Qureos Mentor

Jade Global

Jade Global is a premier consulting, integration, and managed services partner that helps enterprises modernize, innovate, and scale. Founded in 2003 and headquartered in the US, the company has over 2,000 employees and 11 global offices. With a focus on cloud transformation, AI-led automation, and integration services, Jade Global serves more than 500 clients across North America, Europe, and APAC. The company is recognized as a Great Place to Work and has been listed as a high-growth company by Inc. 5000 for 13 consecutive years.

<div><p><b>Key Responsibilities
</b></p><ul><li>Build and deploy LLM-based GenAI applications end-to-end
</li><li>Work with multiple LLMs (OpenAI/Azure OpenAI, Gemini, Claude, LLaMA, Mistral)
</li><li>Design and implement agentic and multi-agent systems using MCP and A2A
</li><li>Develop RAG pipelines and document intelligence solutions
</li><li>Use modern GenAI frameworks (LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Google ADK, MS CoPilot)
</li><li>Build AI backend services using FastAPI and Flask
</li><li>Develop and integrate chat UIs, copilots, and dashboards with AI APIs
</li><li>Productionize, deploy, and monitor AI systems on cloud platforms
</li><li>Ensure performance, security, scalability, and Responsible AI compliance
</li></ul><p><b>Required Skills
</b></p><ul><li>Strong Python programming with FastAPI and Flask
</li><li>Solid understanding of ML, Deep Learning, NLP, and GenAI concepts
</li><li>Hands-on experience with LLMs, embeddings, and prompt engineering
</li><li>Experience designing agentic systems with MCP / A2A
</li><li>Expertise in RAG architectures and vector databases (FAISS, Pinecone, Weaviate, Chroma, Milvus)
</li><li>Working knowledge of front-end technologies: HTML, CSS, JavaScript, Stremlit; React preferred
</li><li>API design and integration (REST / WebSockets)
</li><li>Strong deployment &amp; MLOps experience: Azure / AWS / GCP, Docker, Kubernetes, CI/CD, MLflow / Azure ML / SageMaker / Vertex AI
</li></ul><p><b>Good to Have
</b></p><ul><li>Fine-tuning open-source LLMs (LoRA, PEFT, Hugging Face)
</li><li>Experience with autonomous agents and async workflows
</li><li>Exposure to RPA + Agentic AI integration
</li><li>Knowledge of AI governance, monitoring, and security</li></ul></div>

AI/ML Engineer

<div><p><b>Data Platform Architect (Microsoft Fabric)
</b></p><p>**Experience: 10+ years overall, with 2&ndash;3 years hands-on experience in Microsoft Fabric (project experience required)
<br>
**Role Type: Contractor
<br>
**Location: Pune
</p><p>## Role Overview
<br>
We are looking for an experienced Data Platform Architect to design and implement a scalable, end-to-end data platform using **Microsoft Fabric**. The role spans architecture, data engineering, modelling, analytics enablement, and integration with advanced data practices such as Medallion Architecture and AI/ML readiness.
</p><div>## Key Responsibilities
<br>
### 1) Architecture &amp; Design
<br>
<ul><li>Define end-to-end architecture for a unified data platform using Microsoft Fabric.
</li><li>Design scalable, secure, and high-performance solutions.
</li><li>Establish integration strategies across enterprise systems (ERP, CRM, SaaS).
</li><li>Enforce data governance, security, and compliance standards.
</li><li>Implement Medallion Architecture (Bronze, Silver, Gold layers) for structured data transformation and quality.
</li></ul></div><div>### 2) Data Engineering &amp; Integration
<br>
<ul><li>Build data pipelines using Data Factory and Dataflow Gen2.
</li><li>Develop ETL/ELT processes (incremental and full loads).
</li><li>Integrate and transform data into Lakehouse/Data Warehouse.
</li><li>Architect pipelines supporting both batch and real-time processing.
</li><li>Apply DataOps practices and CI/CD for pipeline automation.
</li></ul></div><div>### 3) Data Modelling
<br>
<ul><li>Design star and snowflake schemas.
</li><li>Define data standards, naming conventions, and best practices.
</li><li>Ensure data quality, consistency, and integrity.
</li><li>Apply dimensional (Kimball) and Lakehouse modelling techniques.
</li></ul></div><div>### 4) Analytics &amp; Semantic Layer
<br>
<ul><li>Develop semantic models (Power BI datasets).
</li><li>Optimize models for reporting and analytics.
</li><li>Support basic reporting and visualization needs.
</li><li>Enable self-service BI through well-structured semantic layers.
</li></ul></div><div>### 5) Performance Optimization
<br>
<ul><li>Tune pipelines, storage, and query performance.
</li><li>Apply partitioning, indexing, and cost optimization strategies.
</li><li>Handle large-scale datasets (billions of records) efficiently.
</li></ul></div><div>### 6) Collaboration &amp; Leadership
<br>
<ul><li>Translate business requirements into technical solutions.
</li><li>Guide data engineers and BI developers.
</li><li>Align architecture, engineering, and analytics teams.
</li><li>Mentor teams and enforce best practices, coding standards, and design patterns.
</li></ul></div><div>### 7) Advanced Capabilities
<br>
<ul><li>Establish metadata management, lineage tracking, and cataloging frameworks.
</li><li>Provide architectural guidance for AI/ML integration (feature stores, model pipelines).
</li><li>Ensure compliance with regulatory standards (GDPR, HIPAA, etc.).
</li></ul></div><div>## Required Skills
<br>
<ul><li>10+ years in data/solution architecture.
</li><li>2&ndash;3 years of hands-on Microsoft Fabric experience (must have delivered Fabric projects).
</li><li>Expertise in Lakehouse, Data Warehouse, Data Factory, Dataflow Gen2.
</li><li>Strong SQL and ETL/ELT development skills.
</li><li>Data modelling expertise (star/snowflake schemas, Data Vault, Medallion).
</li><li>Experience with large-scale data and performance tuning.
</li><li>Knowledge of Power BI (datasets, relationships, basic reporting).
</li><li>Understanding of data governance, security, and quality.
</li><li>Strong knowledge of Spark/PySpark for distributed data processing.
</li><li>Experience with CI/CD and DataOps in data engineering.
</li></ul></div><div>## Good to Have
<br>
<ul><li>Broader Azure ecosystem (ADF, Synapse, ADLS).
</li><li>Python / Spark / PySpark advanced use cases.
</li><li>ERP/CRM integrations.
</li><li>Power BI performance optimization.
</li><li>Familiarity with open table formats (Delta Lake, Parquet).
</li><li>Awareness of integrating ML workflows with Fabric.
</li></ul></div><div>## Success Criteria
<br>
<ul><li>Scalable and well-architected Fabric platform.
</li><li>Reliable and efficient data pipelines (batch + real-time).
</li><li>High-quality, structured data models with Medallion layering.
</li><li>Seamless data integration across enterprise systems.
</li><li>AI/ML-ready datasets and workflows.
</li><li>Fast and optimized reporting with self-service BI enablement.</li></ul></div></div>

Data Platform Architect (Microsoft Fabric)

<div>
 SCM functional Expert &amp; Demand &amp; Supply Planning1
 <br/>
 <br/>
 onsite SCM functional expert with strong expertise in Demand &amp; Supply planning, Contract Manufacturing, Inventory &amp; Costing, and integrations with contract manufacturers.
</div>


SCM functional Expert & Demand & Supply Planning

Join Jade Global and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Jade Global

About Company

AI/ML Engineer

Data Platform Architect (Microsoft Fabric)

SCM functional Expert & Demand & Supply Planning