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ML Engineer — Tiger Analytics
T1
Tiger Analytics

ML Engineer — Tiger Analytics

Tiger Analytics is hiring ML Engineers across Chennai, Bengaluru, Hyderabad. ₹12-30 LPA. Eligibility: 2-5 years ML. Direct apply.
private-mnc
ML Engineer
mid
on-site

तेज़ जवाब: Tiger Analytics seeks ML Engineers (2-5 yrs) in Chennai, Bengaluru, Hyderabad at ₹12-30 LPA. Direct application via careers portal. Core AI role building production ML systems for enterprise analytics.

About this ML Engineer role at Tiger Analytics

Tiger Analytics is actively hiring ML Engineers across India, with positions in Bengaluru, Chennai, and Hyderabad. As a mid-level Machine Learning Engineer, you'll work on production ML systems at a private AI-focused organization where deep learning and model development are core to the business. This is a direct-apply role — no exam, no waiting list — perfect for engineers with 2–5 years of ML experience ready to step up.

What you'll do

  • Design, develop, and deploy machine learning models using Python and deep learning frameworks
  • Work on model development and optimization for real-world applications
  • Perform data analysis and feature engineering to improve model performance
  • Collaborate with cross-functional teams to translate business problems into ML solutions
  • Maintain and iterate on production ML systems based on performance metrics

Who should apply

You're a mid-level ML engineer with 2–5 years of hands-on experience in machine learning, Python development, and deep learning. You should have a solid foundation in data analysis and model development. This role doesn't require a specific domain background — Tiger Analytics values practical ML skills and the ability to learn quickly on the job.

Salary & offer in context

Tiger Analytics offers ₹12–30 LPA (₹1,00,000–₹2,50,000 per month), placing this firmly in the mid-level ML Engineer salary band in India. For context, mid-level AI engineer salaries in India typically range from ₹80K to ₹2.5L monthly depending on experience and specialization, so this offer is competitive for the Bengaluru tech market.

Path to apply

This is a direct online application — apply straight through Tiger Analytics' careers portal at tigeranalytics.com/careers. No coding test, no preliminary screening exam — just your resume, portfolio, and a conversation with the hiring team. The application deadline is June 7, 2026, so apply soon if you're interested.

एक नज़र में

Sector
Private-mnc
Apply का तरीका
Online-portal
Role
ML Engineer
Experience
Mid
सैलरी
₹100000 – ₹250000/महीना
जगह
Bengaluru
काम की तरह
On-site
आखिरी तारीख़
2026-06-07T00:00:00.000Z
आखिरी बार चेक किया
2026-05-31T00:00:00.000Z

ML Engineer roles के लिए तैयार होने के लिए फ्री course ladder

इस role के लिए AIshala ने चेक किए हुए फ्री courses, step-by-step में लगाए गए। कुल तैयारी का समय: 4 हफ़्ते।

Step 1
फ्री AI की बेसिक्स
Teaches production-grade TensorFlow for model development — core framework for ML Engineers at Tiger Analytics
Step 2
Practice + Portfolio
Covers deep learning fundamentals and neural networks required for mid-level ML Engineer roles
Step 3
आत्मविश्वास के साथ Apply करो
Builds applied computer vision skills using deep learning — common specialization for production ML systems

सवाल जो अक्सर पूछे जाते हैं

मैं इस role के लिए कैसे Apply करूँ?

इस page के ऊपर Tiger Analytics पर Apply करो पर क्लिक करो और employer के official application form पर जाओ। AIshala applications नहीं लेता — हम तुम्हें सीधे source से जोड़ते हैं।

क्या अभी इस role के लिए नौकरी खुली है?

हाँ — हम हर लिस्टिंग को verify करते हैं और बंद हो चुकी नौकरियों को हटा देते हैं। deadline (अगर है) ऊपर के badge में दिखेगी। अगर कोई पुरानी लिस्टिंग दिखे तो Contact के ज़रिये बताओ, हम 24 घंटे में देख लेंगे।

इस role के लिए कौन-से फ्री courses मुझे तैयार करेंगे?

ऊपर का course ladder सेक्शन देखो — ये AIshala द्वारा verify किए गए फ्री courses हैं, जो इस specific role के skills के लिए arranged हैं। हर step के साथ estimated तैयारी का समय दिखा है।

क्या AIshala मेरे application में मदद करेगा?

हम सीधे applicants को mentor नहीं करते, लेकिन हमारे City Chapters में ambassadors और peer groups हैं जो informally application देख सकते हैं। अपने शहर का chapter Chapters page पर खोजो।

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