About Impact Analytics Impact AnalyticsTM (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing,

and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade,

setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery,

manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution,

delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention.

Here’s a link to our website: www.impactanalytics.co.

Impact Analytics builds AI-powered, Cloud-Native products and platforms. As we tackle increasingly complex backend challenges, we are looking for seasoned backend architects to collaborate with product and engineering teams in shaping the future of enterprise software.

The Impact That You Will Be Making

- Core AI/ML Skills
- Advanced machine learning and deep learning architecture
- Time-series and foundational forecasting models
- Demand forecasting, inventory forecasting, and retail planning models
- Model evaluation,



benchmarking, drift detection, and monitoring
- Scalable ML system design and MLOps

LLM / GenAI Skills
- LLM fine-tuning and domain adaptation
- Supervised Fine-Tuning, SFT
- RLHF / RLAIF workflows
- Prompt engineering and prompt evaluation
- Retrieval-Augmented Generation, RAG
- Agentic AI architecture
- Guardrails, hallucination reduction, and LLM safety
- Architecture Skills
- End-to-end AI platform architecture
- Cloud-native AI systems on AWS, Azure, or GCP
- Distributed training and inference optimization
- Vector databases and semantic search
- Model serving, latency optimization, and cost optimization
- Data lakehouse / feature store architecture
- Leadership Skills
- AI strategy and roadmap ownership
- Technical leadership for senior ML engineers and data scientists
- Cross-functional collaboration with product, engineering, and business teams
- Executive communication and solution storytelling
- Architecture governance and best-practice definition

Preferred Tools / Technologies

- Python, PyTorch, TensorFlow
- Hugging Face, LangChain, LlamaIndex
- MLflow, Kubeflow, Airflow
- Databricks, Snowflake, Spark
- Kubernetes, Docker
- OpenAI, Anthropic, Gemini,



open-source LLMs
- Vector DBs: Pinecone, Weaviate, FAISS, Milvus

What lands you in this role
- 12+ years of total Experience, 5+ years of AI/ML, data science, or enterprise architecture and

architecting production ML systems.
- Hands-on experience with forecasting and GenAI/LLM systems.
- Proven record of taking AI products from prototype to production.

What We Offer
- Opportunity to lead large, high-impact projects for global Fortune 500 clients.
- Work in a high-growth startup environment with a flat, collegial culture.
- Best-in-class remuneration and benefits.
- A platform for personal and qualified growth with ownership and autonomy.

Some Of Our Accolades Include

- Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years:

2020-2024.
- Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive

years: 2018-2024.
- Voted #1 by more than 300 retailers worldwide in the RIS Software Leader Board 2024 report.

Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.
- Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI

tools.
- Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning

assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.

📌 AI Architect (Bengaluru)
🏢 Impact Analytics
📍 Bengaluru