Graphic Designer

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

Role Overview:

We are looking for a results-driven Performance Marketing Sr. Associate who will not only manage paid marketing campaigns but also take ownership of moving core business metrics such as revenue, CAC, ROAS, and contribution margins. This role requires a balance of execution, analytical thinking, and cross-functional collaboration with category, content, creative, and product teams.

Key Responsibilities:

Campaign Execution & Growth

• Independently plan, launch, and manage paid campaigns across Google Ads, Meta (Facebook, Instagram), and other digital platforms.
• Own end-to-end campaign execution from strategy to delivery, ensuring alignment with business objectives.
• Scale campaigns while maintaining efficiency on key performance indicators (CPA, ROAS, CM).

Analytics & Business Impact

• Track and analyze marketing performance not only at the campaign level (CTR, CPC, CPA, ROI) but also at the business impact level (Revenue growth, CM1, CM2, Baseline contribution).
• Perform detailed RCA (root cause analysis) for metric fluctuations and provide actionable insights to drive growth.
• Develop dashboards and reporting structures for transparent visibility of performance metrics.

Optimization & Experimentation

• Drive continuous A/B testing on creatives, audiences, landing pages, and messaging.
• Coordinate  with content and creative teams to ensure impactful storytelling that drives conversions.
• Proactively test new ideas, channels, and formats that can unlock step-jump growth.

Cross-functional Collaboration

• Work closely with category managers to align campaigns with puja calendar, seasonal spikes, and product launches.
• Collaborate with CRM, product, and influencer teams to drive multi-channel impact beyond just paid performance.
• Contribute to brainstorming and execution of branding + performance initiatives that improve baseline business metrics.

Requirements:

• 2+ years of experience in performance marketing with proven results in scaling campaigns and driving business growth.
• Strong understanding of paid media platforms ( Meta Ads Manager, etc.).
• Advanced Excel/Google Sheets skills for reporting and analysis.
• Strong analytical mindset with ability to link campaign performance to business outcomes.
• Excellent communication skills and ability to work cross-functionally.
• Problem-solving attitude with ownership to drive business results, not just campaign metrics.

Roles & Responsibilities:

• Product testing and quality assurance
• Working closely with the product team to identify, reproduce, and report issues
• Ensuring product stability, usability, and performance

Required Skills:

• Excellent communication skills (verbal & written)
• Good analytical, problem-solving, and decision-making skills
• Adaptability to changing work environments and technologies
• Eagerness to learn and grow in a SaaS product-based environment
• Basic knowledge of relevant QA/testing tools (good to have)

Accounting and Compliances

• Responsible for day to day accounting function of the organization 
• Responsible for monthly/ yearly book closing
• Responsible for all statutory compliances including TDS, RBI, MCA etc.
• Ensuring adequate controls are in place
• Managing the payroll process

Lender Management

• Accurately calculating the billing amounts 
• Managing the invoicing & collection process

Financial Planning and Analysis

• Responsible for the weekly/monthly MIS Reporting – internal as well as investor reporting 
• Analysing the variances from the forecasted numbers

Taxation

• Managing the Corporate taxes including the tax audit
• Managing in the Indirect taxes including Goods and Service Tax

Treasury

• Monitoring the day-to-day cash and bank movements to calculate the free cash flows

Job Description:

            Responsible of Monitoring Team members’ daily activity

            Responsible for Manage the team, fix performance metrics and periodical performance review

            Responsible for Effectively handle employee grievances and communicate

            Excellent English communication skills- The ability to communicate effectively is a core skill required to be a successful recruiter.

            Responsible for handling IT requirements from US based clients.

            Responsible for full-cycle recruiting: interview, offer, negotiation and closed candidates for assigned requisitions.

            Sourcing from Job Portals (Monster, Dice, Career builder, Yahoo Hot Jobs), Making job postings on the Job Portal.

            Well versed about US Terms like W2, C2C, 1099, US Visas, etc.

            Responsible to work on Contract, Permanent & C2H (Contract to Hire) positions.

            Responsible for Coordinating fulfillment of other formalities such as background check, drug test etc. leading to joining post placement.

            Responsible for achieving a good conversion ratio of submittals into interview and placement.

            Responsible for Strategy Development process which includes understanding client requirements & mapping the relevant targets.

            Must be having capability to work with a team or individually.

            Maintain close contact with candidates/Vendors/ recruiters/offshore team.

            Publish progress report to management every week.

            Updated about technologies of the Client requirements and knowledge of current IT trends.

•  Expertise in implementing and managing Devops CI/CD pipeline. ( either using Jenkins or Azure DevOps ) 
• At least one AWS or Azure Certification
• Terraform Scripting
•  Hands-on experience with git and source code management and release management.
• Experience in DevOps automation tools. And Very well versed with DevOps principles and the Agile Frameworks.
• Working knowledge of scripting using shell, Python, Gradle, Yaml, Ansible or puppet or chef.
• Working knowledge of build systems for various technologies like npm, maven etc. 
• Experience and good understanding in any of Cloud platforms like AWS, Azure or Google cloud.
• Hands on Knowledge of Docker and Kubernetes is required.
• Proficient in troubleshooting skills with proven abilities in resolving complex technical issues. Experience with working with ticketing tools (Jira & Service now)
• A programming language like Java, Go , NodeJS is a nice to have.

• Work Permit for United Kingdom ( tier 2 visa ) total duration of visa will be 5 years ( first 2 years and then 3 year extension) 
• At the end of the 5 years you will be eligible for British Citizenship by applying for Indefinite leave to remain in the UK
• Learn new technologies - We won’t ever expect you to do the same thing day in day out; we want to
• give you the chance to explore the latest techniques to solve challenging technical problems and help
• you become the best developer you can be.
• Join a growing agile team that are consistently delivering.
• Technical Development Program

• Must have good exposure working in SOAR (Security, Orchestration, Automation, Response)
• Strong knowledge in End user/ point security.
• Good hands on Cyber security like SIEM, IAM, PAM.
• Sound Knowledge into automated incident management using Demisto (or similar technology)
• Hands on creating playbooks in Python Scripting.