SAP EWM (Extended Warehouse Management) Consultant

About RevSure

Revsure.ai is an early-stage US VC-backed company building a go-to platform for marketing trailblazers with bold pipeline and ROI goals, offering killer insights, spot-on predictions, and actionable recommendations. The platform empowers modern demand generation teams to 3X their pipeline and confidently prove marketing ROI. Unlike legacy attribution solutions, RevSure combines full-funnel attribution with predictive intelligence and active recommendations, providing high-growth marketing teams the information they need to be more effective at every stage of the lead journey.

About Team and Role

The Data Platform team at RevSure AI is building an industry-first generic data model for storing and reporting on data from diverse sources systems that our customers use in tracking their end-to-end revenue life cycle.  Our reporting layer is being built to power real-time querying of complex RevOps metrics in a multi-tenant ecosystem.  Building all of this comes with interesting challenges in every aspect of data engineering including Data Modelling, Configurability of ETL pipelines, Entity Resolution, Metadata Management, Data Governance etc.  The role requires solid understanding of data systems and ETL patterns to design and author complex data pipelines.  Being an early member of the data team also provides a ton of learning opportunities and the chance to define and shape the architectural decisions involved in solving these challenges to help usher in a new era of Revenue Intelligence.

Work Setup

Full-time; Hybrid working - location: Bengaluru

Experience and Skills

• Have 4+ years of experience with developing data applications using big data technologies such as Hadoop, Spark, Flink, Dataflow etc.
• Experience with workflow orchestration tools such as Airflow/Luigi/Azkaban etc.
• Experience with coding languages like Python/Java/Scala
• Experience with at least one cloud platform AWS/GCP/Azure
• Hands-on experience and highly advanced knowledge of SQL, Data Modeling, ETL Development, and Data Warehousing
• Knowledge and experience with Data Management and Data Storage best practices.
• Exposure to large databases, BI applications, data quality and performance tuning
• Good to have understanding of job management, resiliency
• Good to have prior experience with Graph, Time-series databases
• Good to have some experience with GenAI and Agentic Framework

Roles and Responsibilities

• Architect highly metadata-driven data pipelines with algorithms for data deduplication, data harmonisation, fuzzy matching, identity resolution
• Design and architect relational, time series and graph databases to run OLAP queries
• Design and develop SDKs and APIs to enable configurable data consumption paradigms
• Build tools to monitor the health of the data pipelines and data infrastructure

Senior Generative AI Engineer

Job Id: QX016

About Us:

The QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for the enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights; businesses will continue to face challenges to better understand their customers and even lose them.

Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.

Job Summary:

We seek a highly experienced Senior Generative AI Engineer who focus on the development, implementation, and engineering of Gen AI applications using the latest LLMs and frameworks. This role requires hands-on expertise in Python programming, cloud platforms, and advanced AI techniques, along with additional skills in front-end technologies, data modernization, and API integration. The Senior Gen AI engineer will be responsible for building applications from the ground up, ensuring robust, scalable, and efficient solutions.

Responsibilities:

·        Build GenAI solutions such as virtual assistant, data augmentation, automated insights and predictive analytics

·        Design, develop, and fine-tune generative AI models (GANs, VAEs, Transformers).

·        Handle data preprocessing, augmentation, and synthetic data generation.

·        Work with NLP, text generation, and contextual comprehension tasks.

·        Develop backend services using Python or .NET for LLM-powered applications.

·        Build and deploy AI applications on cloud platforms (Azure, AWS, GCP).

·        Optimize AI pipelines and ensure scalability.

·        Stay updated with advancements in AI and ML.

Skills & Requirements:

• Strong knowledge of machine learning, deep learning, and NLP.
• Proficiency in Python, TensorFlow, PyTorch, and Keras.
• Experience with cloud services, containerization (Docker, Kubernetes), and AI model deployment.
• Understanding of LLMs, embeddings, and retrieval-augmented generation (RAG).
• Ability to work independently and as part of a team.
• Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related field.
• 6+ years of experience in Gen AI, or related roles.
• Experience with AI/ML model integration into data pipelines.

Core Competencies for Generative AI Engineers:

1.      Programming & Software Development

a.      Python – Proficiency in writing efficient and scalable code with strong knowledge with NumPy, Pandas, TensorFlow, PyTorch and Scikit-learn.

b.      LLM Frameworks – Experience with Hugging Face Transformers, LangChain, OpenAI API, and similar tools for building and deploying large language models.

c.      API integration such as FastAPI, Flask, RESTful API, WebSockets or Django.

d.      Knowledge of Version Control, containerization, CI/CD Pipelines and Unit Testing.

