Hire Machine Learning Engineers in Mumbai
Browse 213.1k+ verified machine learning engineer profiles in Mumbai on Stackforce
Vasuki Dileep
Staff Software Engineer
at Ping Identity
Dr.Shubhra Chakraborty🎯
Global Marketing Manager
at Philips
Sanjeev Angral
Talent Acquisition Executive
at InstakartServices Private Limited
Kirti Aggarwal
HR Executive
at Swiggy
Siva Kumar
Director - Product & Technology
at Indegene
Abhishek Sharma
Marketing And Business Development Executive
at Bitstreaks Technologies
Narendra K.
Java Software Engineer
at Tata Consultancy Services
Aditya (Addy) Jha
Senior Recruiter
at Delta System & Software, Inc.
Keerthi Manoharan
Talent Acquisition Executive
at Meeden Labs
Pooja kumari
Human Resources Specialist
at STAQO
Mustafa Lokhandwala
Technical Lead
at Nous Infosystems
Abdulrahman Almutairy
Sales Manager
at Solstice Advanced Materials
Sharang Sharma
Vice President
at Everest Group
Kate Griggs
Founder & CEO
at Made By Dyslexia
Pratik Rajawat
Director
at PW (PhysicsWallah)
Noor Fatima
Penetration Tester
at Tech Hierarchy
Joey Guerra
VP of Engineering / Fractional Engineering Leader
at Kaizen I/O
Vikash Sumit
Doctoral Researcher
at University of Lucknow
Alessandro Cracolici
CEO & Co-Founder
at Hypersee
Anuj Pandey
Co-Founder & CTO
at Arodya
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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 — Mumbai
Tech Ecosystem
Mumbai is India's financial capital and a rapidly growing fintech hub. The city combines deep domain expertise in banking, insurance, and capital markets with a strong IT services presence across BKC, Powai, and Navi Mumbai.
Salary & Timezone
Average Salary Range
₹8L – ₹28L/year
Timezone
IST (UTC+5:30) — ideal for serving European and Middle Eastern clients with same-day overlap
Top Employers
Talent Pool Highlights
- Strong fintech and enterprise software talent pool driven by India's banking capital
- Growing number of SaaS and product startups in the Powai tech corridor
- Excellent cross-functional talent combining tech skills with finance domain knowledge
- Large pool of experienced project managers and solution architects
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 Mumbai?
Stackforce currently has 213.1k+ verified machine learning engineer profiles in Mumbai. The pool is continuously growing as new professionals join the platform.
What are the top skills of machine learning engineers in Mumbai?
The most common skills among machine learning engineers in Mumbai include Project Management, Business Development, Business Operations, Recruitment, Leadership, Engineering Management. Stackforce AI automatically identifies and verifies these skills from professional profiles.
How do I hire a machine learning engineer in Mumbai through Stackforce?
Sign up for a free Stackforce account, browse machine learning engineers profiles in Mumbai, and use AI-powered matching to find the perfect candidate. You can reach out directly through the platform with verified contact information.
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