Yes, you can browse profile summaries for free. Sign up for full access to contact information, detailed experience, and AI-powered talent recommendations.