Hire Machine Learning Engineers in Noida
Browse 331.0k+ verified machine learning engineer profiles in Noida on Stackforce
Abhishek Suratiya
Lead Software Engineer
at Planify Capital Limited
Karan Chandra Dey
AI Product Consultant + Founder + Artist
at K28
Athulya Varma
Talent Acquisition Consultant
at Licious
Himanshu Khati
Mobile Lead
at WheelsEye
Sadat Mirza
Program Manager
at Uber
Srijita Mitra
Senior Executive Human Resources
at Eclick Softwares and Solutions Pvt Ltd
Ayan Shukla
Actuarial Consultant
at EXL
Ajit kumar
Associate Vice President - Data Analytics
at SG Analytics
Prince Baliyan
Management Information System Executive
at Medicon Group
Prashant Dugar
Head- Strategy and Operations
at Nirnayan Health Care
Isha Khadaria
Analyst - Programmatic
at WPP Media
Arun Kumar singh
Vice President-BI & Data Analytics
at Home Credit India
Faiz Faiz Shaikh
IT Specialist
at Ramdev Group
Nitin Thapliyal
Information Technology Specialist
at Family Tree Maker Support Us
Jyoti Mishra
Senior Talent Acquisition Partner
at Colt Technology Services
Ankur Joshi
Assistant Manager - Talent Acquisition
at Persistent Systems
RISHABH KUMAR
Project Manager Cybersecurity
at BreachLock, Inc.
Andrea Dias
Responsable Commercial
at MediCapillaire Hair Clinique
Shivam Rana
Founding Mobile Engineer
at RentOk
Francisco Arce
Oracle PL/SQL Developer and Oracle Apex Developer
at TeraCode
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Get Started FreeWhat 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 — Noida
Tech Ecosystem
Noida, part of the Delhi NCR tech corridor, is a major IT hub with over 50 SEZs and technology parks. The city has attracted large-scale engineering centers and offers excellent connectivity to Delhi and the wider NCR region.
Salary & Timezone
Average Salary Range
₹6L – ₹22L/year
Timezone
IST (UTC+5:30) — part of the Delhi NCR zone, ideal for EU and Middle East collaboration
Top Employers
Talent Pool Highlights
- Large concentration of enterprise Java, .NET, and ERP implementation specialists
- Strong embedded systems and telecom engineering talent from major R&D centers
- Cost-effective alternative to Gurugram with similar talent access
- Proximity to top universities in Uttar Pradesh and Delhi
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 Noida?
Stackforce currently has 331.0k+ verified machine learning engineer profiles in Noida. The pool is continuously growing as new professionals join the platform.
What are the top skills of machine learning engineers in Noida?
The most common skills among machine learning engineers in Noida include Talent Acquisition, Flutter, Data Analytics, Business Intelligence, Business Development, Next.js. Stackforce AI automatically identifies and verifies these skills from professional profiles.
How do I hire a machine learning engineer in Noida through Stackforce?
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