Digital marketing interns

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

Key Responsibilities

• Design and develop high-performance, user-friendly mobile applications using React Native
• Collaborate with cross-functional teams to define, design, and ship new features
• Write clean, scalable, and efficient code following best practices
• Integrate third-party APIs, native modules, and libraries
• Debug and resolve application issues and performance bottlenecks
• Handle end-to-end app deployment on Play Store and App Store
• Stay up to date with the latest trends in mobile development

Navtech is looking for a PHP Wordpress Developer to work on cutting edge technologies combined with an ability to be innovative while creating solutions in a team environment.

Working as PHP Wordpress Developer at Navtech, you will:

• Write reusable, testable, and efficient code. Test and debug programs.
• Participate in full development life-cycle: concept, design, build, deploy, test and release.
• Integrate user-facing elements with server-side logic.
• Integrate data storage solutions like MongoDB, MySQL etc.
• Work with product teams on new product ideas, designs, prototypes, and estimates.
• Drive a best practices approach to the continuous improvement of our products, processes, and tools.
• Write and maintain documentation for all features in development.
• Develop back-end components to improve responsiveness and overall performance.
• Implement security and data protection solutions.
• Coordinate, guide, and mentor other software engineers within the team to
• understand user requirements and provide better technical solutions.

Who Are We Looking For Exactly?

• 1-3 years of experience as a PHP Wordpress Developer.
• Knowledge of object-relational mapping (ORM).
• Able to integrate multiple data sources and databases like MySQL, PostgreSQL, MongoDB into one system.
• Familiarity with Python, JavaScript, MySQL, Apache, Nginx, APIs, HTML, etc.
• Working experience in wordpress is a plus.
• Proficient understanding of any of the code versioning tools like Git, SVN etc.
• Understanding of open source projects like Joomla, Drupal etc.
• Familiarity with NoSQL database (Redis, Cassandra).
• Ability to work in a cloud environment. Experience on AWS or Azure would be an added advantage.
• Should have a Master’s Degree /Bachelor's (BS) in computer science, Software
• Engineering, IT, Technology Management or related degrees and throughout education in English Medium.
• Should have good logical, analytical and communication skills with client interaction experience.

Why Navtech?

• Performance review and Appraisal Twice a year.
• Competitive pay package with additional bonus & benefits.
• Work with US, UK & Europe based industry renowned clients for exponential technical growth.
• Medical Insurance cover for self & immediate family.
• Work with a culturally diverse team from different geographies.

About us:

Navtech is a premier IT software and Services provider. Navtech’s mission is to increase public cloud adoption and build cloud-first solutions that become trendsetting platforms of the future. We have been recognized as the Best Cloud Service Provider at GoodFirms for ensuring good results with quality services. Here, we strive to innovate and push technology and service boundaries to provide best-in-class technology solutions to our clients at scale. We deliver to our clients globally from our state-of-the-art design and development centers in the US, Hyderabad, and Pune.

We’re a fast-growing company with clients in the United States, UK, and Europe. You will join a team of talented developers, quality engineers, product managers whose mission is to impact above 100 million people across the world with technological services by the year 2030.

We are seeking a highly skilled Senior/Lead Data Scientist with deep expertise in AI/ML/Gen AI, including Deep Learning, Computer Vision, and NLP. The ideal candidate will bring strong hands-on experience, particularly in building, fine-tuning, and deploying models, and will work directly with customers with minimal supervision.

This role requires someone who can not only lead and execute technical projects but also actively contribute to business development through customer interaction, proposal building, and RFP responses. You will be expected to take ownership of AI project execution and team leadership, while helping Tekdi expand its AI footprint.

Key Responsibilities:

Contribute to AI business growth by working on RFPs, proposals, and solutioning activities.

• Lead the team in delivering customer requirements, ensuring quality and timely execution.

Develop and fine tune advanced AI/ML models using deep learning and generative AI techniques.

