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Staff Back End Engineer

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Bengaluru, Karnataka, India Fiddler AI Full time
Our Purpose At Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. With the rise of the internet, trust in AI has been degraded by a plethora of issues like spam, fraudulent transactions, hate speech, and online abuse. Fiddler enables organizations to get ahead of these issues by building trustworthy, transparent, and explainable AI solutions.

Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. Data Science, MLOps, and business teams use Fiddler AI to monitor, explain, analyze, and improve their AI solutions to identify performance gaps, mitigate bias, and drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the "why" and how behind model outcomes.

Fiddler AI is founded by Krishna Gade (engineering leadership at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (two-time founder with acquisitions by Samsung and PayPal and product roles at Expedia and Microsoft). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital.

Our team is motivated to unlock the AI opaque box and help society harness the power of AI. Joining us means you get to make an impact by helping reduce algorithmic bias and ensure that models in production across many different industries are transparent and ethical. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including: 2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space.

Design and build a world-class cloud platform to help enterprises monitor and analyze their ML models, covering both predictive models as well as LLM and Generative models Design enterprise-grade, scalable APIs and frameworks to run analysis and validation of customers' ML models and workflows

Develop new types of metrics and evaluation methods for quality and robustness of ML models

Recommend and implement engineering best practices, improve the functionality of existing software, and ensure that the design, application, and maintenance of software meets quality standards

Masters/Bachelor's Degree in Computer Science or equivalent

~10+ years of working experience

~ Proficiency with Python

~ Experience debugging and troubleshooting production systems

~ On call support experience

~ Experience working with common distributed systems infrastructure: Redis, Postgres, RabbitMQ, Celery, Flask

Experience working with ML models in production.

Experience with common LLM frameworks (Langchain, Llamaindex, RAG, HuggingFace, and eval frameworks like Ragas or Presidio)

Knowledge of infrastructure management (AWS / Google Cloud, Kubernetes, or equivalent on-premises technologies)

Experience building large scale distributed systems and working with columnar and vector databases