11+ VCP Jobs in Delhi, NCR and Gurgaon | VCP Job openings in Delhi, NCR and Gurgaon

Role/Title: ASCP Functional consultant (Exp - 4 to 15 yrs.)

Location: Noida/Pune/Bangalore/Hyderabad/Chennai

Primary Skills/expertise: ASCP, MFG/MRP, MPS, WIP, BOM

Role & Responsibilities   

Functional Consultant with min 6-8 years of experience.

Skills –

• Oracle VCP-EBS - Advanced Supply Chain Planning (ASCP, MFG/MRP, MPS Planning Expert)

Detailed Job Description:          

• Strong experience in Oracle ASCP, MRP, MPS Planning and Manufacturing
• Good knowledge of Oracle EBS, Mfg., WIP, BOM
• Having done at least one end to end implementation of Oracle EBS Mfg. with primary focus on VCP modules
• Good knowledge of Supply Chain Management related business processes and Oracle configurations / functional setups, profile options, flex-fields, functional interfaces for R12 EBS
• Should have worked on customizations, Reports, interfaces etc. over MSC schema
• Understanding of software development methodologies, development processes, change management, and deployment procedures
• Experience with gathering user requirements, understanding and interpreting requirements specifications
• Ability to analyze, trouble shoot and effectively communicate functional details to end users
• Worked with Oracle Technical Support on SR resolution
• Self-motivated team player with ability to work independently as well as part of a team
• Strong analytical and problem-solving skills along with written and verbal communication skills
• Good to have – SQL-query knowledge, well known about VCP & Oracle-EBS Mfg. Tables, scheduling tools.
• Should have good understanding of Oracle-EBS Integrations with VCP
• Should have experience in client facing.
• Experience in working with multiple teams.
• Flexible in timings
• Expert in writing functional specifications
• Should able to understand holistic planning solution of customer
• Must have experience in Creation of different test scripts, doing testing, UAT support

Job Title : SEO & Digital Marketing Specialist - (Web3 Product/Organization) (SMO, SEO, Meta Ads / Promotions Ads / PPC)

Experience : 2+ Years

Location : Noida Sector 18

Working Days : 6 Days (Monday to Friday WFO + Saturday WFH)

Job Summary :

We are looking for a results-driven SEO & Digital Marketing Specialist with hands-on experience in Web3 products/organizations. The ideal candidate will be responsible for enhancing online visibility, executing SEO/SMO strategies, managing paid campaigns, and driving growth through effective digital marketing initiatives.

Key Responsibilities :

• Develop and implement SEO strategies (on-page, off-page, technical) to increase organic traffic.
• Plan and execute SMO strategies to strengthen brand presence across social platforms.
• Manage and optimize paid ad campaigns (Meta Ads, Promotion Ads, PPC, Google Ads) for maximum ROI.
• Conduct keyword research, competitor analysis, and performance tracking for continuous improvement.
• Work with CMS platforms (excluding WordPress) to publish, update, and optimize content.
• Collaborate with Web3 product/organization teams to create tailored marketing campaigns.
• Stay updated with Web3 industry trends, SEO algorithms, and ad platform updates.

Mandatory Skills :

• SEO (on-page, off-page, technical)
• SMO (social media optimization & engagement)
• Paid Ads (Meta Ads, Promotion Ads, PPC, Google Ads)
• CMS management (any CMS except WordPress)
• Proven experience in Web3 products/organizations marketing

We are looking for a talented and driven Data Scientist to join our growing Analytics team in India. In this role, you will work at the intersection of advanced machine learning, scalable MLOps infrastructure, and domain-specific healthcare analytics. You will collaborate closely with cross-functional teams to build, deploy, and maintain production-grade ML models that drive real-world impact in clinical trials and healthcare operations.

KEY RESPONSIBILITIES

End-to-End ML Development

•     Design, build, and optimize predictive models across the full ML lifecycle—from data ingestion to model serving.

•     Conduct rigorous Exploratory Data Analysis (EDA) to surface insights and drive feature engineering decisions.

•     Validate model performance using appropriate statistical techniques and domain knowledge.

MLOps & Production Deployment

•     Deploy, monitor, and maintain production-grade ML models using Databricks MLFlow endpoints and Unity Catalog.

•     Implement CI/CD pipelines for model versioning, experiment tracking, and automated retraining.

•     Ensure model reliability, observability, and performance in live production environments.

Language Models & LLM Applications

•     Apply transformer-based models (BERT, ClinicalBERT, Trial2Vec) for NLP tasks including classification, NER, and information extraction.

•     Build and maintain vector similarity search pipelines for semantic retrieval and recommendation use cases.

•     Fine-tune pre-trained models for domain-specific applications in clinical and healthcare contexts.

•     Support exploratory work around LLM integration and prompt engineering for internal tooling.

Domain-Driven Analytics

•     Apply advanced analytics within complex healthcare and clinical trial datasets—including patient records, trial protocols, and adverse event data.

•     Translate ambiguous business problems into structured analytical frameworks with measurable outcomes.

•     Partner with domain experts, product managers, and engineering teams to deliver data-driven solutions.

REQUIRED QUALIFICATIONS

Education

•     Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Bioinformatics, or a closely related field.

Experience

•     2–4 years of hands-on experience in a data science or machine learning role.

•     Demonstrable experience deploying ML models in production environments (not just prototyping).

Technical Skills

•     Strong proficiency in Python (pandas, NumPy, scikit-learn, PyTorch / TensorFlow).

•     Experience with Databricks, MLFlow (experiment tracking, model registry, endpoints), and Unity Catalog.

•     Hands-on experience with BERT-family models and Hugging Face Transformers library.

•     Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding-based retrieval.

•     Solid understanding of SQL and working with large structured/unstructured datasets.

•     Exposure to cloud platforms (AWS / GCP / Azure) and distributed computing frameworks (Spark).

GOOD TO HAVE

•     Prior experience with clinical trial data standards (CDISC, CDASH, SDTM) or healthcare ontologies (SNOMED, ICD-10).

•     Familiarity with Trial2Vec or similar trial-to-vector embedding approaches.

•     Experience with LLM fine-tuning, RAG pipelines, or prompt engineering in a production setting.

•     Knowledge of regulatory and compliance considerations in healthcare AI (e.g., FDA guidelines, HIPAA).

•     Contributions to open-source ML projects or published research.

THIS ROLE IS NOT FOR YOU IF…

•     You have strong SQL/BI skills but limited hands-on ML modelling experience — or you’ve built models only in notebooks without ever deploying them to production.

•     Your LLM exposure is limited to API calls and prompt engineering — with no experience fine-tuning models, working with embeddings, or building vector search pipelines.

What will you do?

●Improve customer service experience, create engaged customers, and facilitate organic growth

●Take ownership of customers’ issues and follow problems through to resolution

●Develop service procedures, policies, and standards

●Keep accurate records and document customer service actions, and discussions

●Analyze statistics and compile accurate reports

●Build, and mentor the customer service team, and nurture an environment where they can excel through encouragement and empowerment

●Keep ahead of the industry’s developments and apply best practices to areas of improvement

●Adhere to and manage the approved budget

●Maintain an orderly workflow according to priorities

You should apply if, you have

●Verbal and written proficiency in English and Vietnamese

●1-2 years of proven working experience in customer-facing roles

●Excellent knowledge of management methods and techniques

●Working knowledge of customer service software, databases, and tools

●Awareness of the industry’s latest technology trends and applications