Urgent! Quantitative ML Engineer Job Opening In India, India – Now Hiring Meril
As a
Quantitative Machine Learning Engineer
at
Merli , you will help shape the next generation of
AI-driven trading infrastructure .
This role sits at the intersection of
quantitative research, applied ML, and agentic system design , with the goal of optimizing high-frequency (HFT), medium-frequency (MFT), and wholesale trading strategies.
You’ll architect
adaptive, agent-based ML systems
that learn from evolving market microstructures, build robust forecasting and optimization models, and work with trading and infrastructure teams to deploy these solutions in
real-world, low-latency environments .
Key Responsibilities
Design & Build Agentic ML Systems:
Develop autonomous and semi-autonomous agents that perform data acquisition, alpha discovery, backtesting, and execution optimization.
End-to-End ML Engineering:
Architect, train, and deploy ML pipelines for HFT/MFT and wholesale trading, from signal generation to execution integration.
Quantitative Research Integration:
Collaborate with quant researchers to translate theoretical models into production-ready predictive and optimization systems.
Market Forecasting:
Develop deep learning, time series, and reinforcement learning models for price movement prediction and regime detection.
Trading Optimization:
Build reinforcement and meta-learning frameworks that adaptively tune strategy parameters in live environments.
Scalable ML Infrastructure:
Implement real-time inference, model versioning, and continuous learning pipelines for production systems.
Performance Evaluation:
Rigorously validate models with historical and synthetic simulations, ensuring robustness, latency, and financial soundness.
Documentation & Collaboration:
Maintain high standards of reproducibility, version control, and code documentation across research and deployment layers.
What You’ll Gain
Work at the frontier of
AI, quantitative finance, and agentic automation .
Collaborate with
quant researchers, data engineers, and trading teams
shaping next-gen trading systems.
Exposure to
meta-optimization frameworks ,
reinforcement learning , and
multi-agent orchestration .
Hands-on experience with
low-latency ML deployment , GPU acceleration, and distributed training in real trading environments.
Ownership of models that directly influence
market-making, forecasting, and strategy execution .
Continuous learning and experimentation in a
research-first, innovation-driven
environment.
Qualifications
Bachelor’s, Master’s, or Ph.D. in Computer Science, Applied Mathematics, Financial Engineering, or a related quantitative field.
3+ years
of experience developing and deploying ML models in production (preferably in finance, trading, or large-scale decision systems).
Strong proficiency in
Python
and ML frameworks: PyTorch, TensorFlow, scikit-learn, NumPy, Pandas.
Deep understanding of
supervised, unsupervised, and reinforcement learning ,
time-series modeling , and
probabilistic forecasting .
Experience building
scalable data pipelines
with Kafka, Flink, or Ray and deploying models in Docker/Kubernetes environments.
Knowledge of
market microstructure ,
portfolio optimization , or
signal-based trading systems
is highly desirable.
Familiarity with
meta-learning ,
agent-based system design , or
multi-agent coordination
is a strong plus.
Solid analytical, programming, and debugging skills with an emphasis on
system reliability and latency optimization .
Preferred Technical Stack
Languages:
Python, C++, Rust
ML Infrastructure:
Ray, MLflow, Airflow, Weights & Biases
Data Systems:
Kafka, Redpanda, Redis, QuestDB
Model Deployment:
Triton Inference Server, TorchServe, or custom GPU inference
Cloud/Hybrid Setup:
Kubernetes, ArgoCD, Helm
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Quantitative ML Potential: Insight & Career Growth Guide
Real-time Quantitative ML Jobs Trends in India, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Quantitative ML in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 19166 jobs in India and 1272 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in Quantitative ML roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Meril is currently hiring and seeking a Quantitative ML Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Quantitative ML Engineer Jobs India.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Meril adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Quantitative ML Engineer Jobs India varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Quantitative ML Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Quantitative ML Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Quantitative ML Engineer interview at Meril, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Meril's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Quantitative ML Engineer is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!
