Qureos Mentor

Jade Global

<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