Senior associate- Power BI Developer (SEN01453)
Experience Requirements:
3 - 5 years
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Affine
Empower enterprise decision-making with custom AI agents, automated data foundations, and predictive analytics designed for manufacturing, retail, and hi-tech.
About Affine
Affine is a comprehensive enterprise AI and analytics platform designed to act as a strategic catalyst for digital transformation. By operating at the intersection of artificial intelligence, analytics engineering, and cloud technology, the platform offers a suite of specialized tools that solve complex business challenges. Unlike general-purpose AI tools, Affine provides a modular ecosystem that includes Agentic AI, machine learning, and computer vision tailored to specific industrial needs. Its primary purpose is to help global businesses move from raw data to actionable insights, enabling better-informed decisions through scalable, high-precision intelligence. The platform's technical core is built on specialized products such as Polycode, an AI-powered code intelligence system that helps developers analyze and secure code, and AIVA, an intelligent virtual assistant engineered for autonomous customer support. One of its standout features is the "Unified" intelligence layer, which is specifically designed to break down enterprise data silos and ensure a healthy data foundation. For search optimization, the platform offers IntelliTag, which utilizes a dual-tech approach (tagged and tagless) to deliver search precision at scale. Furthermore, the Eryl Auto-Eval tool provides context-aware quality assurance, allowing businesses to evaluate their AI systems with high reliability. Affine is best suited for large-scale organizations in sectors like Manufacturing, Retail, CPG, Gaming, Automotive, and Hi-Tech. It is particularly valuable for CTOs, data scientists, and operational leaders who need more than just out-of-the-box LLMs. The platform’s ability to handle domain-specific training using advanced methods like CPT, iRAFT, and LoRA makes it ideal for businesses requiring AI that understands their specific vocabulary and operational constraints. From automating defect detection in manufacturing to optimizing price elasticity in retail, Affine provides deep-domain expertise across various use cases. What sets Affine apart is its decade of research-driven expertise and its recognition as a Microsoft Solutions Partner in Data & AI. The platform has been awarded the NASSCOM AI Gamechangers Award, highlighting its innovation in the field. Unlike many newer AI startups, Affine offers end-to-end operational support, including MLOps, Data Ops, and infrastructure governance. This ensures that AI solutions are not just theoretical models but are fully integrated, secure, and manageable parts of the enterprise technology stack. Its commitment to "Smarter, Leaner LLMs" ensures that clients receive efficient models optimized for performance rather than bloated, generic alternatives.
Pros & cons
Pros
- Recognized as a Microsoft Solutions Partner in Data & AI.
- Offers domain-specific LLM training using CPT and LoRA for higher precision.
- Provides specialized tools for diverse needs including coding, search, and QA.
- Proven track record with awards like the NASSCOM AI Gamechangers 2022.
- Supports end-to-end operations from data engineering to infrastructure management.
Cons
- Does not provide transparent public pricing, requiring a direct sales inquiry.
- Focuses heavily on enterprise-scale solutions which may be complex for small teams.
- Requires a product demo or consultation to understand the full capabilities of individual agents.
Use cases
- Manufacturing managers can deploy computer vision agents to automate defect detection in product lines, reducing manual inspection time.
- Enterprise software teams can use Polycode to accelerate code generation, analysis, and security transformations across large repositories.
- Retailers can utilize demand forecasting and inventory optimization tools to reduce wastage and improve safety stocks in food and beverage portfolios.
- Customer support leads can implement AIVA to create autonomous, compliant workflows for handling large-scale consumer inquiries.
- Data engineers can use the Unified platform to break down organizational silos and establish a modern data foundation for analytics.
Features
- agentic ai workflows
- computer vision defect detection
- mlops infrastructure management
- domain-specific llm training
- unified data integration
- eryl auto-eval qa
- intellitag search intelligence
- polycode code intelligence
Pricing
Enterprise
Price varies
- Agentic AI Workflows
- Polycode Code Intelligence
- IntelliTag Search Logic
- Eryl Auto-Eval QA
- Unified Data Integration
- ML Operations Support
- Infrastructure Governance
- Custom LLM Training
- Product Demo Access
FAQs
What is IntelliTag and how does it improve search?
IntelliTag is an AI-driven search intelligence tool that uses a dual-tech approach, supporting both tagged and tagless methods. This allows enterprises to achieve higher precision and scale in their search capabilities across large, complex datasets.
How does Affine handle domain-specific LLM training?
Affine moves beyond generic models by using precision training techniques like Continuous Pre-training (CPT), iRAFT, and Low-Rank Adaptation (LoRA). This ensures the resulting AI is leaner and more accurate for specific industry contexts.
Does the platform support automated quality assurance for AI?
Yes, the platform includes Eryl Auto-Eval, which is designed for scalable, context-aware quality assurance. It helps enterprises evaluate AI outputs based on specific context rather than simple keyword matching.
Can Affine help with data silos in large organizations?
Yes, the Unified intelligence product is specifically designed to break down data silos within enterprises. It helps create a unified intelligence layer that ensures data is healthy and accessible for downstream analytics.
Is there support for DevOps and MLOps?
Affine provides end-to-end operational capabilities that cover Data Ops, Cloud Ops, ML Ops, and standard DevOps. This includes full infrastructure management and governance to ensure AI deployments are secure and scalable.
Open roles
All AI jobsConsultant/ Senior Associate- GenAI DevOps (CON01439)
Experience Requirements:
3 - 7 years
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Ratings & reviews
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