- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Machine learning engineer.
Urgent! Machine learning engineer Job Opening In Chennai – Now Hiring Tonik
Job Title: Machine Learning Engineer
Location: DLF Cybercity, Porur, Chennai- India
Experience: 4- 8 Years
About the Job:
We are looking for a skilled Machine Learning Engineer with hands-on experience in deploying ML models on scale using Google Cloud Platform (GCP) and Fast API.
This is a high-visibility Individual Contributor role responsible for enabling real-time and batch model inference to support critical business functions across Credit Risk, Customer Growth, Marketing, and Operations for our Retail Banking customers.
The ideal candidate will have a strong ML engineering background, with proven experience in model deployment, monitoring, ML-Ops, and collaborative solution development with cross-functional teams including Data Scientists, Product Managers, and Software Engineers.
Job Responsibilities:
1.
The candidate must be able to independently manage his/ her own workstream and effectively collaborate with other regional teams.
2.
Own and manage end-to-end ML deployment pipelines, ensuring reliable real-time and batch inference using Fast API and GCP services (Vertex AI, Big Query, Cloud Functions, etc.).
3.
Collaborate with cross-functional teams (Data Scientists, Product Managers, Engineers) across Chennai, Manila, and Singapore to deliver production-grade ML solutions aligned with business goals.
4.
Design and implement robust, reusable, and well-documented code using Python and SQL, leveraging industry-standard ML libraries like scikit-learn, pandas, Num Py, Spacy, Light GBM, and Cat Boost.
5.
Deploy and maintain models across various use cases such as Credit Risk (PD, LGD, Scorecards), Propensity & Response Models, Customer Segmentation Models, Marketing Attribution Models
6.
Ensure model governance by adhering to regulatory and compliance standards in financial services environments.
Preferred Experience and Qualifications:
1.
BS/ MS in Computer Science/ Analytics/ ML/ Mathematics/ Physics/ other Science or Engineering Disciplines.
4-8 years of relevant industry experience preferred.
2.
Must have Expert Level proficiency in Python and SQL.
certifications in ML, cloud platforms (GCP/AWS), or ML-Ops is a plus.
3.
Strong experience with core ML libraries and frameworks (Scikit Learn, Num Py, Pandas, Cat boost spacy etc.)
4.
Minimum 3 years’ experience in building Credit risk models for other financial institutions/ Retail/ B2 C start-ups/ System Integrator companies/ Saa S-based Banking Platforms/Product based companies would be beneficial.
5.
Proven Experience in ML-Ops, Model Governance on GCP is required
6.
Above all, I must be a great team player and proactive communicator.
This is a Table Stake Criteria!!!
Who we are Looking for:
1.
Willingness to go the extra mile for success.
2.
A talented individual who embodies our company’s core values of teamwork, honesty, reliability, sense of humour and street smart
3.
Energetic and lively.
4.
As our approach to banking is far from ordinary, we are looking for an innovative and creative individual to join our team.
About Tonik:
We are a transformative digital
✨ 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 Machine learning Potential: Insight & Career Growth Guide
Real-time Machine learning Jobs Trends in Chennai, 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 Machine learning in Chennai, 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 19686 jobs in India and 462 jobs in Chennai. This comprehensive analysis highlights market share and opportunities for professionals in Machine learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Tonik is currently hiring and seeking a Machine learning 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: Machine learning engineer Jobs Chennai.
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 Tonik adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine learning engineer Jobs India varies, but the pay scale is rated "Standard" in Chennai. 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 Machine learning engineer typically include Finance 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 Machine learning 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 Machine learning engineer interview at Tonik, 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 Tonik'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 Machine learning 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!