• Fine-tune and optimize Large Language Models (LLMs) such as GPT, BERT, T5, and LLaMA.
• Interact directly with customers to understand their business needs and provide AI-driven solutions.
• Work with Deep Learning architectures including CNNs, RNNs, and Transformer-based models.
• Leverage NLP techniques such as summarization, NER, sentiment analysis, and embeddings.
• Implement MLOps pipelines and deploy scalable AI solutions in cloud environments (AWS, GCP, Azure).
• Collaborate with cross-functional teams to integrate AI into business applications.
• Stay updated with AI/ML research and integrate new techniques into projects.

Required Skills & Qualifications:

• Minimum 6 years of experience in AI/ML/Gen AI, with at least 3+ years in Deep Learning/Computer Vision.
• Strong proficiency in Python and popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn).
• Hands-on experience with LLMs and generative models (e.g., GPT, Stable Diffusion).
• Experience with data preprocessing, feature engineering, and performance evaluation.
• Exposure to containerization and cloud deployment using Docker, Kubernetes.
• Experience with vector databases and RAG-based architectures.
• Ability to lead teams and projects, and work independently with minimal guidance.
• Experience with customer-facing roles, proposals, and solutioning.

Educational Requirements:

• Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Information Technology, or related field.

Preferred Skills (Good to Have):

• Knowledge of Reinforcement Learning (e.g., RLHF), multi-modal AI, or time-series forecasting.
• Familiarity with Graph Neural Networks (GNNs).
• Exposure to Responsible AI (RAI), AI Ethics, or AutoML platforms.
• Contributions to open-source AI projects or publications in peer-reviewed journals.

Position Brief: Responsible for daily Visiting of Village level Retail outlets and building awareness with Farmers about the Cattle Feed, Feed Supplements & Veterinary Medicines.

Reporting Structure: Position shall reports to Area Manager Sales & Marketing.

KEY RESULT AREAS - Daily

1.      Build awareness and ensure to use Cattle Feed & Feed Supplements with Farmers.

2.      Evaluate Cattle Feed & Feed Supplements potential in the allocated Units Territory.

3.      4 P Analysis (Product, Price, Place & Promotion).

4.      Check Cattle Feed, Feed Supplements & Veterinary Medicines sales under the allocated Units Territory

5.      Milk Procurement Vs Feed & Feed Supplements ratio variation.

6.      Seasonal Variation of Sales Analysis & factors effecting purchase decision of Farmers & Agents.

7.      Marketing Strategy & How to Increase the Market Share of HNL in CF, FS & VM Sales.

8.      Engaging of potential distributor’s - district wise, dealers – Mandal / Taluk wise, sub dealers / Retailers area wise and achieving the budgeted targets.

9.      Any other Job assigned by the Management.

Key Skills:

• Ability to be flexible and work analytically in a challenging environment

· Candidate should have good communication skills on Local Language.

• Good communication (written and oral) and interpersonal skills

• Strong organizational, multi-tasking, and time-management skills

• Excellent convincing, building rapport with Farmers, Farm Owners & Village level Milk collection agents.

Note: FMCG Sales and Marketing candidates also can apply, we will train and deployee to concerned locations.

hr 7 @ heritagenutrivet.in

83 677 966 88

• Build, Train and Test multiple CNN models.
• Optimizing model training & inference by utilizing multiple GPUs and CPU cores.
• Keen interest in Life Sciences, Image processing, Genomics, Multi-omics analysis
• Interested in reading and implementing research papers of relevant field.
• Strong experience of Deep Learning frameworks TensorFlow, Keras, PyTorch.
• Strong programming skills in python and experience of Ski-Learn/NumPy libraries.
• Experience of training of Object detection Models like YOLOv3/Mask CNN and semantic segmentation models like DeepLab, Unet etc.
• Good understanding of image processing and computer vision algorithm like watershed, histogram matching etc.
• Experience of cell segmentation and membrane segmentation using CNNs (Optional)
• Individual Contributor

• Experience with image processing
• Experience required : 2-10 Years
• CTC :15-40 LPA
• Good python programming and algorithmic skill.
• Experience with deep learning model training using any known framework.
• Working knowledge of the genomics data in R&D

• Understanding of one or more omics data types (transcriptomics, metabolomics, proteomics, genomics, epigenomics etc.)
• Prior work experience as a data scientist, bioinformatician or computational biologist will be a big plus

Job Location: Pune

Experience: 2 to 5 years

Annual CTC: 400000 - 1000000 INR

Notice Period:  1 Month or Less

Skills: Flutter, Platform level iOS/Android, Mobile Application Development, SQLite.

