Team Leader

Job Title : Senior Data Analytics Consultant

Experience : 5+ Years

Location : Remote

Job Summary :

We are hiring a Senior Data Analytics Consultant with strong expertise in Adobe Analytics and Adobe Launch to lead data-driven strategies for Nissan’s digital ecosystem.

The ideal candidate will deliver actionable insights, build scalable tracking frameworks, and collaborate with cross-functional teams.

Key Responsibilities :

• Use Adobe Analytics to analyze user behavior, build dashboards, and support customer journey insights.
• Integrate Adobe tools (Launch, Campaign) for end-to-end visibility.
• Design and manage tracking via Adobe Launch using data layers and custom JavaScript/JSON.
• Ensure accurate data capture and privacy compliance.
• Present insights to stakeholders and support data-informed decision-making.
• (Nice-to-Have) Contribute to A/B testing via Adobe Target.

Mandatory Skills :

• Adobe Analytics
• Adobe Launch
• JavaScript & JSON
• Data Layer Implementation
• Stakeholder Communication

Preferred :

• Adobe Target
• Automotive domain experience

Qualifications :

• Bachelor's in Data Science, Computer Science, or related field.
• Adobe Certifications preferred.

We are seeking a dedicated and skilled Full Stack Web Development Trainer to deliver high-quality, hands-on training to students and professionals. The ideal candidate will be passionate about teaching and capable of training learners in both frontend and backend technologies while also contributing to live development projects.

Key Responsibilities

1. Platform & Application Architecture

• Architect and oversee end-to-end platform design using GCP services (Vertex AI, Cloud Run, GKE, Pub/Sub, Firestore, BigQuery, and IAM).
• 
  
• Define the architecture for multi-tenant SaaS deployment—ensuring secure data boundaries across customers while maintaining a single codebase.
• 
  
• Collaborate closely with backend developers to optimize Node.js APIs, data pipelines, and event-driven microservices.
• 
  
• Design front-end integration flows and ensure UI/UX alignment with backend AI and agentic processes.
• 
  

2. AI / LLM / Agentic System Architecture

• Lead architecture for all AI initiatives involving RAG pipelines, AI agents, NLP, and conversational AI.
• 
  
• Evaluate and integrate LLMs and APIs from OpenAI, Google Gemini, Anthropic (Claude), Mistral, and others.
• 
  
• Define frameworks for AI agent orchestration, prompt engineering, and function/tool calling workflows using frameworks like LangChain or LlamaIndex.
• 
  
• Establish standards for vector databases (Pinecone, FAISS, Chroma), embeddings, chunking strategies, and retrieval optimization.
• 
  
• Architect an AgentOps layer for monitoring, safety filtering, and AI model governance.
• 
  

3. MLOps, PromptOps & DevOps Integration

• Implement CI/CD pipelines for AI models, prompts, and agents using Cloud Build, Terraform, and GitHub Actions.
• 
  
• Design PromptOps and MLOps pipelines to manage model lifecycle, versioning, rollback, and production promotion.
• 
  
• Define observability and monitoring mechanisms (OpenTelemetry, Cloud Monitoring, custom logs for LLM outputs).
• 
  
• Collaborate with DevOps engineers to define blue/green and canary deployments across environments.
• 
  

4. Security, Compliance & Scalability

• Design tenant-isolated data layers using IAM, VPC-SC, and KMS encryption policies to meet regulatory standards (HIPAA, GxP, GDPR).
• 
  
• Implement data governance, access control, and threat detection mechanisms for AI-driven workflows.
• 
  
• Create performance optimization strategies: GPU/TPU allocation, autoscaling policies, token budgets, response caching, and FinOps visibility.
• 
  

5. Cross-Functional Leadership

• Partner with Product Managers and Business Analysts to translate business requirements into architectural blueprints.
• 
  
• Work with UX/UI designers to ensure front-end experiences align with AI agent capabilities and backend APIs.
• 
  
• Provide architectural guidance and technical mentorship to developers, ensuring adherence to best practices across projects.
• 
  
• Contribute to platform evolution, reference architecture libraries, and reusable design patterns.
• 
  

Key Skills & Qualifications

Technical Expertise

• Strong background in cloud architecture, specifically Google Cloud Platform (GCP)—Vertex AI, Cloud Run, Cloud Storage, IAM, Pub/Sub, BigQuery, VPC, and Cloud Functions.
• 
  
