Performance Marketing

Immediate joiner only

Create and optimize Medallion Architecture (Bronze, Silver, Gold) data models.

Required Skills:

• 8+ years of data engineering experience.

• 5+ years of experience with Microsoft Azure Data Platform technologies.

• 3+ years of hands-on experience with Microsoft Fabric.

• Experience integrating Dynamics 365 and Salesforce environments.

• Experience working with large-scale enterprise datasets (>100M records preferred).

• Design and implement scalable data platforms using Microsoft Fabric.

• Develop and maintain Data Factory pipelines, Dataflows Gen2, Notebooks, and Lakehouse solutions.

• Create and optimize Medallion Architecture (Bronze, Silver, Gold) data models.

• Develop and manage Real-Time Analytics and Event Streaming solutions.

• Implement data governance, security, monitoring, and performance optimization within Fabric.

• Support Customer Insights implementation and customer profile analytics.

• Design and implement Salesforce Sales Cloud and Data Cloud integrations with Microsoft Fabric.

• Develop scalable ingestion frameworks for Salesforce objects and metadata.

• Create unified customer profiles by consolidating Salesforce, Dynamics 365, and external data sources.

• Develop AI-enabled data solutions using Microsoft Fabric AI capabilities, Copilot, Azure OpenAI, and Microsoft AI Services.

• Build AI-driven customer insights, predictive analytics, propensity models, and recommendations.

AI Engineer — Vertexcover Labs

Who We Are

Vertexcover Labs is an employee-focused, engineer-run software studio. We partner with fast-growing, funded startups around the world—Rephrase.ai, Dhiwise, Dunzo, Dubdub, Xapo, Arintra etc.—to crack their toughest engineering problems. Everyone is an individual contributor; no management layers. Engineers choose the projects they work on, see each project's P&L, and share directly in the profits.

Whether it's building multi-agent systems for production, scaling ML pipelines across GPU clusters, or shipping RAG-powered products that end-users rely on—we solve hard AI problems for real companies.

A Few Problems We Are Currently Working On

• AI Agents Test-authoring agents that convert natural language into e2e tests.
• Ad-performance agents that learn what works for your brand and generate winning creatives automatically.
• Scale + MLOps Optimise ML pipelines and fix autoscaling by applying queuing theory while juggling CPU / GPU memory contention.
• RAG & Knowledge Systems Design and deploy retrieval-augmented generation pipelines—chunking strategies, embedding models, reranking, and evaluation loops.
• AI Video & Image Processing Build rendering pipelines, diffusion-model integrations, and real-time video processing at scale. You'll own at least one project like these—design, build, iterate.

Signals You're Probably the Right Fit

• Strong in at least one other language (Python, Go, Rust, TypeScript, Java …); happy to learn more.
• First principle understanding of how LLMs, embeddings, vector databases and AI Agents work
• Evidence of shipping real AI-powered software—OSS, side projects, or production features.
• Comfortable navigating the fast-moving AI landscape—papers, new model releases, evolving APIs.
• Clear written & spoken communication; async collaboration is our default.
• Self-directed—you ask for context, not permission.

How We Operate

• Project choice. Engineers vote on which engagements we take.
• Stack agnostic. We pick tools that fit the job, not the résumé.
• Pragmatic craftsmanship. Durable design, no gold-plating.
• Transparent economics. Know what your work is worth, share in the profits.
• Remote-native. Async by default; sync when it helps.

Hiring Process (Lean & Human)

1. 2–3 technical deep-dives with future teammates.
2. 30-minute culture chat.
3. Offer. No LeetCode marathons, no trick puzzles.

We read every application and reply to all candidates.

Mandatory skills

.net

Aws/Azure

Location Chennai

Development background

Mandatory skills

.net

Aws/Azure

Location Chennai

Development background

• Extract Transform Load (ETL) and ETL Tools skills
• Data Modeling and Data Integration expertise
• Data Warehousing knowledge
• Experience in working with SQL databases
• Strong analytical and problem-solving abilities
• Excellent communication and interpersonal skills
• Bachelor's degree in Computer Science, Information Systems, or related field
• Relevant certifications in ETL Testing or Data Warehousing

Experience/skills required

Key Qualifications

• Developer Role:
• Preferably Java 
• CI/CD - DevOps (Exposure)
• Messaging Middleware (Exposure to Kafka or any other messaging middleware)
• DB: Oracle (pref) - any other Database platforms (SQL/NoSQL)
• Server Side: Java, Spring boot Microservices
• Exposure to Any Major Cloud Platform (AWS/Azure/GCP)

Job Overview

The primary role of a candidate will be a RF Engineer. The RF engineer will be a consultant who work collaboratively with the RF product team as well as partners to provide support for all presales solution aspects of the sales cycle.

Job requirements include but are not limited to the following activities: assistance & response to RFI/RFP preparation, opportunity & account planning, relation building with Partners and Product Management teams, demonstrations, joint partner solutions etc.

Responsibilities

• Strong Focus on Customer engagements in ongoing opportunities
• Assistance to product teams throughout the sales cycles
• Lead initial solution demonstrations to customers/partners.
• Assist in pre-sales to post-sale transition to ensure smooth implementation and maximum customer satisfaction.

Job description:

• Should be ready for a full-time job working from office.
• Interest and ability to identify, document and articulate the business and technical requirements of a customer.
• Excellent in customer facing, communication and presentation skills.
• Should have clear understanding of RF, Electromagnetics, RADAR, and communication technologies.
• Good knowledge in KPI parameter analysis , having knowledge in 2G/3G/4G/5G Technology & concepts.
• Should quickly learn Technology/Product/Solution offerings Spectrum monitoring equipment.
• Should be able to provide support to customers on issues raised by them.
• Should be good in writing and quantitative skills, other Microsoft tools like Excel, Word, PowerPoint, etc.
• High level of energy, enthusiasm, persistence, discipline, and a strong desire to succeed.
• Willingness to do whatever is necessary to win .
• Ability to travel abroad as well as domestically. Should be ready to travel to clients in India regularly for demonstrations, POCs, customer presentations, installations, and commissioning.

Technical Skills

• Preferred technical experience in data collection, RF optimization, Spectrum Monitoring and Management system.
• Electronics and telecommunications engineer with CCNA or equivalent networking knowledge.
• Good understanding of computer hardware technologies and its trends in market.
• Preferred experience up to 2-5 years in presales role.
• Should have better understanding of software languages and to operate the application software.
• Experience with Database, Application integration etc. desirable.
• Should be capable in conducting demos, training, etc.