--- title: 'DS / ML Engineer at Workloom' canonical: 'https://feeny.ai/job/ds-ml-engineer-workloom-bengaluru-r3c1nebjjnqs' type: 'job' last_seen: '2026-09-12' --- # DS / ML Engineer at Workloom - **Company:** Workloom - **Location:** Bengaluru, India - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-07-15 - **Last confirmed live:** 2026-09-12 - **Apply:** https://jobs.lever.co/epifi/ce14bc02-eb99-47a2-bcd2-435397096dbf ## Job description Tetriz is an AI Engineering Intelligence platform that helps engineering organizations become AI-native, faster. We measure how AI coding tools like Cursor, Claude Code, and GitHub Copilot are actually used, improve engineer effectiveness through prompt and workflow coaching, and help engineering leaders demonstrate AI ROI with board-ready, defensible insights. A builder mindset is the core of this role and where you'll spend most of your time. But we're a small team building a whole product, not a research lab. The best person here treats ML systems as their primary craft while staying willing to do whatever the product needs — thinking through the product itself, shipping backend or frontend code, untangling data pipelines. We're looking for someone energized by the breadth, not someone who wants to stay in their lane. ## What you'll work on Evaluation systems for AI features Help build the eval backbone our AI features ship against — failure taxonomies, LLM-as-judge rubrics, golden datasets, calibration against human judgment. Learn what it takes to keep automated scores honest as models and prompts change. A feature with no eval has no quality floor. Model routing & inference economics Get hands-on with how we route work across models — balancing cost, quality, and latency per task. Help run the experiments that justify those choices and catch regressions. Scoring, measurement & signal quality Work on turning noisy, real-world signals into scores you can actually trust — grounded in real statistical rigor, not vibes. Help move heuristic-driven approaches toward calibrated, monitored systems. MLOps & production Get exposure to the full lifecycle — feature pipelines, model versioning, rollout, monitoring for drift and silent quality decay. Work alongside engineering to see how models get served reliably at low latency. ## What we're looking for Must have - 1.5–2 years of hands-on experience in Data Science, Machine Learning, Software Engineering, or a related role. - Experience building and shipping DS/ML systems through professional work, personal projects, research, or open-source contributions — where you've built and run something end to end, not just notebooks. - Comfort with Python and working SQL knowledge. - Basic grounding in applied statistics — you can explain what a metric means and when it might be misleading. - A builder's instinct — genuinely curious about product decisions, backend, or frontend, not just the modeling layer. - Some exposure to LLMs — prompting, using APIs, or experimenting with model behavior. ## Nice to have - Any exposure to evaluation or observability tooling for LLM features. - Experience with information retrieval, entity-matching, or record-linkage. - Interest in developer-productivity, code analytics, or DevEx data. We aspire to create an inclusive culture of diverse people not just because it's the right thing to do but because heterogeneity inspires us and is more fun! We employ people solely on merit and do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression ## About Workloom ## Company Overview - **One-liner**: Workloom (also operating as Epifi) builds an AI Engineering Intelligence platform, Tetriz, that helps engineering organizations become AI-native by measuring, coaching, and governing the use of AI coding tools. - **Entity Type**: Private startup (seed/early stage based on job descriptions) - **Headquarters**: Bangalore, India (multiple roles listed as Bangalore) - **Founded**: Not publicly available from search results - **Founders**: Not publicly available; the team is described as the core engineering team behind Fi (a fintech neobank) and as an experienced founding team with a track record of building and scaling successful companies. ## Core Business - Primary industry: AI Engineering Intelligence / Developer Tools / DevOps & Productivity - Target customers: Engineering organizations (VP Engineering, CTOs, CPTOs) at growth-stage and scale-up companies; B2B SaaS for enterprises. - Mission or purpose: To help engineering organizations become AI-native, faster – by measuring AI tool usage, improving engineer effectiveness through coaching, and providing board-ready ROI