Data Scientists

Key Responsibilities  

1. Define and own the end-to-end automation strategy for an Android-based Instrument Cluster (AOSP/Android Automotive).
2. Design, develop, and maintain automation frameworks for UI, Android system services, boot flows, OTA validation, and Hardware-in-the-Loop (HIL) testing.
3. Automate system validation for boot performance, crashes, ANRs, memory usage, CPU/GPU performance, thermal behavior, and application launch times.
4. Validate power consumption, UI responsiveness, frame rates, Bluetooth, Wi-Fi, and network recovery scenarios.
5. Develop automated validation for CAN signals, ECU interactions, vehicle state transitions, and safety-critical display behavior.
6. Automate OTA testing, including A/B updates, rollback, recovery, and post-update stability.
7. Convert field issues into regression automation suites and support root cause analysis using logs and system traces.
8. Integrate automation into CI/CD pipelines and deliver actionable test reports with regression tracking.

Required Skills  

Mandatory  

1. 7–12+ years of experience in Test Automation for Android or Embedded Systems.
2. Strong experience with Android AOSP or Android Automotive at the system level.
3. Excellent Python programming skills for automation framework development and CI integration.
4. Hands-on expertise with:
5. UI Automator (mandatory)
6. Espresso
7. Monkey / MonkeyRunner
8. Experience with Android debugging and performance tools such as Logcat, Perfetto, Systrace, Dumpsys, and Simpleperf.
9. Strong understanding of CAN, ECUs, vehicle signals, diagnostics, and embedded system validation.
10. Experience integrating automation into Jenkins or GitLab CI pipelines.
11. Working knowledge of Java/Kotlin for Android integration.

Preferred  

1. Experience with Hardware-in-the-Loop (HIL) testing.
2. Knowledge of Android CTS, VTS, GTS, and Android Test Station (ATS).
3. Experience with OTA validation, A/B update mechanisms, and recovery testing.
4. Working knowledge of Yocto is a strong advantage.

Primary Technology Stack  

1. Languages: Python, Java/Kotlin
2. Automation: UI Automator, Espresso, Monkey/MonkeyRunner
3. Android Testing: CTS, VTS, GTS, ATS
4. Performance & Debugging: Perfetto, Systrace, Simpleperf, Dumpsys, Logcat
5. CI/CD: Jenkins, GitLab CI
6. Domain: Android Automotive, Embedded Systems, CAN, ECU, OTA, HIL

Experience: 7–12+ Years

Domain: Android Automotive | Embedded Systems | Test Automation

Apply here https://tinyurl [dot] com/3tz4tkht

About Discovered Labs

At Discovered Labs we work with $10M - $50M ARR companies to help them get more leads, users and customers from Google, Bing and AI assistants such as ChatGPT, Claude and Perplexity.

We approach marketing the way engineers approach systems: data in, insights out, feedback loops everywhere. Every decision traces back to measurable outcomes. Every workflow is designed to eliminate manual bottlenecks and compound over time.

High-level overview of our approach:

Data-driven automation: We treat marketing programs like products. We instrument everything, automate the repetitive, and focus human effort on high-leverage problems.

First principles thinking: We don't copy what others do. We understand the underlying mechanics of how search and AI systems work, then build solutions from that foundation.

Full-stack ownership: SEO and AEO rarely work as isolated tasks. We work across the entire funnel and multiple surface areas to ensure we own the outcome and clients win.

The Agency OS

We're building the first agency OS: a system where the agency's work is the software, enabling clients to gain an unfair advantage.

As Karpathy puts it, Software 3.0 automates what humans can verify. Verifiability, not capability, decides which work can safely be handed over. So every eval we write expands the set of work we can trust an agent with, and the harness isn't overhead around the product, it's what makes the product possible. Dex Horthy covers the operational half: the agents that survive contact with customers are well-engineered software with human judgement placed deliberately, and disciplined loops beat vibes.

What that looks like here: expert orchestrators, not operators. One strategist supervising a fleet of agents running real client workflows at scale, with the system surfacing what genuinely needs a human decision and staying quiet about what doesn't. Feedback loops everywhere. Every correction an expert makes becomes an eval case, and the swarm is better the next cycle.

The Team

You'll join the Automations team at Discovered Labs. We build the agent swarm: a growing fleet of agents and workflows that do real client work end to end, and the engineering that makes them trustworthy enough to let loose on it.