2.      Vector Database & Cloud AI Solutions

a.      Pinecone, FAISS, ChromaDB, Neo4j

b.      Azure Redis/ Cognitive Search

c.      Azure OpenAI Service

d.      Azure ML Studio Models

e.      AWS (Relevant Services)

3.      Data Engineering & Processing

1. Handling large-scale structured & unstructured datasets.
2. Proficiency in SQL, NoSQL (PostgreSQL, MongoDB), Spark, and Hadoop.
3. Feature engineering and data augmentation techniques.

4.      NLP & Computer Vision

1. NLP: Tokenization, embeddings (Word2Vec, BERT, T5, LLaMA).
2. CV: Image generation using GANs, VAEs, Stable Diffusion.
3. Document Embedding – Experience with vector databases (FAISS, ChromaDB, Pinecone) and embedding models (BGE, OpenAI, SentenceTransformers).
4. Text Summarization – Knowledge of extractive and abstractive summarization techniques using models like T5, BART, and Pegasus.
5. Named Entity Recognition (NER) – Experience in fine-tuning NER models and using pre-trained models from SpaCy, NLTK, or Hugging Face.
6. Document Parsing & Classification – Hands-on experience with OCR (Tesseract, Azure Form Recognizer), NLP-based document classifiers, and tools like LayoutLM, PDFMiner.

5.      Model Deployment & Optimization

1. Model compression (quantization, pruning, distillation).
2. Deployment using Azure CI/CD, ONNX, TensorRT, OpenVINO on AWS, GCP.
3. Model monitoring (MLflow, Weights & Biases) and automated workflows (Azure Pipeline).
4. API integration with front-end applications.

6.      AI Ethics & Responsible AI

1. Bias detection, interpretability (SHAP, LIME), and security (adversarial attacks).

7.      Mathematics & Statistics

1. Linear Algebra, Probability, and Optimization (Gradient Descent, Regularization, etc.).

8.      Machine Learning & Deep Learning

a.      Expertise in supervised, unsupervised, and reinforcement learning.

a.      Proficiency in TensorFlow, PyTorch, and JAX.

b.      Experience with Transformers, GANs, VAEs, Diffusion Models, and LLMs (GPT, BERT, T5).

Personal Attributes:

• Strong problem-solving skills with a passion for data architecture.
• Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders.
• Highly collaborative, capable of working with cross-functional teams.
• Ability to thrive in a fast-paced, agile environment while managing multiple priorities effectively.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

Ready to make an impact? Apply today and become part of the QX impact team!

 To achieve sales retail and project business targets of branches

reporting under HO.

 To achieve brand wise, location wise targets.

 To travel / meet Franchisee, Dealers & Sales teams to solve issues

related to sales, services, logistics and collections.

 To train and assess Sales and Service teams.

 To appoint Franchisee, Dealers, Sales and Service teams at locations

 To conduct review meets and present MIR.

 To promote, push, close branches as per performance.

 To design festive schemes, offers and boost sales.

 To solve all kinds of day to day issues affecting business growth.

Required

Qualification

Any Graduate with relevant background

Other Skills  Excellent communication, google spreadsheets, team leader, target

achiever, open to travel.

CTC Range

Age Bracket Above 35

Experience 10-15 Years - MEP

No. of Vacancy 1

Location Bhandup, Mumbai

15 lakhs/annum (incl incentives

• Systems: Software Design, Database Design , Magento/eCommerce, PWA
• Role: Will be responsible for design and integration of eCommerce Systems, external integrating systems and new customer touch point like WA Shop, Chat Bots, Social Commerce and Design of eCommerce backend, OMS
• Education : B.Tech – CSE, premier Engineering Institute
• Experience : 5-7 Years, High transactional website, multiple system integration, AWS, Middleware and MySQL, MongoDB, Restful API. Team player, Passion for Coding. Exposure to Magento eCommerce system design and database is desirable

• You will be part of a collaborative project team
• Will leverage several proprietary and standard tools to implement technical solutions.
• Responsible for understanding business requirements, providing estimation, developing solution, writing unit test scenarios and fixing defects for assigned applications.

• Define best strategies for product development 
• Product road maps 
• Wireframing 
• should have 15 plus years exp 

Responsibilities 
- Develop new user-facing features 
- Ensure the technical feasibility of UI/UX designs 
- Optimize application for maximum speed

Skills And Qualifications 
- 2+ years of experience in ReactJS and Redux 
- 1+ completed project of reasonable size using server-side rendering 
- Knowledge of Preact is a plus 
- Proficient understanding of web markup, including HTML5, CSS3 
- Basic understanding of server-side CSS pre-processing platforms, such as LESS and SASS 
- Good understanding of asynchronous request handling, partial page updates, and AJAX 
- Proficient understanding of cross-browser compatibility issues and ways to work around them. 
- Proficient understanding of Git