Sakinaka Mumbai Maharashtra Production support engineer (python, sql) Jobs – 117 Open Jobs Today

Platform Product Owner-AI Enablement & Vendor Experience
Maersk —Mumbai, Maharashtra
- Full-time
- Azure
- Databases
- SQL
Senior SDET II
Russell Investments —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Salesforce
Full Stack Engineer, AI Platform
Accrete —Mumbai, Maharashtra
- Full-time
- Hybrid work
- Azure
- Databases
- SQL
- Paid time off
Quick apply
Full Stack Developer
IRIS Business Services —Turbhe, Mumbai, Maharashtra
- Full-time
- Azure
- SQL
- AWS
Sr. D&T Machine Learning Engineer
General Mills —Powai, Mumbai, Maharashtra
- Full-time
- SQL
- Bachelor's degree
- Machine learning
Senior Consultant | Databricks | Mumbai | Engineering
Deloitte —Mumbai, Maharashtra
- Azure
- DevOps
- Master's degree
Senior Software Engineer - DevOps
LoginextSolutions —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- Java
Fullstack Developer (Technical Lead)
Burns & McDonnell —Mumbai, Maharashtra
- Full-time
- Azure
- Software troubleshooting
- B.Sc
Tech & Digital-Sr Software Engineer-Full Stack
HDFC Bank —Navi Mumbai, Maharashtra
- Oracle
- Computer Science
- Software troubleshooting
4d
Lead Data Scientist
General Mills —Powai, Mumbai, Maharashtra
- Full-time
- Computer Science
- SQL
- Bachelor's degree
Advanced Marketing AI & Data Engineer
Maker Lab —Mumbai, Maharashtra
- Remote
- B.Sc
- English
- SQL
Quick apply
Principal Software Engineer
Nomura —Mumbai, Maharashtra
- Java
- Master's degree
- SQL
Senior Data Scientist
General Mills —Powai, Mumbai, Maharashtra
- Full-time
- Computer Science
- Master's degree
- SQL
Senior Data Scientist – Builder
Puma Energy —Mumbai, Maharashtra
- Full-time
- Management
- Master's degree
- SQL
Full Stack Engineer, Vice President
BlackRock Investments —Mumbai, Maharashtra
- Hybrid work
- Azure
- Computer Science
- B.Sc
- Work from home
Senior Machine Learning Engineer
Morningstar —Mumbai, Maharashtra
- Full-time
- Hybrid work
- Azure
- Computer Science
- System design
VP - Sr Lead Data Engineer (Snowflake)
JPMorganChase —Mumbai, Maharashtra
- Full-time
- Master's degree
- SQL
- Mentoring
10d
Lead Machine Learning Engineer (MLops)
General Mills —Powai, Mumbai, Maharashtra
- Full-time
- SQL
- Math
- Bachelor's degree
Senior Data Scientist
Aker Solutions —Mumbai, Maharashtra
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
- Health insurance
- Work from home
Agent Architect - Inference and Agentic AI
Paytm —Mumbai, Maharashtra
- Master's degree
- SQL
- Bachelor's degree

I want to receive the latest job alerts for production support engineer (python, sql) in sakinaka mumbai maharashtra

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

production support engineer (python, sql) jobs near sakinaka mumbai maharashtra

Vice President Of Engineering jobs in Mumbai, Maharashtra

Senior Consulting Engineer jobs in Mumbai, Maharashtra

Vendor jobs in Mumbai, Maharashtra

Full Stack Developer jobs in Mumbai, Maharashtra

Software Test Engineer jobs in Mumbai, Maharashtra

Data Engineer jobs in Mumbai, Maharashtra

Senior Data Scientist jobs in Mumbai, Maharashtra

Machine Learning Engineer jobs in Mumbai, Maharashtra

Full Stack Developer jobs in Navi Mumbai, Maharashtra

Ai Architect jobs in Bengaluru, Karnataka

Machine Learning Engineer jobs in Thiruvananthapuram, Kerala

Machine Learning Engineer jobs in Mumbra, Thane, Maharashtra

Civil Engineer jobs in Kerala

It Support Engineer jobs in Navi Mumbai, Maharashtra

Machine Learning Engineer jobs in Chennai, Tamil Nadu

Machine Learning Engineer jobs in Nashik, Maharashtra

Civil Engineer jobs in Mumbai, Maharashtra

Lead Data Scientist jobs in Gopalpur, Orissa

Lead Data Scientist jobs in Erode, Tamil Nadu

Data Engineer Fresher jobs in Ahmedabad, Gujarat

Platform Product Owner-AI Enablement & Vendor Experience

Maersk -
Mumbai, Maharashtra

Apply Now

Job details

Full-time

Qualifications

Azure
MCP
Procurement
Spark
Business analysis
Databases
SQL
AWS
APIs
AI
Python

Full job description

Develops AI Automation and Agents for ASSP

About Us:

Maersk is a global leader in integrated logistics and have been industry pioneers for over a century. Through innovation and transformation, we are redefining the boundaries of possibility, continuously setting new standards for efficiency, sustainability, and excellence.