Your mandate is both halves of that. Expand what the swarm can do, and prove that what it does is right. That means applying hardcore engineering to a famously slippery problem: making non-deterministic systems reliable, measurable and provable. Evals that fail a build. Traces that explain a decision. Guardrails that hold when a model doesn't. Agents that know what they don't know and say so.

You'll work alongside the Automations lead, and with our AI & Data team who own the platform and tooling underneath you. You won't be building orchestration from scratch or fighting for infrastructure. It's there, and it's good. Your job is to take it the last mile.

Every agent you make provable is an agent we can put in front of a client. That's the whole game, and the ceiling on how fast this company grows.

We're a deeply technical team building the SpaceX of the AEO & SEO space. You'll work alongside engineers who have built fraud engines powering Stripe, shipped AI code review at CodeRabbit, built at Amazon, developed self-driving car systems at Aurora, and conducted AI research at Stanford. We don't have layers of management. You'll work directly with founders who can go deep on architecture, code, and product.

This Role

You'll join the Automations team, and your job is to productionise what we've built.

We have live 24/7 agents, data pipelines and workflow infrastructure. What you’ll be doing is helping us get the stack running robustly, reliably and at scale.

That means evals that catch regressions before they ship, observability that explains why an agent did what it did, provenance that traces every claim back to its source, and interfaces that let a non-engineer SEO strategist run and review the work. You'll build the harnesses and eval suites that gate agent changes in CI, the lineage and step-trace tooling that makes agent reasoning inspectable, and the surfaces the team actually uses. Then you'll close the loop: instrument the output, feed the signal back, and make the agents measurably better every cycle.

You'll also extend what agents can reach. Today they work over APIs and our own data. Next they operate real websites along withsession handling, and navigating interfaces that were never designed for machines.

The hard problem is reliability and legibility. An agent that's right 80% of the time and can't tell you which 80% is worthless. An agent that's right 95% of the time, shows its working, and flags its own uncertainty is a product.

You report to the CTO and work alongside the Automations lead, with our AI & Data team owning the platform beneath you. You own your evals, your CI, and your monitoring.

What You'll Do

Agent eval harnesses. Golden suites, deterministic checks, and online scoring that gate every agent change in CI. A regression should fail a build, not a client report.

Agent observability. Step traces, token and cost accounting, run-level SLOs, and failure taxonomies. You'll know the difference between "the agent ran" and "the agent was right."

Data lineage and provenance. Every claim an agent makes should be traceable to its source. Which inputs, which tool calls, which reasoning steps produced this output.

End-to-end agents with human review. Agents that complete real work start to finish, with a curated review surface so an expert can approve, correct, or reject, and so that correction becomes training signal.

Interfaces for non-engineers. Dashboards and controls that let the SEO team run, inspect and trust agent work without asking an engineer.

Expanding what agents can do. Agents that open pull requests against real repositories, authenticate through OAuth, and operate real sites and CMSs through the browser. Every new capability is a new class of work the swarm can take on.

Closing the loop. Turn signals we already collect, such as AI perception and citation data, into concrete client value: strategy recommendations, prioritised actions, and measurable outcomes.

Algorithms and scoring models. Not everything should be a prompt. You'll build and tune the scoring systems behind what we recommend: internal linking and semantic relevance scoring, Reddit opportunity and thread scoring, content and citation quality. These are ranking and classification problems with real feedback data behind them, and where a model beats a prompt, you build the model.

Shared, composable modules. Reusable capability blocks that both agents and workflows compose, so an improvement lands everywhere at once instead of being reimplemented per agent.

Scaling across clients. Take a workflow that works for one client and make it run reliably for many, with per-client configuration, isolation, and failure that stays contained.

The Ideal Person for This Role

A builder who ships. You care about getting working systems into production, not endless planning or polish. You've built AI systems people actually rely on.

An operator, not just an architect. You don't just design systems, you run them. You find satisfaction in making things reliable, not just making them work once in a demo.

An owner. You take responsibility for outcomes, not just tasks. When an agent silently produces bad output, you catch it, fix it, and build the eval that stops it recurring.

Maniacal about detail. This is the one that matters most here. AI has made it trivially cheap to produce a large volume of plausible-looking work, and most of that work is slop. We are building the opposite: output that holds up when a client reads it line by line. If you'd rather ship one thing that is provably right than ten that are probably fine, this is your team. If you cannon volume and let the reviewer sort it out, it isn't.

Sceptical of your own output. You assume the model is wrong until measured. You've been burned by a demo that worked and a production run that didn't, and you build accordingly.

Humble and curious. You acknowledge what you don't know, ask good questions, and genuinely want to learn. You take feedback as a gift, not a threat.

