UI Designer

Job Title: AI Engineer

About the Role

We’re seeking a highly motivated AI Engineer with minimum 4 years of experience to join our team with industrial knowledge of front-end frameworks (React.js, Angular, Vue.js),backend engineering, cloud deployment and strong understanding of data structures, algorithms, APIs, and distributed systems.

Key Responsibilities

• Design, train, and deploy machine learning models for NLP, computer vision, recommendation systems, and other AI-driven use cases.
• Integrate ML models into production-ready web and mobile applications, ensuring scalability and reliability.
• Build APIs and microservices for model serving, monitoring, and scaling.
• Leverage cloud platforms (AWS, Azure, GCP) for ML workflows, containerization (Docker/Kubernetes), and CI/CD pipelines.
• Implement AI-powered features such as chatbots, personalization engines, predictive analytics, or automation systems.
• Develop and maintain ETL pipelines, data preprocessing workflows, and feature engineering processes.
• Ensure solutions meet security, compliance, and performance standards.

Skills & Qualifications

• Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn); familiarity with LangChain, Hugging Face, OpenAI API is a plus.
• Experience in model deployment, serving, and optimization (FastAPI, Flask, Django, or Node.js).
• Proficiency with databases (SQL and NoSQL: MySQL, PostgreSQL, MongoDB).
• Hands-on experience with cloud ML services (SageMaker, Vertex AI, Azure ML) and DevOps tools (Docker, Kubernetes, CI/CD).
• Knowledge of MLOps practices: model versioning, monitoring, retraining, experiment tracking.

For more details connect on seven three zero four one double eight six three six

We are looking for a detail-oriented and experienced Accounts Executive (Male or Female) to join Accounts team. The candidate will be responsible for handling day-to-day accounting operations, ensuring compliance, and supporting financial reporting.

Required Skills & Competencies:

· Strong knowledge of accounting principles and practices.

· Hands-on experience with Tally / Busy accounting software.

· Proficiency in MS Excel and MS Word.

· Good communication skills in English (written & verbal).

· Ability to work independently and meet deadlines.

· Detail-oriented with strong organizational skills.

Qualifications & Experience:

· Education: B.Com / M.Com preferred

· Experience: 4–5 years of experience in the Accounts/Finance department.

· Location Preference: Candidates from Zirakpur, Derabassi, Chandigarh, Panchkula or Mohali.

· Flexibility: Should be open to shifting to Derabassi plant within 6-7 months.

Key Responsibilities:

· Manage day-to-day accounting transactions in Busy / Tally software.

· Prepare and maintain ledgers, vouchers, invoices, and bank reconciliations.

· Assist in GST, TDS, and other statutory compliances.

· Coordinate with auditors and support during audits.

· Prepare MIS reports and support monthly closing activities.

· Handle vendor payments, accounts receivable & payable.

· Maintain employee expense records and petty cash.

· Draft business correspondence and communicate professionally via email.

· Support finance team in budgeting and forecasting activities.

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:

We are seeking a motivated and detail-oriented Assistant Project Manager with 2 to 4 years of experience to join our team. The candidate will be responsible for overseeing the planning, execution, and delivery of projects within the specified scope, budget, and timeline. This role requires strong leadership abilities, effective communication skills, and a proven track record of successfully managing projects. The candidate will collaborate with cross-functional teams to drive project success, identify and mitigate risks, and ensure stakeholder satisfaction. The ideal candidate will have a keen eye for detail, excellent organizational skills, and the ability to adapt to changing project requirements.

Key Responsibilities:

• Project Planning: Develop comprehensive project plans outlining project scope, objectives, timelines, resources, and budget allocations.

• Team Leadership: Lead and motivate cross-functional teams to achieve project goals, providing guidance, support, and direction as needed.

• Stakeholder Management: Establish and maintain relationships with project stakeholders, keeping them informed of project progress, risks, and changes.

• Risk Management: Identify potential risks and develop mitigation strategies to ensure successful project delivery.

• Resource Allocation: Allocate resources effectively to ensure optimal project performance and resource utilization.

• Budget Management: Monitor project budgets, track expenses, and ensure adherence to financial guidelines.

• Quality Assurance: Implement quality assurance processes to maintain high standards and meet project requirements.

• Communication: Facilitate effective communication among team members, stakeholders, and management, ensuring clarity and transparency throughout the project lifecycle.