Job Requirement:

• Desire to work in a startup environment, Fun@work culture and able to self-manage.
• Must have at least 2 years of experience in building mobile applications and built at least two Android and/or iOS apps with Flutter.
• A strong commitment to quality and willingness to learn.
• Have published one or more mobile apps in Google Play or App Store.
• Experience with third-party libraries and APIs.
• Experience working in an agile development process.
• Be proficient in using version control and continuous integration, with tools such as Bit Bucket, Git and Jenkins.
• Write clear, maintainable and testable code that you are proud of.
• Good communication skills.

Good to have: (Not Mandatory)

• Ability to take an ownership & leadership role on the team.
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies.
• Solid understanding of the full mobile development life cycle, including automated testing and building.
• Experience working in Fintech payments and eCommerce.
• General knowledge of Location Services, Maps, and other common Android/IOS libraries.
  
  

About the Role

We are looking for a Director of Product Growth to join our team and enhance our mission by setting a strong foundation for product-led growth. You will work closely with the executive team to identify strategic opportunities and prioritize tactics and collaborate closely with design and engineering to put your vision and tests in motion. We’ll look to you to own the results for our growth cycles as well as align the client experience from first-touch to churn. 

You are a leader, either in previous experience or in spirit, with a seat at the table to solve some of our most difficult problems. Your insights, analysis, and intuition will help us shape our digital products and frame how we expand our business offerings. You are a natural storyteller, love perfecting digital experiences, and quickly build empathy with your end-users.

A successful candidate for this role must require:

• Led others to impactful decisions: cross-functionally and/or as direct reports (Min 6 yrs of experience) 
• Are willing to join a startup at the growth stage to take it to the next step 
• Have experience building and growing product referral programs, engagement and activation programs, and trust-building initiatives 
• Have built up the product intuition to prioritize new growth-focused features and the marketing intuition to make them resonate with our clients 
• Have a track record of delivering business outcomes to share in your past experiences growing a consumer product or company 
• Have experience in mentoring/growing the product team 
• Want to find the path to helping millions of Indians to be healthy

If this sounds like the right career opportunity for you, we’d be happy to connect and discuss further!

About us:

Join the fastest growing health benefits platform in India. ekincare is a Series A funded startup, Operating in one of the few industries with tailwinds from COVID-19. We are at the intersection of health & insure-tech, targeting South East Asia’s multi-billion dollar corporate health benefits market. 

Trusted by   Fortune   500   companies, ekincare’s patent-pending preventive, predictive and personalized platform,  helps employers administer their health benefits efficiently, reduce health care costs by 20% and increase employees’ engagement.

Recognized for our innovations by NASSCOM (10 most innovative start-ups), Aegis Graham Bell Awards (Most innovative enterprise app) and named as the best "Healthy Workplace Brand" in the IHW Summit.

We are proud of Creating a state of the art digitization AI, that unlocks a whole new world of healthcare data, that forms the core of our recommendation engine (https://www.ekincare.com/blog/using-ai-machine-learning-to-digitize-health-records-d5c34451-1176-4f8b-a8f9-204c046ec30e" target="_blank">click to know how)

For more details about us please visit http://www.ekincare.com/" target="_blank">www.ekincare.com

What we offer in return is the opportunity to join a talented team of bright people and to also enjoy:

• 5-day work week, leave policy covering various work time off benefits including maternity and paternity leave benefits.
• Premium Group medical Insurance for the employee and 3 dependents, personal accident insurance coverage, life insurance coverage.
• Access to ekincare app with all the free access to the features like Annual Health checkup, Covid screening and test, online doctor consultation, Gym access and many more.

ekincare is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity status.

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