A first-principles thinker. You understand why things work, not just how. You can go five levels deep on eval design, prompt architecture, and where to put the human in the loop.

Always improving. You're not satisfied with "good enough." You actively seek ways to get better at your craft and make systems better over time.

Requirements

5+ years in software engineering, with meaningful recent time on LLM-backed or ML-backed production systems, including 2+ owning a production system end to end.

Python, React, Typescript and strong systems fundamentals. You write production services, not notebooks.

LLM application engineering in production. Agents, tool use, structured outputs, retrieval, prompt architecture. You've shipped something real that used them and stayed up.

Evaluation systems. You've built eval suites for non-deterministic systems: golden datasets, regression gates, offline and online scoring. You've thought hard about what "correct" means when there are many correct answers.

Observability for AI systems. Tracing, run inspection, cost and token accounting. Langfuse, LangSmith, Braintrust, OpenTelemetry or equivalent.

Debugging non-determinism. You can diagnose why an agent failed on run 47 of 100 and turn that into a permanent check.

Pipeline orchestration. Airflow, Dagster, Temporal or similar. Retries, idempotency, partial failure, resumption.

Third-party API integration. Auth flows, rate limits, pagination, breaking changes. Not just calling endpoints, but handling the full operational reality.

Own your infrastructure. Containers, CI/CD, deployment, monitoring, credential management. No platform team to hand off to.

Product sense for expert users. You've built tooling that domain experts, not engineers, use daily. You know that an unexplained AI output is an unusable one.

Collaborative. You'll define contracts with the engineers who own the infra beneath you. You document decisions, write clear specs, and communicate tradeoffs in writing.

Preferred Qualifications

• Browser automation or authenticated web agents (Playwright, Puppeteer, computer-use models)
• Applied ML: ranking, scoring, classification, or recommendation systems in production
• Python, React, Typescript
• Terraform, Kubernetes
• Prior experience at a fast-moving startup

What's in It for You

• Fully remote position
• Work directly with the CTO on high-impact projects
• High ownership and autonomy. No micromanagement.
• First-hand exposure to cutting-edge AI and search technology
• Your work will directly impact well-known (10M+ ARR) companies' performance
• Join a fast-growing company at the intersection of AI and marketing

Our Hiring Process

1. Application
2. Technical Deep Dive
3. Reference Checks

Apply here https://tinyurl [dot] com/3tz4tkht

Position: E-Commerce Manager

Location: Jaipur

Salary: Up to ₹50,000 per month

Experience Required: 3+ Years

Qualification: Graduate

Working Hours: 9 Hours per Day

6 Days a Week

Job Overview

The E-Commerce Manager will oversee the company’s online sales platforms, drive digital revenue growth, and enhance customer experience. The role involves coordinating with marketing, operations, and logistics teams to optimize website performance, increase conversions, and ensure smooth online operations.

Key Responsibilities

·        Platform Management

Manage day-to-day operations of all e-commerce platforms.

Oversee product listings, catalog management, merchandising, and pricing updates.

Ensure smooth functioning of the website and online marketplaces.

·        Digital Strategy

Collaborate with the marketing team for SEO, PPC, email marketing, and social media campaigns.

Plan and execute strategies to improve online visibility and sales performance.

Monitor competitor activities and market trends.

·        User Experience (UX)

Conduct regular website audits to improve navigation and mobile responsiveness.

Ensure a seamless and user-friendly checkout process.

Optimize customer journey and overall shopping experience.

·        Performance Analytics

Track and analyze KPIs such as conversion rate, bounce rate, traffic, and ROI.

Generate reports and provide data-driven recommendations for improvement.

Use analytics tools like Google Analytics and CRM systems effectively.

·        Inventory & Fulfillment

Coordinate with inventory and logistics teams to maintain stock availability.

Ensure timely order processing and delivery.

Monitor returns, refunds, and customer satisfaction metrics.

Required Skills & Qualifications

·        Proficiency in e-commerce platforms such as Shopify, Magento, WooCommerce, or Salesforce Commerce Cloud.

·        Strong understanding of digital marketing and online merchandising.

·        Experience with Google Analytics, CRM tools, and reporting systems.

·        Knowledge of inventory management and supply chain coordination.

·        Excellent communication, analytical, and problem-solving skills.

Preferred Candidate Profile

·        Strong leadership and coordination abilities.

·        Detail-oriented with a customer-focused mindset.

·        Ability to manage multiple tasks and meet deadlines efficiently.