• Proficiency with Node.js, TypeScript, and API development for scalable microservices.
• 
  
• Deep understanding of LLMs, AI agent frameworks, retrieval-augmented generation (RAG), and vector search.
• 
  
• Experience with LangChain, LlamaIndex, CrewAI, and Agentic AI design patterns.
• 
  
• Strong understanding of data architecture, including NoSQL/SQL databases (MongoDB, Firestore, PostgreSQL).
• 
  
• Hands-on experience with container orchestration (Docker, Kubernetes) and Infrastructure-as-Code (Terraform).
• 
  

Preferred Skills

• Prior experience designing multi-tenant SaaS platforms.
• 
  
• Exposure to frontend integration (Angular, React, or similar) and UI/UX flow understanding.
• 
  
• Knowledge of AI safety, risk frameworks, and prompt governance.
• 
  
• Strong analytical and communication skills for working across business and technical stakeholders.
• 
  
• Awareness of FinOps and cost optimization in token-based AI ecosystems.
• 
  

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, or Cloud Architecture.
• 
  
• 8–12 years of professional experience, with at least 3 years focused on AI platform architecture or enterprise-grade SaaS system design.
• 
  

Certifications in GCP Professional Cloud Architect or Machine Learning Engineer are a plus.

• Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes
• Kotlin, Java
• Important libraries include Dagger, RxJava, Realm
• MVVM Clean Architecture
• Familiarity with RESTful APIs to connect Android applications to back-end services
• Strong knowledge of Android UI design principles, patterns, and best practices
• Experience with offline storage, threading, and performance tuning
• Knowledge of the open-source Android ecosystem and the libraries available for common tasks
• Ability to understand business requirements and translate them into technical requirements
• Familiarity with cloud message APIs and push notifications
• A knack for benchmarking and optimization
• Understanding of Google’s Android design principles and interface guidelines
• Proficient understanding of code versioning tools, such as Git

Experience : 2 to 4.5 Years

BE/Btech (EEE,EC) ME/Mtech (EEE/EC)

• Strong knowledge in Embedded C, C programming

• Should have knowledge on Microcontroller / Microprocessor, ARM architecture, Memory Subsystem 

• Knowledge of communication protocols like I2C,SPI, UART, CAN ,USB, PCIE, GPIO programming 

• Good Handson Knowedge in Linux Device Driver , Debugging, System Architecture 

• Experience / good knowledge in developing boot loader, bare metal low level device drivers, testing and debugging the issues.

• Good knowledge / experience at least in one project in UBOOT, Linux device driver and BSP configuration and development in Yocto / Buildroot/ Busybox environment

• Knowledge on Linux based product development, hands-on with at least one project based on Linux with any Application Processor (MPU) 

• Embedded domain with good knowledge and hands-on of 32 bit microcontrollers (preferably Arm Cortex MO/M4/M7) 

• Should possess very Good Aptitude and Strong problem solving skills

10

• Competitive salary

• Health insurance

• Professional development opportunities

• Collaborative and innovative work environment

• Amazon & Flipkart, managing FBA inventories on affiliate platforms and reviews across platforms, managing the brand store on Amazon, maintaining price parity across platforms, coordinating with the in-house logistics teams & ensuring the stock availability in Amazon & Flipkart warehouses to avoid sale loss due to stockouts.                                                                                           

Requirement                     

• Should have exposure of working on D2C (Direct to Consumer)/B2C (Business to Consumer) brands E-commerce websites                                                                   

Skills required    

• prior experience of setting up analytics function from end to end would be desirable, skilled in SQL & data visualization,6+ years of experience in analytics function is desirable,
• Excellent communication skills,
• Calm under pressure; you have a sense of urgency but channel it into productively working through any issues                                                

• Architect, build and maintain excellent React Native applications with clean code.
• Implement pixel perfect UI's that match designs.
• Implement clean, modern, smooth animations and transitions that provide an excellent user experience.
• Integrate third-party API's.
• Write unit and integration tests.
• Release applications to the Apple and Google Play stores.
• Work with native modules when required.
• Work as part of a small team, which will include other React Native developers, a project manager, QA professional, and a designer.