11+ SAP MDM Jobs in Delhi, NCR and Gurgaon | SAP MDM Job openings in Delhi, NCR and Gurgaon
Apply to 11+ SAP MDM Jobs in Delhi, NCR and Gurgaon on CutShort.io. Explore the latest SAP MDM Job opportunities across top companies like Google, Amazon & Adobe.
Location: PAN India
- Expert in SAP master data/integration related experience
- Has participated in at least two large information transformation engagements
- Ability to work with and collaborate with all Teams and Individuals in the Business Teams and the SAP Teams toward developing a best practice data creation, maintenance, governance, quality, and efficiencies
Job Description: Prompt Engineer Intern
Opening : 02
Company: Timble AI
Location: Delhi (On-site)
Duration: 4 - 6 Months (With PPO potential based on performance)
Department: AI & Product Development
About Timble AI
Timble AI is a fast-growing technology organization pioneering AI-driven financial intelligence, identity verification, and Voice AI solutions. Built on our core philosophy of "Efficiency by Design," we develop enterprise-grade APIs that automate complex business processes. We thrive on a high-energy culture where innovation meets execution.
Role Objective
We are seeking a tech-savvy Prompt Engineer Intern to collaborate with our engineering team. You will be responsible for designing, refining, and optimizing prompts for Large Language Models (LLMs) to improve the accuracy, speed, and reliability of our AI products.
Key Responsibilities
- Prompt Design & Optimization: Craft, test, and fine-tune complex prompts to ensure our AI models deliver precise, context-aware responses.
- UI Integration: Work closely with front-end components using HTML to ensure the AI's output renders beautifully and functions correctly within our user interfaces.
- Model Evaluation: Conduct iterative testing to identify edge cases, reduce AI hallucination, and maintain output consistency.
- Cross-Functional Collaboration: Partner with the data science and core engineering teams to align prompt behavior with backend technical capabilities.
Requirements & Technical Skills
- Education: B.Tech in Computer Science (CS) or a related technical field.
- Web Basics: Strong fundamental knowledge of HTML (and basic CSS/JavaScript) to structure and present data seamlessly.
- AI Familiarity: A solid understanding of how LLMs (like GPT, Claude, or open-source models) interpret natural language instructions.
- Analytical Mindset: Excellent problem-solving skills to debug why a model failed a specific query and find a logical fix.
- Work Ethic: A strong "hustle" mindset, ready to adapt to a fast-paced environment and maintain high professional standards.
What’s in it for you?
- Direct mentorship from core AI/ML engineers.
- Hands-on experience working on live production models used by enterprise clients.
- A vibrant office environment where creative ideas are put into production quickly.
- Certificate of Internship and a strong consideration for a Full-Time Offer (PPO).
Strong Technical Account Manager (Publisher Side) Profile
Mandatory (Experience 1) – Must have minimum 8+ years of total experience, including 5+ years as a Technical Account Manager / Publisher Operations professional in AdTech, Programmatic Advertising, or Digital Media
Mandatory (Experience 2) – Must have hands-on experience managing top publisher accounts or supply-side relationships; specifically publisher-side technical account handling
Mandatory (Experience 3) – Strong working knowledge of SSPs, programmatic ecosystem, ad-serving workflows, and ability to explain technical concepts clearly to non-technical stakeholders
Mandatory (Experience 4) – Proven experience in technical onboarding, integrations, troubleshooting, and providing technical assistance to publishers
Mandatory (Experience 5) – Demonstrated experience conducting live product demos, explaining features/benefits, and tailoring demos for publisher / stakeholders
Mandatory (Experience 6) – Experience collaborating closely with technical, product, customer success, and sales teams to solve client issues and drive adoption
Mandatory (Company) – Must come from an AdTech, Programmatic, SSP, Publisher-side, or Digital Media Tech organisation dealing with supply partnerships / publisher ops
don’t need any profiles with Support experience. I need very clearly SAP CO consultants with end – end Implementation experience having Product Costing knowledge
Resource should have 8 to 12 years of hands on experience in Asset Accounting, Profit Center and Cost Center Accounting, Auditing BRS, Group Reporting, Current and Non-Current Reporting.
Should have Implementation and configuration skills on SAP Controlling in SAP S/4HANA and not support.
The candidate should be able to manage and configure product costing and should possess CO integration skills with various modules like PP, PS, PM, MM and FI.
Implementation Experience of three end to End Experience. Good Client Handling and Communication Skills.
This is Work from client office position and the candidate should mandatorily work out of client location at Noida.
This position is for candidates with immediate joining
Microcode Software looking Intern for the post of Email Process Executive responsible for working as assigned by the senior.
Role - Principle Engg | Reactjs
Skill Set - Programming
- React js with Redux,
- HTML5/CSS3
- Javascript
- Mobx (optional)
- Storybook (optional)
Unit Test Cases: Jest & Enzyme
Code Quality:
- SonarQube Knowledge
- Strong hold on unit-testing frameworks and writing effective unit tests
Other Important Skills:
- Engineering & Design Skills
- Good analytical & problem solving skills
- Ability to ship features end to end without much guidance
- Experienced with Agile methodologies
Soft Skills
- Good communication skills
- Zeal to learn new technologies & Methodologies
- Good communiation skills
- Good conviencing skills
- Sales player
- maintain good relations with customer
- Follow up the clients until lead success
along with metrics to track their progress
Managing available resources such as hardware, data, and personnel so that deadlines
are met
Analysing the ML algorithms that could be used to solve a given problem and ranking
them by their success probability
Exploring and visualizing data to gain an understanding of it, then identifying
differences in data distribution that could affect performance when deploying the model
in the real world
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Defining validation strategies
Defining the pre-processing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyper parameters
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production