• Problem Solving: Address issues and conflicts that arise during project execution promptly and effectively, seeking resolution to minimize disruptions.

• Documentation: Maintain accurate project documentation, including project plans, status reports, meeting minutes, and change requests.

• Continuous Improvement: Identify opportunities for process improvement and implement best practices to enhance project delivery efficiency.

• Closure and Evaluation: Ensure proper project closure, including post-project evaluation, lessons learned documentation, and handover of deliverables to stakeholders.

Required Qualifications:

• Bachelor's degree in business administration, project management, engineering, or a related field.

• 2-4 years of experience in project management, preferably in a relevant industry.

• Strong understanding of project management methodologies, tools, and techniques.

• Excellent organizational and time management skills, with the ability to prioritize tasks effectively.

• Exceptional leadership and interpersonal skills, with the ability to influence and motivate team members.

• Effective communication skills, both written and verbal, with the ability to convey complex ideas clearly and concisely.

• Proven track record of successfully managing projects within scope, budget, and schedule constraints.

• Proficiency in project management software and tools, such as Microsoft Project, Jira, or Trello.

• PMP or CAPM certification is a plus, but not required

We are seeking a skilled DevOps Engineer with 3+ years of experience to join our team on a permanent work-from-home basis.

Responsibilities:

• Develop and maintain infrastructure using Ansible.
• Write Ansible playbooks.
• Implement CI/CD pipelines.
• Manage GitLab repositories.
• Monitor and troubleshoot infrastructure issues.
• Ensure security and compliance.
• Document best practices.

Qualifications:

• Proven DevOps experience.
• Expertise with Ansible and CI/CD pipelines.
• Proficient with GitLab.
• Strong scripting skills.
• Excellent problem-solving and communication skills.

Regards,

Aishwarya M

Associate HR

• Developing a comprehensive content strategy across multiple platforms, including the company website and social media channels.
• Working with the content writing, graphic design, web development, and social media teams to plan, create, and distribute content
• Proofreading and editing submissions according to brand guidelines
• Performing regular content audits to ensure content is accurate, optimized, updated, and relevant to the target audience

• Generating engaging content for thought leadership pieces, websites, social platforms, and marketing collateral
• Developing and executing content marketing campaigns to drive traffic, engagement, leads, sales, and customer retention
• Developing and managing the editorial calendar to ensure deadlines are met

 Key Requirements

• A bachelor’s degree in Marketing, Journalism, English, or similar field
• Min of 2-4 years’ experience working as a content manager

• You are a creative marketing professional, preferably with a strong content creation and writing background.
• You have the ability to develop engaging content for a wide range of audiences.
• You are a creative thinker and have excellent attention to detail.
• You are organized and can deliver high-quality work within agreed timelines.
• You possess excellent written and verbal communication skills.

• Experience using popular content management systems and analytics tools (Ahrefs, Wordpress, and Google Search Console are a few examples)
• A strong grasp of UX and SEO best practices

Location              : Gurgaon

CTC                       : 30000-35000 PM

Experience          : 2-5 Years of relevant/equivalent experience

Any Specific criteria to look for in a candidate:

Work on brands as the face of the agency and contribute to the creation of digital experiences. Manage work efficiently, generate ideas collaboratively with the team, and have a passion for top-notch quality.

The Account Manager will work across multiple teams to drive engagement and ROI-led growth for the clients.

Job Description:

 - Creating a positive onboarding experience for new clients.

• - Manage daily activities and tasks for clients
• - Regularly interacting with clients through telephone calls, email communications, or face-to-face meetings.
• - Responding to clients' requests as they arise in real time
• - Maintaining an accurate record of all necessary documents pertaining to the brand.
• - Coordinate with various internal teams to deliver Creative, Data Analytics, Tech, As and Operational Services
• - Develop a relationship with clients and manage their expectations (Kudos if you can balance the two together!)
• - Upsell! Always be on a lookout to identify opportunities and convert them to grow revenue
• - Ensure that projects/scope is completed on time 
• - Coach and support team members to help them meet departmental goals
• - Take responsibility for the quality of work, the accuracy of brief and the team’s output
• - Maintain weekly, fortnightly and monthly reports 
• - Meeting clients to discuss digital marketing strategy and report on progress
• - Keep ahead of industry’s developments and apply best practices to areas of improvement
• - Maintain an orderly workflow according to priorities
• 
  

BECOME A PEOPLE’S PERSON!

