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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

Quick take: 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.

One Glance

Sector
Government-central
விண்ணப்பிக்கும் முறை
Online-portal
Role
ML Engineer
Experience
Mid
Salary
₹1.3L–₹1.8L/mo
Location
Mumbai
வேலை ஏற்பாடு
On-site
Deadline
4 Jun 2026
கடைசியாக சரிபார்க்கப்பட்டது
2026-05-31T00:00:00.000Z

ML Engineer வேலைகளுக்கு தகுதி பெற free courses

இந்த வேலைக்குத் தேவையான course ladder — AIshala மூலம் சரிபார்க்கப்பட்ட free courses. மொத்தமாக 6 வாரங்கள்.

Step 1
Free AI Basics
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
Confident-ஆ விண்ணப்பிக்கவும்
Covers convolutional and attention mechanisms used in modern time-series models; transfer learning principles apply to multi-market anomaly detection systems.

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Top-ல் "Course Ladder" section பாருங்கள் — it's AIshala-verified free courses, sorted by the skills you actually need for this specific job. மாத்த prep time estimate each step-ல் உண்டு.

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