Founding Engineer (Bangalore)

The problem:

Business enterprises overpay vendors - on every batch of invoices, on every month because the data that would catch lives in different systems. We are building an AI agent that processes invoices end-to-end, reasons across all the relevant sources, flags genuine discrepancies, and acts - without a human having to investigate each one.

What you will own

Everything engineering. Schema design to deployment to the 2am fix when something breaks in production. There is no tech lead above you. There is no platform team. There is the architecture, you, and the founders. Concretely, this means building:

• A multi-stage agentic pipeline that takes a vendor invoice and produces a structured decision - fully autonomous for clear cases, escalating to human review for genuinely ambiguous ones. We use LangGraph, but if you've built equivalent systems with Temporal, Prefect, or custom state machines with LLM orchestration, that works
• An LLM-powered extraction layer that handles real invoices - scanned PDFs, stamped documents, inconsistent layouts - and returns structured output
• A graph data model that connects invoices to various sources and can traverse those relationships to detect discrepancies
• ERP connectors, GST validation logic, and a write-back layer that closes the loop

What we need

• Strong Python. Async FastAPI, clean service boundaries, tests that actually catch bugs. You have shipped Python backends that handled real production load
• Solid Postgres. Complex queries, schema design, migrations without downtime, row-level security for multi-tenant data. pgvector is a plus - if not, you pick it up fast
• LLM API experience in production. You have called an LLM API for something that real users depended on. You know about structured output, retry logic, cost management, prompt versioning. A side project counts if it was genuinely deployed
• Comfort with graph data models. You understand when a graph is the right structure and when it is not. You do not need deep Neo4j production experience - you need to understand graph relationships conceptually and be willing to learn Cypher. It is a 2-day ramp for the right person
• Working knowledge of deployment. Deployed and operated production workloads on GCP. Cloud Run, Cloud SQL, Cloud Storage, Redis — you're comfortable across the stack. If you've done it on AWS, the translation isn't hard, but GCP is where we are
• You own things. Not "I contributed to" - you designed it, shipped it, and fixed it when it broke. That pattern needs to be visible in your history

Good to have, not mandatory

• Built an agentic pipeline with multiple stages
• Any fintech, P2P domain experience - even tangential
• Worked at a startup with under 20 people
• Has a GitHub, blog, or writeup that shows how you think about a hard technical problem

What you get

• The hardest engineering problem you would have worked on. This is not CRUD with an LLM bolted on
• Real ownership. First engineering hire. Your architectural decisions will be in this product five years from now
• Equity that matters. ESOP - Open to discussion. We are pre-seed - this is a bet, not a guarantee. We will not pretend otherwise
• No meetings tax. You work directly with the founders. The product is specified clearly. You know what you are building and why

Honest about stage: We do not have a production ready infra yet. We have a complete architecture specification and a working prototype. If you need the stability of an established engineering org, this is not the right moment. If you want to build something real from zero and own a meaningful piece of it, it is.

The founders

One of us has spent 20 years building revenue and operational engines at companies where there was no playbook - part of the pilot team that established the world's largest search company's direct sales operations in India, managed global operations for a global mobile advertising platform, scaled a B2C platform to become one of India’s leading edtech platforms and most recently worked on building an enterprise Agentic Voice AI platform. The other has spent 15 years taking AI from demo to production in domains where failure is expensive - voice, lending, and conversational systems across a Series D conversational AI company, a major telco, a Big 4, and a leading NBFC.

Two IIT/IIM alumni who have both watched AI work in enterprise, and know exactly what it takes to get it there. We are not building this product because it sounds interesting. We are building it because we have both sat across the table from CFOs who know they are losing margin and have no tool capable of doing anything about it.

Need IMMEDIATE JOINERS ONLY.

Candidate must have Experience with Language React, Angular,MobX, and SCSS .

Candidate should have Hands-on experience working with RDBMS

Candidate should have developed from scratch.

Candidate should be more stronger in Angular.

Candidate from service based companies will be preferred.

Requirements:

• Should have sound knowledge of PHP, MySQL, JQuery & javascript.
• Should know MVC framework Yii/Yii2
• Knowledge of mobile app APIs, JSON, etc.
• Knowledge of version control systems like GIT is a plus.
• Strong analytical and problem-solving skills.
• Troubleshoot and fix any issues relating to PHP programs.

Highlights:

• Working 5 days a week.
• Group Health Insurance for our employees.
• Work with a team of 200+ excellent engineers.
• Extra Compensation for Night Shifts.
• Additional Salary for an extra day spent in the office.
• Lunch buffets for all our employees.
• Yearly and quarterly awards with CASH amount, Dinner coupons, etc
• Team Dinners on Project Completion.
• Festival celebration, month end celebration and much more.

