AI
AIshala
.

AI सीखो

course
Topics
Skills
Roles

AI नौकरियां

नौकरी खोजो
Career Paths

AI Community

Chapters
Events

AI Tools

Tools
By Provider
Guides
🌐
EN
होम
/
नौकरियां
/
Machine Learning Officer — Market Surveillance
T1
Securities and Exchange Board of India (SEBI)

Machine Learning Officer — Market Surveillance

SEBI invites applications for Machine Learning Officers on contract for the Market Surveillance Department. ₹1,30,000-₹1,80,000/month. 2-year contract renewable. Eligibility: B.Tech/M.Tech with 4+ years in ML applied to financial markets, fraud detection, or anomaly detection. Re
government-central
ML Engineer
mid
on-site

तेज़ जवाब: SEBI's Machine Learning Officer (Market Surveillance) is a 2-year renewable contract role, ₹1.3–1.8L/month, requiring 4+ years ML experience in fraud/anomaly detection. B.Tech/M.Tech mandatory. Direct application via online portal—no exam. GPS-eligible.

About this Machine Learning Officer role at Securities and Exchange Board of India (SEBI)

SEBI, India's financial regulator, is hiring Machine Learning Officers for its Market Surveillance Department in Mumbai on a 2-year renewable contract. This is a direct-application role — no entrance exam — where you'll work on fraud detection and market anomaly detection systems that protect India's securities markets. If you're a mid-level ML engineer with financial markets experience, this is a high-impact government role with ₹1,30,000–₹1,80,000/month compensation.

What you'll do

  • Build and deploy machine learning models (XGBoost, transformer-based architectures) to detect fraudulent trading patterns and market manipulation in real-time surveillance systems
  • Develop time-series anomaly detection pipelines using autoencoders and advanced deep learning to flag suspicious market behavior across exchanges
  • Write production Python code and SQL queries to process large-scale financial datasets, integrating raw market data into feature pipelines for model training
  • Design and evaluate ML models that meet regulatory compliance standards, ensuring transparency and explainability for audit and enforcement teams
  • Collaborate with market surveillance analysts and compliance officers to refine model thresholds and interpret model outputs for actionable intelligence

Who should apply

You need a B.Tech or M.Tech degree and at least 4+ years of experience applying machine learning to financial markets, fraud detection, or anomaly detection. This is a mid-level role suited for engineers who already know Python, XGBoost, and transformer-based models; who can write clean SQL; and who have hands-on experience with large-scale data processing. Regulatory awareness is a plus — if you've worked in fintech or compliance tech, even better. Freshers need not apply; SEBI is looking for practitioners ready to contribute immediately.

Salary & offer in context

SEBI offers ₹1,30,000–₹1,80,000 per month for this contract role. For context, mid-level ML Engineer salaries in India typically range ₹80,000–₹1,60,000/month in private tech; SEBI's offer places you in the upper band, reflecting the seniority and regulatory criticality of the work. This is a government role with job security, fixed tenure, and potential renewal, so total compensation (salary + stability) compares well to private-sector AI engineer positions.

Path to apply

This is a direct-application role — no competitive exam required. Visit sebi.gov.in/recruitment and submit your application through the online portal. The deadline is June 4, 2026, so if you're ready, apply soon. You'll go through a technical assessment (likely coding + ML theory) and an interview before final selection.

एक नज़र में

Sector
Government-central
Apply का तरीका
Online-portal
Role
ML Engineer
Experience
Mid
सैलरी
₹130000 – ₹180000/महीना
जगह
Mumbai
काम की तरह
On-site
आखिरी तारीख़
2026-06-04T00:00:00.000Z
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: 6 हफ़्ते।

Step 1
फ्री AI की बेसिक्स
Builds foundational neural network concepts you'll need for transformer and autoencoder architectures required for time-series anomaly detection in market surveillance.
Step 2
Practice + Portfolio
Teaches TensorFlow and Keras for building and training autoencoders and transformer models at scale, directly applicable to SEBI's fraud-detection pipelines.
Step 3
आत्मविश्वास के साथ Apply करो
Covers convolutional and attention mechanisms used in modern time-series models; transfer learning principles apply to multi-market anomaly detection systems.

सवाल जो अक्सर पूछे जाते हैं

मैं इस role के लिए कैसे Apply करूँ?

इस page के ऊपर Securities and Exchange Board of India (SEBI) 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।

AI
AIshala
.

भारत का फ्री AI learning platform। Internet पर मिलने वाली बेस्ट फ्री AI learning stuff को एक जगह लाकर, भारतीय learners के लिए आसान और organized तरीके से पेश किया गया है।

सीखो

सभी courses
Topics
By Provider
अपने profile के हिसाब से
Blog और Guides

Community

City Chapters
Events
Ambassador बनो
Course डालो

हमारे बारे में

हमारा Mission
Contact करो
हमारे साथ Partner बनो
Press Kit

Languages

English
हिन्दी (Q2 2026)
தமிழ் (Q3 2026)
తెలుగు (Q3 2026)
© 2026 AIshala। भारत में ❤️ के साथ बनाया गया।
Twitter
LinkedIn
YouTube
GitHub