insights. ## Products & Services - **Tetriz**: An AI Engineering Intelligence platform. It measures how AI coding tools like Cursor, Claude Code, and GitHub Copilot are actually used; provides prompt and workflow coaching to improve engineer effectiveness; and offers governance and ROI analytics for engineering leaders. - **Platform Type**: SaaS / cloud-based software. ## Market Standing - **Valuation/Market Cap**: Not disclosed. - **Key Metric**: Total funding not disclosed; the company has strong commercial momentum in India and is expanding into North America. Headcount is early-stage (small team building a whole product). - **Notable Investors/Partners**: Not publicly available from search results. - **Growth Signals**: Launching a US market presence with a dedicated GTM lead; hiring across core full-stack, DevOps, product marketing, and GTM roles; building a category-defining product in the AI engineering space. ## Competitive Advantages - First-mover or early entrant in the AI Engineering Intelligence category – a new space that combines observability, coaching, and governance for AI coding tool usage. - Product built by an experienced team that previously scaled fintech systems for over 3 million users (Fi). - AI-native workflow: the company uses LLMs and Clay-style workflows internally to research, prospect, and personalize at scale, which is also a product differentiator. - Deep focus on engineering leadership buyers (not IT or procurement), building real relationships in developer-tooling communities. ## Strategic Focus - Current priorities: Expanding the US market (hiring a Founding GTM Lead, North America); strengthening India GTM motion; building the core infrastructure for low-latency, resilient multi-agent orchestration; and defining the product category. - Long-term direction: Becoming the standard platform for engineering organizations to measure, improve, and demonstrate ROI from AI coding tools. ## Why Work Here - **Culture highlights**: Start-up environment with a strong builder mindset; team of experienced founders who built and scaled a major fintech product; emphasis on using AI leverage in all workflows. - **Remote/hybrid/office policy**: Roles are a mix – on-site (Bangalore), hybrid, and some remote. The majority of openings are on-site (83% according to one search snippet). - **Notable perks or engineering culture**: Engineers are expected to treat ML systems as their primary craft while being willing to do whatever the product needs. The selection process includes technical interviews and a take-home assignment. The company aspires to an inclusive culture and hires solely on merit. ## Sources 1. [jobera.com](https://jobera.com/employer/epifi/) – Founding GTM Lead, North America job posting 2. [lever.co](https://jobs.lever.co/epifi) – Epifi careers page (12 open positions) 3. [lever.co](https://jobs.lever.co/epifi/b12e352b-7945-41ac-a49c-783cc2ba711a) – Founding GTM Lead, North America details 4. [lever.co](https://jobs.lever.co/epifi/d29bf970-adb6-43c4-9155-03491b1b7b91) – DevOps & Infrastructure job posting 5. [lever.co](https://jobs.lever.co/epifi/f1417887-7e7f-4a03-9c39-8017752d659c) – GTM – Sales role in India ## Other roles at Workloom - [Product Marketing Intern - Tetriz](https://feeny.ai/job/product-marketing-intern-tetriz-workloom-bengaluru-nm9r9dekphqe) — Bengaluru, India - [Associate PMM — Tetriz](https://feeny.ai/job/associate-pmm-tetriz-workloom-bengaluru-z3mqs7jfgvy5) — Bengaluru, India - [Member of Technical Staff (MTS) –Senior Core Full-Stack / Backend](https://feeny.ai/job/member-of-technical-staff-mts-senior-core-full-stack-backend-workloom-bengaluru-hwc2njj9b5hg) — Bengaluru, India - [GenAI Product Builder Intern](https://feeny.ai/job/genai-product-builder-intern-workloom-bengaluru-m1wjyerqw0yd) — Bengaluru, India - [Ai Engg Intern](https://feeny.ai/job/ai-engg-intern-workloom-bengaluru-vttqp2reszpq) — Bengaluru, India - [DS/ML Intern](https://feeny.ai/job/ds-ml-intern-workloom-bengaluru-k3xhcyygdjn0) — Bengaluru, India - [GTM - sales](https://feeny.ai/job/gtm-sales-workloom-bengaluru-408htjqf3pe0) — Bengaluru, India - [Member of Technical Staff (MTS) – Core Full-Stack / Backend](https://feeny.ai/job/member-of-technical-staff-mts-core-full-stack-backend-workloom-bengaluru-s2p0g9x9h12d) — Bengaluru, India - [Member of Technical Staff (MTS) – DevOps & Infrastructure](https://feeny.ai/job/member-of-technical-staff-mts-devops-infrastructure-workloom-bengaluru-7j59kp444363) — Bengaluru, India - [Founding GTM Lead, North America](https://feeny.ai/job/founding-gtm-lead-north-america-workloom-bengaluru-10mdcze8str1) — Bengaluru, India