Hire Machine Learning Engineers in Ahmedabad
Browse 331.0k+ verified machine learning engineer profiles in Ahmedabad on Stackforce
Narendra Jatav
Software Developer
at Dolat Capital
Aditya Bokde
Senior Software Development Engineer
at Emerson Commercial & Residential Solutions
MANOJ PERA
Python Developer
at Stokhos Research Capital LLP
Jeevitha Sadasivam
iOS Developer
at Self Employed
Dr. sadaf saifi
Medical Complaince specialist
at HireRight
Shiva Shirbhate
Software Developer
at Zebra Technologies
Khushi Upadhyay
DevOps Engineer
at Zanskar Securities
Sarah R.
Legal Counsel
at Squarepoint
Rushikesh B
Software Engineer
at Zoomcar
Kit Lofthouse
Global Technology Recruitment Specialist
at Squarepoint
Arpit Chaudhary
Chief Technology Officer
at GreedyGame
Marie-Eve Charlebois
Global Recruitment Specialist
at Squarepoint
Rhituja Aher
Marketing Manager
at Greenland Investment Management
Shrishti G.
Assistant Manager
at Morgan Stanley
Kirti K.
Gamenix coordinator
at Student Welfare Manav Rachna University
Jishnu Gangadhar (He/Him/His)
Recruiter
at Esper
Rachel Joseph
HR Specialist
at Esper
Drew LoPiano
Technical Recruiter
at Trexquant Investment LP
Ajay Sharma
Lead Developer
at Studio Noori
Aditya Sujith Gudimetla
Developer
at Studio Noori
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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 — Ahmedabad
Tech Ecosystem
Ahmedabad is a growing IT hub in western India, bolstered by the development of GIFT City — India's first International Financial Services Centre. The city has a strong entrepreneurial culture and is attracting increasing tech investment.
Salary & Timezone
Average Salary Range
₹5L – ₹18L/year
Timezone
IST (UTC+5:30) — well-suited for European client collaboration
Top Employers
Talent Pool Highlights
- Strong web and mobile development talent from a thriving SME IT services sector
- Growing fintech expertise driven by GIFT City development
- Cost advantage of 40–50% over Bangalore for comparable talent
- Solid pipeline from NID, IIT Gandhinagar, and DA-IICT
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 Ahmedabad?
Stackforce currently has 331.0k+ verified machine learning engineer profiles in Ahmedabad. The pool is continuously growing as new professionals join the platform.
What are the top skills of machine learning engineers in Ahmedabad?
The most common skills among machine learning engineers in Ahmedabad 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 Ahmedabad through Stackforce?
Sign up for a free Stackforce account, browse machine learning engineers profiles in Ahmedabad, 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?
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