
Digital Media Specialist
at Independent digital marketing solutions company. (SB1)
- Set up and run large scale PPC campaigns
- Optimize performance to increase reach, generate leads and transactions and reduce cost. (multiple optimizations in a day - if needed)
- Analyze trends, along with qualitative and quantitative data to recommend campaign changes and updates.
- Track and analyze website traffic flow and provide regular internal reports.
- Create performance reports with recommendations for improvements.
- Intra-team coordination to understand how the campaigns can yield more quality leads
- Certification is Google AdWords and Analytics is preferred
Experience:1-3 years of experience in;
- Planning, implementing, and reporting the performance of PPC campaigns for multiple clients
- Keyword research and analysis
- Media Planning
- Budget optimization
Platforms:
- Google Marketing Platform
- Specifically
- Google Adwords (Display, Mobile App, Video) and Analytics
- Bing Editor
Qualities
- Constant monitoring of the performance of multiple campaigns
- Attention to small details
- Updated on the latest trends on the above-mentioned platforms
- General Knowledge:
- Understanding of PPC Campaigns
- Understanding of advertising on Google, Facebook, Linkedin, and Twitter

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You will work as a senior AI consultant who embeds inside a customer's business. Your job is to learn how the business makes money, find the highest value problem, and build a working system that solves it.
You will not hand over a document and walk away. You will show working software early, own the roadmap, own the client relationship, and stay after go-live to run and improve the system.
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- Go where the work happens. You work onsite with the customer, in the room where decisions are made.
- Show working software early. You build a prototype in days, not a document in weeks.
- One person owns the outcome. You are the single point of accountability for the result.
- Stay after go-live. You keep running and improving the system after launch.
You are the single point of accountability. You are not a solo builder. A full KnackLabs engineering team in Hyderabad builds and runs the production systems behind you.
This role involves extended onsite deployments at client locations in other cities, sometimes up to six months at a stretch. Please apply only if you are ready for this way of working.
What you'll own
- Discovery - Learn how the customer makes money. Find the highest value problem to solve first.
- The prototype - Build a working prototype fast, using real or sample data, to prove the idea.
- The roadmap - Decide what to build, in what order, and set clear success measures tied to business outcomes.
- The build - Design and ship the production system with the Hyderabad engineering team. This includes data integration, agents, retrieval, and evaluations.
- The client relationship - Be the trusted technical contact for the customer, from engineers to senior leaders.
- Go live and after - Deploy the system, watch how it performs, fix problems, and improve it over time.
- Feedback to the product - Share what you learn in the field so our platform and internal tools get better.
What we are looking for
- Around 7 or more years of software engineering experience, including customer-facing or client delivery work.
- Experience working at a consulting or professional services firm in a client-facing delivery role.
- A full-stack development experience with strength in backend technologies.
- Strong programming skills in Python. Working knowledge of TypeScript or JavaScript.
- Production experience with large language models, including prompt engineering and agent development.
- You build with AI coding tools like Claude Code as your default way of working. You have built real apps and agents this way, not just used it for document generation or review.
- Experience building retrieval-augmented generation (RAG) systems: chunking, embeddings, vector databases, retrieval, and reranking.
- Experience building and deploying AI systems.
- Experience integrating with APIs and enterprise systems.
- Experience with at least one cloud platform (AWS, Azure, or GCP).
- Experience building evaluations to measure accuracy, safety, latency, and cost.
- Clear communication. You can explain a technical choice to an engineer and to a business leader.
- High ownership and comfort with ambiguity. You can take an unclear problem and turn it into a plan.
- Willingness to work onsite at client locations in India for extended periods, and to travel as the work needs.
Nice to have
- Experience deploying AI systems in regulated industries such as insurance, banking, or the public sector.
- Experience with on-premises or private cloud (VPC) deployments.
- Experience with observability and tracing tools such as LangSmith or Braintrust.
- Experience with data engineering and pipelines.
- A history of side projects, open source contributions, or products you shipped end-to-end.
- Experience in embedded or forward-deployed roles before.
Stack and tools
- Languages: Python and TypeScript.
- Models: Claude and other frontier or open source models, chosen to fit the customer.
- AI patterns: RAG, agents, prompt engineering, and evaluations.
- Vector and retrieval: vector databases and retrieval pipelines.
- Cloud: AWS, Azure, or GCP, on public or private cloud.
- Integration: REST APIs and enterprise system connectors.
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We are seeking a forward-thinking AI Developer with expertise in Generative AI, Machine Learning, Data Science, and Advanced Analytics. In this role, you will design, optimize, and deploy scalable AI solutions that power automation, personalization, and decision intelligence. You will closely collaborate with data engineers, product leaders, and business stakeholders to develop production-grade AI systems aligned with the latest enterprise AI trends such as LLM, prompt engineering, multimodal AI, and trustworthy/ethical AI practices.
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- Strong grounding in mathematics & applied statistics (linear algebra, probability, optimization).
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- 0–6 years of proven experience into AI development, optimization, and production deployment.
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R Developer
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Education: Any Graduate
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