Jobs

Interviews
Job Alerts
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Home
>
Jobs in pune
>
Mastercard
>
ML/AI Engineer II-1

ML/AI Engineer II-1

Mastercard

3 - 6 years

13 - 18 Lacs

pune

Posted:1 day ago| Platform:

Apply

Skills Required

ai engineer data analysis forecasting ai llm machine learning data engineering deep learning diagnostics use cases stakeholder management compliance regression feature engineering digital payments statistical modeling clustering ml

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are currently looking for a Senior Engineer, Machine Learning Engineering for Operational Intelligence Program, within B&MI group. This role would entail development and delivery of secure, scalable, and high-performing AI/ML solutions. As a senior technologist, this role will also focus on engineering best practices, next gen innovation and stakeholder management, while fostering a culture of continuous learning and technical excellence within the team.

Roles and Responsibilities:

Lead the design and development of AI and analytics solutions spanning classical machine learning, time-series forecasting, statistical modeling, deep learning, and emerging agent-based architectures
Develop predictive and prescriptive models using supervised, unsupervised, and probabilistic approaches including regression, tree-based models, clustering, anomaly detection, Bayesian inference, and ensemble methods
Build and optimize time-series forecasting frameworks leveraging ARIMA/SARIMA, ETS, Prophet, VAR models, state-space models, LSTM/GRU-based deep forecasting, and ML-based hybrid forecasting pipelines for financial and operational use cases
Integrate Generative AI and multi-agent systems (LangGraph, CrewAI, AutoGen) with traditional ML and statistical methods to enable reasoning-driven automation, intelligent decision support, and domain-aware task execution
Perform exploratory data analysis, feature engineering, and hypothesis-driven insights using statistical testing, experimental design, root-cause analysis, and uncertainty quantification to guide business-critical decisions
Create reusable model components, frameworks, and evaluation workflows including model selection, hyperparameter tuning, cross-validation, drift detection, and benchmarking across classical ML and GenAI capabilities
Ensure model governance, explainability, and responsible AI practices, using interpretability frameworks (SHAP, counterfactuals, partial dependence) along with fairness, transparency, and compliance standards
Collaborate closely with business stakeholders, product teams, and data engineering partners to translate domain challenges into measurable analytical solutions with quantifiable benefits and ROI
Monitor performance and continuously improve production models, leveraging statistical diagnostics, error decomposition, A/B experimentation, and closed-loop learning strategies
Stay current with advances in machine learning, statistical modeling, deep learning, and agentic AI, evaluating emerging methods and incorporating them into future platform and capability roadmaps

All About You:

Masters/bachelors degree in computer science or engineering and a considerable work experience with a proven track-record of successfully building complex projects/products and delivering to aggressive market needs.
Advanced-level hands on experience designing building and deploying both conventional AI/ML solutions and LLM/Agentic solutions.
Strong analytical and problem-solving abilities with quick adaptation to new technologies methodologies and systems.
Strong applied knowledge and hands on experience in advanced statistical techniques predictive modelling machine learning algorithms

GenAI and deep learning frameworks.

More Jobs at Mastercard

Senior Analyst - Project Management

Pune

5 - 9 yrs

INR 13 - 18 Lacs

Sr. Principal Software Engineer

Pune

9 - 13 yrs

INR 20 - 25 Lacs

Lead Software Engineer-R-245726

Vadodara, Gujarat, India

2 - 4 yrs

Salary: Not disclosed

Consultant-2

Gurugram, Haryana

Experience: Not specified

Salary: Not disclosed

Consultant-2

Gurugram, Haryana

Experience: Not specified

Salary: Not disclosed

Mock Interview

Practice Video Interview with JobPe AI

Start AI Engineer Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

Enhance Your Skills

Practice coding challenges to boost your skills

Start Practicing Now

Mastercard

IT Services and IT Consulting

Purchase NY

Login to

Please Verify Your Phone or Email

Confirm Action

ML/AI Engineer II-1