At Maersk, we believe in the power of diversity, collaboration, and continuous learning and we work hard to ensure that the people in our organization reflect and understand the customers we exist to serve.

With over 100,000 employees across 130 countries, we work together to shape the future of global trade and logistics.

Join us as we harness cutting-edge technologies and unlock opportunities on a global scale. Together, let's sail towards a brighter, more sustainable future with Maersk.

Role Purpose:

As Platform Product Owner-AI Enablement, you will drive the delivery of agentic AI across the platform — from identifying use cases and ensuring data foundations are in place, through to building, launching, and tracking the value they create. You will translate process pain points into well-scoped AI opportunities, ensure data is catalogued and production-ready before any agent is built, and coordinate with enterprise architects and engineering managers to bring agents into production. You will use tools such as Claude Code, Microsoft Copilot, and modern AI orchestration frameworks to prototype and build AI agents directly — operating as a hands-on builder, not only a specification writer.

Core Accountabilities:

1. AI Use Case Development & Pipeline

· Partner with use case owners and Global Process Leads to identify, qualify, and size AI opportunities across enterprise workflows.

· Maintain a sequenced AI use case pipeline aligned to the AI Transformation roadmap and OP priorities.

2. Data & Catalogue Enablement

· Define data requirements (sources, fields, quality thresholds) needed for each agent to function reliably, and own Data Catalogue entries as a mandatory gate before POC or build.

· Build and maintain semantic search and retrieval layers (vector databases, embedding pipelines) to support agent grounding.

3. Technical Delivery & Hands-On AI Development

· Co-own technical design of AI agents with architects and engineering managers; define APIs, data flows, and integration patterns.

· Design and build RAG pipelines, multi-agent workflows, and orchestration logic using frameworks such as LangChain, LangGraph, LlamaIndex, or AutoGen.

· Fine-tune prompts and evaluate outputs across LLMs (GPT, Claude, Gemini, or open-source models) for business scenarios.

· Deploy AI solutions on cloud platforms (Azure, AWS, or GCP), applying responsible AI and governance practices throughout.

4. Adoption & Value Tracking

· Own business readiness for each launch (stakeholder alignment, training, communication) and mitigate adoption risks early.

· Define and track business KPIs (e.g. hours saved, error reduction) and technical KPIs (e.g. accuracy, latency) per agent, reporting value realisation to the Head of AI Enablement.

Skills & Experience Required:

· Experience in product ownership, business analysis, or process improvement within a procurement, supply chain, or operations environment.

· Demonstrable hands-on daily use of AI tools (Claude, Copilot, ChatGPT or equivalent) to solve real work problems.

· Working proficiency in Python and SQL, sufficient to prototype and iterate on agent code, not just specify it.

· Comfortable reading datasets, writing basic SQL, and assessing quality without needing to be a data engineer.

Preferred:

· Deeper agentic AI experience (multi-agent systems, tool use, prompt engineering) with at least a working prototype built.

· Experience with Databricks, Snowflake, Spark, or similar data platforms, and deploying AI workloads on major cloud providers.

· Hands-on experience with at least one AI orchestration framework (LangChain, LangGraph, LlamaIndex, or AutoGen) and practical understanding of RAG, embeddings, and vector databases.

· Familiarity with data catalog/lineage concepts, MCP (Model Context Protocol), or transformation/platform product roles in a large matrixed organisation.

· Experience with procurement processes and platforms (e.g. Source-to-Contract, Procure-to-Pay, or vendor management systems).

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing [email protected] .

Apply Now

Refine Your Search

production support engineer (python, sql) jobs in sakinaka mumbai maharashtra

Platform Product Owner-AI Enablement & Vendor Experience

Senior SDET II

Full Stack Engineer, AI Platform

Full Stack Developer

Sr. D&T Machine Learning Engineer

Senior Consultant | Databricks | Mumbai | Engineering

Senior Software Engineer - DevOps

Fullstack Developer (Technical Lead)

Tech & Digital-Sr Software Engineer-Full Stack

Lead Data Scientist

Advanced Marketing AI & Data Engineer

Principal Software Engineer

Senior Data Scientist

Senior Data Scientist – Builder

Full Stack Engineer, Vice President

Senior Machine Learning Engineer

VP - Sr Lead Data Engineer (Snowflake)

Lead Machine Learning Engineer (MLops)

Senior Data Scientist

Agent Architect - Inference and Agentic AI

I want to receive the latest job alerts for production support engineer (python, sql) in sakinaka mumbai maharashtra

Explore jobs in more locations

Role Purpose:

Core Accountabilities:

1. AI Use Case Development & Pipeline

2. Data & Catalogue Enablement

3. Technical Delivery & Hands-On AI Development

4. Adoption & Value Tracking

Skills & Experience Required:

Jobseeker tools

Employer Tools

Browse

Stay Connected