🚀Referral Opportunity at Impact Analytics Hiring 2026 | Multiple Engineering, AI, QA & Leadership Opportunities |

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Looking for an opportunity to work with one of the fastest-growing AI/ML SaaS companies? Impact Analytics is actively hiring talented professionals across Engineering, AI, QA, Product Management, Database Engineering, DevOps, and Leadership roles. If you’re passionate about Artificial Intelligence, Data-Driven Decision Making, Cloud Technologies, Automation, and Enterprise Software, this could be your next big career move.

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🏢 Company: Impact Analytics
📍 Location: Bangalore, India
🏢 Work Model: Hybrid
💼 Employment Type: Full-Time
🚀 Industry: AI/ML SaaS, Retail Analytics & Enterprise Technology

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🔥 Open Positions – June 2026

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🤖 Senior AI Engineer

📊 Experience: 4–7 Years

Key Skills

✅ Machine Learning
✅ Artificial Intelligence
✅ Python
✅ Deep Learning
✅ NLP
✅ Generative AI
✅ Data Engineering
✅ Cloud Platforms
✅ MLOps

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📈 Senior AI Analyst

📊 Experience: 3–6 Years

Key Skills

✅ Data Analytics
✅ SQL
✅ Business Intelligence
✅ Data Visualization
✅ Machine Learning Concepts
✅ Statistical Analysis
✅ Python

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🧪 Senior QA Automation Engineer

📊 Experience: 4–7 Years

Key Skills

✅ Automation Testing
✅ Selenium
✅ Playwright
✅ Cypress
✅ API Testing
✅ REST Assured
✅ CI/CD
✅ Performance Testing
✅ Agile Methodology

Responsibilities

🔹 Design and execute automation test strategies
🔹 Develop scalable automation frameworks
🔹 Validate APIs and enterprise applications
🔹 Collaborate with development and product teams
🔹 Ensure high-quality software releases

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🚀 Lead AI Engineer

📊 Experience: 5–9 Years

Key Skills

✅ AI Architecture
✅ Machine Learning Models
✅ Generative AI
✅ Large Language Models (LLMs)
✅ Cloud AI Solutions
✅ Team Leadership

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🗄️ Lead Database Engineer

📊 Experience: 7–11 Years

Key Skills

✅ Database Design
✅ SQL Optimization
✅ Data Warehousing
✅ Performance Tuning
✅ Cloud Databases
✅ Data Architecture

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📦 Associate Product Manager

📊 Experience: 5–8 Years

Key Skills

✅ Product Management
✅ Agile Methodologies
✅ Stakeholder Management
✅ Business Analysis
✅ Product Strategy
✅ Roadmap Planning

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💡 Solution Consultant

📊 Experience: 8–12 Years

Key Skills

✅ Enterprise Solutions
✅ Customer Consulting
✅ Business Transformation
✅ Solution Architecture
✅ Analytics Platforms

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🤝 AI Success Architect

📊 Experience: 5–8 Years

Key Skills

✅ AI Solutions
✅ Customer Success
✅ Product Adoption
✅ Enterprise Architecture
✅ Stakeholder Engagement

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🏗️ Product Architect

📊 Experience: 14+ Years

Key Skills

✅ Enterprise Architecture
✅ Cloud Technologies
✅ Distributed Systems
✅ Product Engineering
✅ Technology Strategy

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⚡ Lead Performance Engineer

📊 Experience: 8+ Years

Key Skills

✅ Performance Testing
✅ JMeter
✅ Load Testing
✅ Scalability Testing
✅ System Optimization
✅ Monitoring Tools

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👨‍💼 Engineering Manager

📊 Experience: 14–17 Years

Key Skills

✅ Engineering Leadership
✅ Team Management
✅ Software Delivery
✅ Agile Transformation
✅ Technology Strategy

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☁️ Engineering Manager – DevOps

📊 Experience: 12+ Years

Key Skills

✅ DevOps
✅ AWS/Azure/GCP
✅ Kubernetes
✅ CI/CD
✅ Infrastructure Automation
✅ Cloud Architecture

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🧠 AI Technical Lead

📊 Experience: 10–15 Years

Key Skills

✅ AI/ML Platforms
✅ Technical Leadership
✅ Data Science
✅ Machine Learning Operations
✅ Solution Design

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👑 Principal AI Architect

📊 Experience: 12+ Years

Key Skills

✅ Enterprise AI Strategy
✅ AI Architecture
✅ Generative AI
✅ Machine Learning Platforms
✅ Cloud-Native Solutions

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💻 Technologies in Demand

Candidates with expertise in the following technologies will have a strong advantage:

🔹 Artificial Intelligence (AI)
🔹 Machine Learning (ML)
🔹 Generative AI
🔹 Python
🔹 SQL
🔹 Selenium
🔹 Playwright
🔹 Cypress
🔹 REST APIs
🔹 Cloud Platforms (AWS, Azure, GCP)
🔹 DevOps
🔹 Kubernetes
🔹 Docker
🔹 Data Engineering
🔹 Performance Testing
🔹 Product Management
🔹 Enterprise Architecture

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🎓 Who Should Apply?

These opportunities are ideal for professionals who:

✅ Want to work on innovative AI-driven products
✅ Enjoy solving large-scale business challenges
✅ Have strong analytical and technical skills
✅ Thrive in fast-paced startup-like environments
✅ Are passionate about technology and continuous learning
✅ Want exposure to global enterprise customers

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📈 Career Growth at Impact Analytics

Impact Analytics has established itself as a leader in AI-powered retail decision intelligence. Employees gain hands-on experience building solutions that directly influence business outcomes for global retailers. Whether you’re an AI Engineer, QA Automation Expert, Product Manager, Database Engineer, or Technology Leader, you’ll have opportunities to innovate, lead initiatives, and accelerate your professional growth while working with cutting-edge technologies.

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📩 How to Apply

📧 Email Resume: recruitments@impactanalytics.co

When applying, include:

✅ Updated Resume
✅ Current Company
✅ Total Experience
✅ Relevant Skills
✅ Current CTC
✅ Expected CTC
✅ Notice Period
✅ Preferred Role

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📌 Open Roles:
Senior AI Engineer – https://lnkd.in/g6HdjqF9
Senior AI Analyst – https://lnkd.in/gKSPcXVy
Senior QA Automation Engineer – https://lnkd.in/gZmDqrWm
Lead AI Engineer – https://lnkd.in/gRFW5E7u
Lead Database Engineer – https://lnkd.in/grPYiVVw
Associate Product Manager – https://lnkd.in/gbfw22nV
Solution Consultant – https://lnkd.in/gY_bZny5
AI Success Architect – https://lnkd.in/gbiKhhMP
Product Architect – https://lnkd.in/gnabEWgA
Lead Performance Engineer – https://lnkd.in/gPfGYA6q
Engineering Manager – https://lnkd.in/gxj-_7HA
Engineering Manager, DevOps – https://lnkd.in/gYB7KbGk
AI Technical Lead – https://lnkd.in/gAtEfGgF
Principal AI Architect – https://lnkd.in/gr-cKBP5

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🚀 Final Thoughts

Impact Analytics is offering exciting opportunities across AI, Engineering, QA Automation, Product Management, Database Engineering, Performance Engineering, DevOps, and Leadership roles. If you’re looking to work with a rapidly growing AI/ML company that is transforming the retail industry through innovation and advanced analytics, now is the perfect time to apply.

🔥 Join Impact Analytics and become part of a team that is redefining how businesses make decisions using Artificial Intelligence, Machine Learning, and Data-Driven Intelligence.

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