• - Exhibit strong leadership skills and motivate-inspire your team members
• - Stick to the client’s brief and the agreed process to deliver effectively
• - Utilize your team’s productivity keeping the Scope Of Work and allocated budget
• - Be all ears to everyone around and mentor yourself  to get the best performance possible
• 
  

IMPROVE THE PROCESS!

• Relentlessly work on improving the internal processes while solving problems along the way
• 
  

COMMUNICATE AND COLLABORATE!

• - Manage all business communications
• - Become a link for the internal team and make sure the process is consistently followed
• - Thrive on collaboration to create killer work
• 
  

SKILLS WE DESIRE

• - Develop and maintain existing client relationships.
• - Excellent organizational and time management skills.
• - Strong digital marketing ecosystem understanding
• - Strong analytical and problem-solving skills.
• - Effective communication skills.
• - A+ presentation skills
• - Natural attention to detail
• - Foresight

Job Title: AWS-Azure Data Engineer with Snowflake

Location: Bangalore, India

Experience: 4+ years

Budget: 15 to 20 LPA

Notice Period: Immediate joiners or less than 15 days

Job Description:

We are seeking an experienced AWS-Azure Data Engineer with expertise in Snowflake to join our team in Bangalore. As a Data Engineer, you will be responsible for designing, implementing, and maintaining data infrastructure and systems using AWS, Azure, and Snowflake. Your primary focus will be on developing scalable and efficient data pipelines, optimizing data storage and processing, and ensuring the availability and reliability of data for analysis and reporting.

Responsibilities:

1. Design, develop, and maintain data pipelines on AWS and Azure to ingest, process, and transform data from various sources.
2. Optimize data storage and processing using cloud-native services and technologies such as AWS S3, AWS Glue, Azure Data Lake Storage, Azure Data Factory, etc.
3. Implement and manage data warehouse solutions using Snowflake, including schema design, query optimization, and performance tuning.
4. Collaborate with cross-functional teams to understand data requirements and translate them into scalable and efficient technical solutions.
5. Ensure data quality and integrity by implementing data validation, cleansing, and transformation processes.
6. Develop and maintain ETL processes for data integration and migration between different data sources and platforms.
7. Implement and enforce data governance and security practices, including access control, encryption, and compliance with regulations.
8. Collaborate with data scientists and analysts to support their data needs and enable advanced analytics and machine learning initiatives.
9. Monitor and troubleshoot data pipelines and systems to identify and resolve performance issues or data inconsistencies.
10. Stay updated with the latest advancements in cloud technologies, data engineering best practices, and emerging trends in the industry.

Requirements:

1. Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
2. Minimum of 4 years of experience as a Data Engineer, with a focus on AWS, Azure, and Snowflake.
3. Strong proficiency in data modelling, ETL development, and data integration.
4. Expertise in cloud platforms such as AWS and Azure, including hands-on experience with data storage and processing services.
5. In-depth knowledge of Snowflake, including schema design, SQL optimization, and performance tuning.
6. Experience with scripting languages such as Python or Java for data manipulation and automation tasks.
7. Familiarity with data governance principles and security best practices.
8. Strong problem-solving skills and ability to work independently in a fast-paced environment.
9. Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.
10. Immediate joiner or notice period less than 15 days preferred.

If you possess the required skills and are passionate about leveraging AWS, Azure, and Snowflake to build scalable data solutions, we invite you to apply. Please submit your resume and a cover letter highlighting your relevant experience and achievements in the AWS, Azure, and Snowflake domains.

Blue9 Technologies looking for a Full Stack Developer to produce scalable software solutions. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.

As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility.

If you’re also familiar with Agile methodologies, we’d like to meet you.

Responsibilities

1. Work with development teams and product managers to ideate software solutions
2. Design client-side and server-side architecture
3. Build the front-end of applications through appealing visual design
4. Develop and manage well-functioning databases and applications
5. Write effective APIs
6. Test software to ensure responsiveness and efficiency
7. Troubleshoot, debug and upgrade software
8. Create security and data protection settings
9. Build features and applications with a mobile responsive design
10. Write technical documentation
11. Work with data scientists and analysts to improve software

Requirements

1. Proven experience as a Full Stack Developer or similar role
2. Experience developing desktop and mobile applications
3. Familiarity with common stacks (.net & PHP)
4. Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
5. Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
6. Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache), and UI/UX design
7. Excellent communication and teamwork skills
8. Great attention to detail
9. Organizational skills
10. An analytical mind