We are looking for an experienced Senior Content Writer to join our team. If you love creating high-quality and engaging content that explains things in story then you are the right fit in our team!

As a Sr. Content Marketing Manager, you will be responsible for developing and implementing the overall content strategy based on our specific goals and objectives.

1. Analyze existing source content and modify to add value to
2. Apply instructional design theory, practice, and methods
3. Coordinate with internal team-members, graphic designers, language editors, quality analysts and SMEs to complete the allotted
4. Deliver engaging content on a regular basis across several channels, including but not limited to: newsletters, articles & blogs, product collaterals, PRs, explainer videos, social media marketing, website landing pages, video, paid media, sales collateral and case

1. Plan, create, optimize, drive and execute the content strategy aligning with short-term and long-term of marketing targets and rest of the organization

1. Should be a quick learner and technically strong to pick up new technical skills

1. Conduct rigorous quality checks on every piece of content present on website and resources available to

1. Build a clear process for managing and executing the content strategy, including developing a pipeline of prioritized content, Quality checks ,

1. At both a strategic and tactical level, as a leader and an individual contributor and should be an expert storyteller also ability to handle and drive the team of atleast 5 members.

• Exp – 4 years of experience in content development
• Ability to rephrase and modify content
• Excellent verbal and written communication skills
• Ability to multitask and remain organized in a fast -paced environment
• Strong computer skills, including Microsoft Office Suite (Word, Excel and PowerPoint)
• Experience in handling team would be a plus.

Intellipaat is the leading online education provider and creates courses in collaboration with top MNCs and universities such as IBM, Microsoft, E&ICT, IIT Guwahati, etc., with more than 600,000 learners and 200+ corporates across 53+ countries learning on our platform.

Company link: http://www.intellipaat.com/">www.intellipaat.com

Location: Bangalore, Gurgaon, Work From Home

Function: Software Engineering → Mobile Development

About the company

Anaxee Digital Runners is building India's largest last-mile verification & data collection network of Digital Runners (shared feet-on-street, tech-enabled) to help Businesses & Consumers reach remotest parts of India, on-demand. We are already serving 11000 pin codes (57% of India) | Website: www.anaxee.com

Check out our company pitch (6 min video) to understand the goal-https://www.youtube.com/watch?v=7QnyJsKedz8

Job Role

As a software developer, you’ll be the brain behind crafting, developing, testing, going live and maintaining the system. You are passionate about understanding the business context for features built to drive better customer experience and adoption.

Job Location: Indore | Full Time | Experience: 2.5 yrs & above | Salary ∝ Expertise | Rs.5L ~ Rs.12L |

Responsibilities:

• Familiar with the software development life cycle (SDLC) from analysis to deployment.
• Comply with coding standards and technical design.
• Believes in a systematic approach to developing the system through clear documentation (flowcharts, layouts, &, etc) of functionality, address every use case through creative solutions.
• Adapts structured coding styles for easy review, testing, and maintainability of the code.
• Integrate the developed functionality and/or component into a fully functional system.
• Ensure unit and integration level verification plan are in place and adheres to a great quality of code at all time.
• Active participate in troubleshooting, debugging and updating current live system.
• Verify user feedback in making system more stable and easy.
• Work closely with the Product manager, designers, and other peer developers.
• Preparing technical training documents for onboarding new engineers.

Requirements

• Bachelor’s degree in computer science or equivalent practical experience.
• 2+ years of experience as a Software Engineer or Software Developer or in a relevant role.
• Smart Hands-on coder who can independently architect solutions and mentor team members.
• Solid experience in PHP, Node, Mongo, and MySQL
• Should have good Web service and Web application fundamentals
• Understanding of OOPS concepts, Persistence, Threading.
• Should have worked with HTML/ CSS/ Jquery/ Js / API.
• Knowledgeable in data structures and algorithms.
• Experience with open-source projects.
• Experience in designing interactive applications.
• A background in Engineering with sound oral and written communication skills.
• Prior experience with AWS, Azure, Google or OpenStack will be a plus.
• Hands-on a google cloud platform and Experience in Suite CRM is an added advantage.

   

Your application should include

• Details about applications you have previously worked on
• A GitHub or stack overflow profile if you have one.

What we offer

• Competitive salary, Startup Flexibility
• Great working atmosphere in a comfortable office.
• And an opportunity to get associated with a fast-growing VC funded startup.