Mumbai Maharashtra Artificial intelligence data science Jobs – 147 Open Jobs Today

Senior Machine Learning Engineer
Quantiphi —Mumbai, Maharashtra
- Full-time
- Azure
- Master's degree
- Machine learning
Specialist Solution Engineer (Martech)
Salesforce —Mumbai, Maharashtra
- Full-time
- Computer Science
- Salesforce
- Presentation skills
Senior AI Engineer
Quantanite —Mumbai, Maharashtra
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick apply
Graphic Designer Trainer
Digifine Academy —Vashi, Navi Mumbai, Maharashtra
- ₹15,000 - ₹30,000 a month
- Full-time
- Mentoring
- In-person
- AI
Quick apply
Sr ML & AI Engineer
HERE Technologies —Mumbai, Maharashtra
- Full-time
- Azure
- Doctoral degree
- Computer Science
12d
Principal, Account SE - IT/ITES
Salesforce —Mumbai, Maharashtra
- Full-time
- Computer Science
- Salesforce
- AWS
Senior Medical Writer- Publications
Cactus Communications Services Pte. Ltd. —Mumbai Suburban District, Maharashtra
- Medicine
- Doctoral degree
- Microsoft Office
Azure Cloud Architect
Pristine Infotech —Mumbai, Maharashtra
- Email
- Azure
- Oracle
- Doctoral degree
SOC Engineer - L2
NTT Ltd —Mumbai, Maharashtra
- Full-time
- Bachelor's degree
- Computer networking
- Communication skills
TS Implementation Engineer (L2) (NTT)
NTT DATA —Mumbai, Maharashtra
- Full-time
- Computer Science
- Software troubleshooting
- Project management
Marketing Platform Auto Associate
Accenture —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
Graphic Production Designer
Sia —Mumbai, Maharashtra
- Full-time
- Microsoft Powerpoint
- English
- AI
Quick apply
Senior Client Solutions Partner (Life Sciences/Pharma)
Quantiphi —Mumbai, Maharashtra
- Full-time
- Customer service
- Travel
- Mentoring
Business Development Intern
SeadNXT Education Pvt. Ltd. —Mumbai, Maharashtra
- Business development
- Presentation skills
- Travel
Quick apply
Lead Platform Engineer
Bain & Co. —Mumbai, Maharashtra
- Full-time
- Computer science
- Azure
- Computer Science
Quick apply
Clinical Dietitian/Nutritionist
Heaps Health Solutions India Pvt Ltd —Vashi, Navi Mumbai, Maharashtra
- ₹2,50,000 - ₹3,00,000 a year
- Full-time
- B.Sc
- English
- Master's degree
- Health insurance
- Life insurance
Quick apply
Digital Marketing Intern
Guru Nanak Institute of Management Studies —Matunga, Mumbai, Maharashtra
- ₹8,000 a month
- Microsoft Powerpoint
- Microsoft Excel
- Marketing
- Flexible schedule
Quick apply
6d
Client Executive
NetApp —Mumbai, Maharashtra
- Azure
- Computer Science
- Sales
- Paid time off
Solution Area Specialists - Manufacturing
Microsoft —Mumbai, Maharashtra
- Full-time
- Computer Science
- Sales
- Master's degree
Regional Distribution Manager
GlaxoSmithKline —Worli, Mumbai, Maharashtra
- Full-time
- Management
- Inventory control
- Customer service
5d

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Senior Machine Learning Engineer

Quantiphi -
Mumbai, Maharashtra

Apply Now

Job details

Full-time

Qualifications

CI/CD
Azure
Law
MCP
Software deployment
Configuration management
Git
Google Cloud Platform
Master's degree
Machine learning
Terraform
Continuous integration
REST
GitHub
APIs
Financial services
Data science
AI
Jenkins
Graph databases
Python
Analytics

Full job description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Senior Machine Learning Engineer
Company Profile
Quantiphi is an award-winning Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. We are one of the five global launch partners for Google in Machine Learning and one of the three global launch partners for the Google Cloud Contact Center AI solution. Our signature approach combines ground-breaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
We believe in “Solving What Matters”
Company Highlights

Quantiphi has seen 2.5x growth YoY since its inception in 2013
Winner of the “Machine Learning Partner of the Year” award from Google for

two consecutive years - 2017 & 2018

Winner of the “Social Impact Partner of the Year” award from Google in 2019
Winner of the “Data & Analytics -Specialisation Partner of the Year” and “US

Education -Public Sector Partner of the Year” award for 2020
Role: Senior Machine Learning Engineer

Experience Level: 5–7 Years
Role Summary:
We are seeking a hands-on and technically strong Generative AI Engineer to AI
Platform Capabilities team as part of the Platform Implementation Partner
engagement. In this role, you will design, build, and deploy enterprise-grade
Generative AI platform capabilities across four Local Business Units operating on GCP and Azure.
Your primary focus will be on closing identified AI platform capability gaps by
engineering production-ready, reusable GenAI components across the full AI stack - spanning the Decision & Orchestration Layer (RAG, Agent Orchestration, Semantic Router), the Execution Runtime Layer (LLM Gateway, ML Serving, Tool & Integration Runtime, Event Bus), and the Build & Lifecycle Layer (GenAIOps, AgentOps, MLOps).
You will work closely with the Use Case Implementation Partner and LBU Data & AI teams to ensure that all platform capabilities are built for reuse, comply with
enterprise standards, and are delivered within use case timelines across Agency and Operations domains. This is a deeply technical engineering role focused on building and operationalizing platform components, not managing client engagements.
Required Skills:

Generative AI & RAG Engineering: Proven, hands-on experience building

production RAG pipelines, including data ingestion, chunking strategy design,
embedding selection, vector indexing (e.g., BigQuery Vector Search), retrieval
logic, and deployment as API endpoints. Strong understanding of RAG
evaluation metrics (Faithfulness, Answer Relevancy, Context Precision/Recall)
and continuous knowledge base updating pipelines.

Agentic Architecture & Implementation: Demonstrated experience building

multi-agent systems, including Semantic Router, Agent Orchestrator (with
workflow management), Stateful Orchestration Runtime (Reasoning Engine),
and Session State/Memory (LTM/STM) management. Ability to implement
agent-to-agent communication protocols, intent recognition, routing
models, and agent handoff mechanisms with summary generation.

LLM Gateway & Execution Runtime: Experience implementing centralized

AI/LLM Gateway solutions covering model routing, rate limiting, caching,
observability, fallback logic, and policy enforcement across multiple LLM
providers. Familiarity with Tool & Integration Runtime (API calls, MCP, A2A)
and Event Bus/Messaging architectures for asynchronous, decoupled AI
service coordination.

GenAIOps & MLOps Frameworks: Hands-on experience implementing

GenAIOps practices including Prompt Engineering, RAG configuration
management, embedding lifecycle management, PEFT/LLM fine-tuning,
Prompt Registry versioning, and LLM evaluation pipelines. Solid understanding
of MLOps principles covering model training, validation, experiment tracking,
model registry, serving, monitoring, and explainability.

AgentOps Implementation: Experience building and operationalizing

AgentOps frameworks for developing, deploying, monitoring, and governing
AI agents, including scenario testing, approval gate workflows, memory
management, tool call tracking, and latency/success rate monitoring.

GCP AI/ML Platform Proficiency: Strong, hands-on expertise with GCP

services critical to AI platform delivery, including Vertex AI (Model Garden,
Pipelines, Feature Store, Model Registry), Cloud Run, GKE, Cloud Storage,
Pub/Sub, and BigQuery. Ability to deploy GenAI capabilities as scalable,
standalone API-accessible services.

Python & API Development: Strong Python programming skills for building

GenAI pipelines, agentic workflows, REST APIs, and automation scripts.
Experience deploying AI services as scalable API endpoints with appropriate
authentication, rate limiting, and monitoring.

AI Safety, Governance & Compliance: Practical experience implementing AI

safety guardrails, output filtering, PII protection, bias detection, and audit
logging within GenAI platforms. Understanding of data sovereignty
requirements and compliance standards relevant to a regulated financial
services environment.

CI/CD & Infrastructure as Code: Experience integrating GenAI capabilities into

CI/CD pipelines (GitHub Actions, Jenkins, or Google Cloud Build) for
automated testing, evaluation, and deployment. Working knowledge of
Terraform for provisioning GCP-based AI infrastructure.
Nice-to-Have:

Experience building AI platform capabilities in a multi-cloud environment

(GCP and Microsoft Azure), ideally supporting a "build once, leverage
everywhere" reusability model across multiple LBUs.

Familiarity with the Document Intelligence service (AI-powered extraction

from PDFs, invoices, and forms) and Agent Marketplace concepts (centralized
catalog for versioned, reusable AI agents).

Experience with Knowledge Graph architectures integrated with RAG for

enterprise semantic discovery and relationship-based reasoning.

Familiarity with RAG orchestration frameworks such as LangChain or

LlamaIndex, and LLM evaluation toolsets such as RAGAS, DeepEval, or Vertex
AI Rapid Eval.

Experience with Context Store, Vector Store, Embedding infrastructure, and

Feature Store design as components of an AI-ready data layer.

Knowledge of the financial services or insurance (BFSI) domain, including

data sovereignty, regulatory compliance, and risk management
requirements across APAC markets.

Google Cloud Professional Machine Learning Engineer certification.
Experience working within large-scale enterprise programs involving multiple

implementation partners and formal governance and change management
frameworks.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Apply Now

Refine Your Search

artificial intelligence data science jobs in mumbai maharashtra

Senior Machine Learning Engineer

Specialist Solution Engineer (Martech)

Senior AI Engineer

Graphic Designer Trainer

Sr ML & AI Engineer

Principal, Account SE - IT/ITES

Senior Medical Writer- Publications

Azure Cloud Architect

SOC Engineer - L2

TS Implementation Engineer (L2) (NTT)

Marketing Platform Auto Associate

Graphic Production Designer

Senior Client Solutions Partner (Life Sciences/Pharma)

Business Development Intern

Lead Platform Engineer

Clinical Dietitian/Nutritionist

Digital Marketing Intern

Client Executive

Solution Area Specialists - Manufacturing

Regional Distribution Manager

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