About Zamp:
We’re on a mission to change the way the world does finance.
The Problem We Are Addressing: Today, finance teams worldwide grapple with challenges of fragmentation, lack of real-time data, and manual repetitive processes. These processes are labor-intensive and time-consuming, often preventing focus on more strategic areas that could drive growth and innovation.
Fragmentation stems across multiple financial partners for banking, payments, credit, and investments - and this multiplies by country for global organizations. In addition, it is not uncommon for a mid-market enterprise company to have 25+ point SaaS vendors for various finance processes (e.g. A/P, A/R, Tax, Treasury), most of which don’t integrate with each other.
The need to navigate disparate systems, reconcile data from multiple sources, and manage routine tasks manually not only increases the risk of errors but also limits the teams’ ability to provide timely and insightful financial analysis.
The Future of Finance: We strongly believe there’s a different way. A different way for finance teams to operate. A different way for software to be built. A different way for the world to work.
We are building for a world where we enable companies to run finance on auto-pilot and scale fearlessly!
We are building a financial platform for the future - one where:
- Connectivity to banks, partners, and systems is in real-time.
- New workflows can be built on the fly through AI, dynamically customized to each user and use case - replacing the need for fragmented, vertical SaaS solutions.
- AI insights are at scale and in real-time, better than BI teams’ capability today.
- AI agent bots replace all manual and repetitive work.
This will make finance global, real-time, and intelligent. It will free up time and resources, and enable more informed decision-making. It will be magical - and bring back calm and joy to finance teams worldwide. Join us on this mission to change the way the world does finance!
About the Founder: Amit Jain, our founder, is an IIT Delhi and Stanford graduate with over 20 years of industry experience. He has held significant roles such as Managing Director at Sequoia Capital and Head of Asia Pacific at Uber. Amit's vision and leadership are steering Zamp towards a revolutionary future in finance.
About Our Investors: Zamp raised ~$22Mn in our seed funding round from notable investors including Sequoia Capital, Dara Khosrowshahi (CEO, Uber), Tony Xu (CEO, DoorDash), Marcelo Claure (ex-CEO, SoftBank International), and other prominent angel investors. Their support and belief in our vision underscore our potential to transform the financial technology landscape.
About the Role:
As an AI/ML Engineer at Zamp, you will be a catalyst for transformation, harnessing generative AI to conquer complex business challenges. Dive into cutting-edge research, crafting groundbreaking applications that revolutionize our operations. Decode proprietary data, fine-tuning models for pivotal uses like code review and customer support.
Your innovations will inspire change, turning challenges into triumphs, and shaping the future of Zamp. Join us and be the force that drives extraordinary success!
Key Responsibilities:
- Lead development of cutting-edge GenAI solutions, exploring advanced AI models such as GPT-4, and proprietary generative models
- Architect robust AI systems, integrating with enterprise IT infrastructure using cloud services and data engineering tools like Apache Kafka, Spark, and Airflow
- Optimize data pipelines for efficiency, scalability, and reliability, leveraging parallel processing, distributed computing, and cloud-based technologies as necessary
- Conduct exploratory data analysis (EDA) and feature engineering to extract relevant insights and patterns from multilingual audio and text data
- Evaluate and benchmark AI/ML models using appropriate metrics and evaluation methodologies, iterating on model design and hyperparameters to improve performance
- Document research findings, experimental results, and software development processes to contribute to project documentation and knowledge sharing within the team
- Stay updated with the latest advancements in AI/ML, signal processing, NLP, and data engineering through self-study, literature review, and participation in conferences and workshops
Qualifications & Skill Set Required:
- Experience with LLMs (GPT-4, Llama-2 etc.)
- Experience training and deploying deep learning models in production
- Good working knowledge with tools such as MLFlow, Airflow, databricks, Python, Langchain, Pytorch, Tensorflow
- We look for strong ML foundations both in traditional ML methods such as logistic regression, gradient boosted decision trees as well as neural networks
- Experience with deep learning frameworks such as tensorflow, pytorch, and other ML tools such as scikit learn, XGBoost etc
- Experience with tensorflow/pytorch and experience in using GPU for speeding up machine learning training in tensorflow/pytorch
- Familiarity with tools like Ray for efficient and parallel training and inference
- Familiarity with MLOps, model deployment, CI/CD and monitoring
- Expertise with Graph & Vector databases
- Proficiency in cloud architectures, data engineering, and security practices in AI
Join us at Zamp, where ideas lead, communication flows openly, and builders are empowered. We're transparent and believe in meritocracy. Be part of our early team, working closely with the founders, and unleash your creativity. We work hard, hustle, and aim to deliver exceptional products and experiences.
Perks:
- Competitive salaries and stock options with substantial potential upside.
- Collaborate with top talent.
- Diverse and inclusive workspace.
- Comprehensive medical insurance for employees, spouses, and children.
- A culture celebrating every victory.
- Continuous learning and skill development opportunities.
- Enjoy good food, games, and a comfortable office environment.
