Bandra, Mumbai, Maharashtra Mlops engineer Jobs – 79 Open Jobs Today

Data Scientist
Programming.com —Mumbai, Maharashtra
- ₹6,00,242.14 - ₹19,76,587.39 a year
- Full-time
- Computer Science
- Master's degree
- SQL
- Health insurance
- Paid sick time
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Computer Vision Engineer
Addus Services LLP-Client —Kandivali, Mumbai, Maharashtra
- Full-time
- Computer science
- Research
- Master's degree
Quick apply
3d
Senior AI Engineer
PinnacleU —Mumbai, Maharashtra
- ₹8,00,000 - ₹12,00,000 a year
- Full-time
- Azure
- Computer Science
- DevOps
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ML Research Scientist
AryaXAI —Mumbai, Maharashtra
- Full-time
- Hybrid work
- Machine learning
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Senior Software Development Engineer (AI/ML and GenAI Engineer)
Diebold Nixdorf —Mumbai, Maharashtra
- Full-time
- Azure
- Engineering
- Master's degree
GCP Enterprise Architect | Grade - E1
Capgemini Sogeti —Mumbai, Maharashtra
- Master's degree
- SQL
- AI
6d
Senior Lead – AI Engineering (LangGraph / Haystack / RAG Systems)
Codvo.ai —Mumbai, Maharashtra
- Full-time
- Remote
- APIs
- Agile
- AI
Engineering Manager – AI Platforms
Sia —Mumbai, Maharashtra
- Full-time
- Azure
- Management
- Computer Science
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GCP Enterprise Architect | Grade - E1
Capgemini —Mumbai, Maharashtra
- Master's degree
- SQL
- AI
Data Architect
Risosu Consulting —Mumbai, Maharashtra
- ₹10,00,000 - ₹15,00,000 a year
- Full-time
- Machine learning
- In-person
- AI
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AI ADL
CitiusTech Inc —Mumbai, Maharashtra
- Azure
- Computer Science
- PMP
Technology Architect
Accenture —Mumbai, Maharashtra
- Full-time
- Research
- Master's degree
- AWS
Senior Applied Data Scientist
Sia —Mumbai, Maharashtra
- Full-time
- Computer science
- Azure
- Doctoral degree
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Sr Lead Software Engineer - Agentic AI
JPMorganChase —Mumbai, Maharashtra
- Full-time
- Azure
- Master's degree
- AWS
Solutions Architect - AI/ML
Aivar Innovations —Mumbai, Maharashtra
- Azure
- DevOps
- Java
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Lead D&T Data Scientist
General Mills —Mumbai, Maharashtra
- Remote
- Computer Science
- SQL
- Bachelor's degree
9d
Digitization & Analytics Manager - Digitization & Analytics Manager - Strategic Sourcing
Mahindra & Mahindra Ltd —Mumbai, Maharashtra
- Azure
- Computer Science
- Master's degree
Developer Relationship Manager (DevRel)
AryaXAI —Mumbai, Maharashtra
- Full-time
- Remote
- APIs
- AI
Quick apply
Risk Modeling Solutions - Full-stack GenAI - Assistant Vice President
Citi —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
6h
Platform Engineering Manager
Sia —Mumbai, Maharashtra
- Full-time
- Azure
- Management
- English
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Data Scientist

Programming.com -
Mumbai, Maharashtra

Quick apply

Job details

Permanent | Full-time
₹6,00,242.14 - ₹19,76,587.39 a year

Benefits

Provident Fund
Health insurance
Paid sick time

Qualifications

BCS
TensorFlow
Computer Science
PyTorch
NumPy
Git
Master's degree
SQL
Pandas
Bachelor's degree
APIs
Fraud prevention and detection
Data science
Clustering
AI
Banking
Python
Data Science

Full job description

Data Science Team (Senior & Junior Roles) – Mulehunter.ai

Job Location

Mumbai, Maharashtra (On-site / Hybrid)

About Mulehunter.ai & Why These Roles Matter

Mulehunter.ai is an advanced AI/ML-based platform designed to detect mule accounts across the banking ecosystem, with a specialized focus on scaling fraud security within cooperative and rural banking networks. As new banks are onboarded, our platform must be continuously tuned to adapt to a new class of customers, products, and evolving transaction patterns.

To support our rapid expansion, we are scaling our Mumbai-based Data Science team. We are looking for a Senior Data Scientist to provide technical leadership and architectural direction, alongside a Junior Data Scientist to drive hands-on execution, analysis, and experimentation.

Role 1: Senior Data ScientistWhat You Will Do

Technical Leadership: Lead end-to-end model design covering data exploration, feature engineering, training, calibration, validation, and production deployment.
Advanced Modeling: Train, evaluate, and scale supervised, unsupervised, and anomaly-detection models for identifying complex mule-account networks.
Feature Engineering: Partner with AML/FRM teams to translate banking insights and red-flag behaviors into high-performing, model-ready features.
Team & Standards: Define ML standards, code-review practices, experiment tracking, and documentation norms. Mentor junior data scientists and review their technical execution.
Integration: Collaborate closely with data engineers and bank IT teams for seamless deployment via APIs.

What We Are Looking For

Education: Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related field (Master’s preferred).
Experience: 6–8 years of hands-on experience in Data Science and MLOps, ideally within banking, financial crime, or AML domains.
Tech Stack: Strong programming in Python and SQL. Deep familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost, LightGBM) and large-scale transactional datasets.
Infrastructure: Comfort with on-prem ML environments (Anaconda/Jupyter, VS Code, Kubeflow, Git, PySpark).
Domain Knowledge: Strong understanding of AML concepts including RFIs, STR workflow, and alert-review processes.

Role 2: Junior Data ScientistWhat You Will Do

Data Prep & EDA: Perform data quality checks, pre-processing, and exploratory data analysis to surface behavioral indicators and fraud red flags.
Model Support: Build, train, and evaluate baseline supervised and unsupervised models under the guidance of senior data scientists.
Production Monitoring: Monitor live model performance, analyze data drifts, investigate false positives/negatives, and propose tuning actions.
Feedback Loops: Work closely with the Enhanced Due Diligence (EDD) team to refine thresholds and continuously improve alert precision.
Documentation: Keep rigorous records of detection rules, model versions, and experiment results.

What We Are Looking For

Education: Bachelor’s degree in Computer Science, Data Science, AI/ML, Statistics, or a related field.
Experience: 2–5 years of applied ML experience, preferably with exposure to banking, fraud, or transactional datasets.
Tech Stack: Proficiency in Python and SQL, with hands-on experience using pandas, NumPy, scikit-learn, XGBoost, and LightGBM. (PySpark is a major plus).
Core Concepts: Clear understanding of core classification, clustering, and anomaly-detection techniques.
Workflow: Comfort using Anaconda/Jupyter, VS Code, and Git-based version control, alongside an eagerness to learn financial compliance systems.

What Success Looks Like for Our Team

Production Excellence: Deploying highly accurate, production-grade fraud detection models across our participating banks.
Operational Efficiency: Materially reducing false-positive rates while significantly improving model interpretability for bank compliance officers.
Seamless Integration: Achieving successful validation and seamless integration with existing bank AML/FRM infrastructures.

Pay: ₹600,242.14 - ₹1,976,587.39 per year

Benefits:

Health insurance
Paid sick time
Provident Fund

Work Location: In person

Quick apply

Refine Your Search

mlops engineer jobs in bandra, mumbai, maharashtra

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