Marketing Lead: The Storyteller and Growth Driver for Aivar Innovations Are you a passionate marketer who excels at turning complex technology into compelling stories? Aivar Innovations is building something incredible in the AI space, and we're looking for a Marketing Lead to own our brand voice, drive our growth, and lay the foundation for a best-in-class marketing team. This role is perfect for a hands-on leader who’s ready to build, create, and make a massive impact. Your Impactful Responsibilities As our Marketing Lead, you’ll be a force multiplier, a strategic partner, and the creative engine of our brand. You’ll be entrusted with: Crafting Our Narrative: You'll lead the charge on developing our core messaging and positioning, ensuring we stand out and connect with our audience. Your work will simplify our cutting-edge AI technology into clear, compelling value propositions. Driving Growth with Campaigns: You'll design, execute, and manage end-to-end marketing campaigns across digital and offline channels. You'll be the one building the funnels and measuring the results. Creating Unforgettable Collateral: You'll be a key player in creating the marketing materials that tell our story—from presentations and brochures to case studies and sales tools. Your work will empower our sales team and educate our customers. Owning the Content and Brand: You’ll be the champion of our brand voice. You'll work closely with our content team to develop high-impact content that resonates with our target audience. You're responsible for ensuring every piece of content strengthens our brand identity. Analyzing and Optimizing: You'll use data from our CRM and analytics tools to understand what’s working, what's not, and how we can do better. Your insights will drive our strategy. Building the Foundation: While we don't have a formal marketing "head" yet, you will operate with a high degree of autonomy, setting the standard for how our marketing function will grow. You’ll be a mentor and guide for our content team, helping to build our future. What We're Looking For Experience That Matters: You have 5+ years of experience in marketing, with at least 2 years in a leadership or senior role, preferably in the tech or SaaS industry. You’ve personally managed campaigns and created marketing collateral. A Strategic Thinker and a Doer: You're skilled in digital marketing, content creation, CRM, and analytics. You have the ability to think big picture and execute with precision. Exceptional Communicator: You’re a natural at guiding teams, communicating vision, and building strong relationships with sales, product, and leadership. The Go-Getter Attitude: You thrive in an environment where you can take ownership, experiment, and make a tangible difference.
Role Overview: As the Marketing Lead at Aivar Innovations, you will be the storyteller and growth driver for the company. Your main responsibilities will include crafting the narrative, driving growth through campaigns, creating unforgettable collateral, owning the content and brand, analyzing and optimizing marketing efforts, and building the foundation for the marketing function. Key Responsibilities: - Crafting Our Narrative: Develop core messaging and positioning to connect with the audience and simplify AI technology into compelling value propositions. - Driving Growth with Campaigns: Design, execute, and manage marketing campaigns across digital and offline channels, measuring results and building funnels. - Creating Unforgettable Collateral: Play a key role in creating marketing materials such as presentations, brochures, case studies, and sales tools to empower the sales team and educate customers. - Owning the Content and Brand: Champion the brand voice, work on high-impact content with the content team, and ensure every piece of content strengthens the brand identity. - Analyzing and Optimizing: Use data from CRM and analytics tools to understand performance, identify areas for improvement, and drive marketing strategy. - Building the Foundation: Operate autonomously to set the standard for the marketing function's growth, mentor the content team, and guide future development. Qualifications Required: - 5+ years of marketing experience, with at least 2 years in a leadership or senior role, preferably in the tech or SaaS industry. - Proficiency in digital marketing, content creation, CRM, and analytics. - Strong communication skills for guiding teams, conveying vision, and fostering relationships with sales, product, and leadership. - Proactive attitude towards taking ownership, experimenting, and making a significant impact.,
Voice AI & Real-Time Communication Engineer (Junior to Senior) Aivar Innovations Location: Coimbatore, India Experience: Professional experience must be specialized in voice AI, real-time communication systems, and conversational AI implementation for the full duration specified Job Overview Aivar Innovations is seeking Voice AI and Real-Time Communication Engineers/Architects to join our innovative team, focusing on building production-grade conversational AI systems and voice automation solutions. This role involves designing and implementing state-of-the-art voice agents that handle real-time audio processing, speech recognition, synthesis, and natural conversations at scale. As part of the Aivar Innovations team, candidates will architect voice systems capable of powering thousands of conversations daily, maintaining sub-second latency, and gracefully handling production edge cases across diverse industry verticals. Key Responsibilities Design, develop, and deploy production-grade voice AI agents using frameworks like Pipecat and LiveKit [ Build and optimize real-time voice processing pipelines with Speech-to-Text (STT) and Text-to-Speech (TTS) technologies Implement speaker diarization systems to identify and segment multiple speakers in conversations Develop voice communication infrastructure using WebRTC , WebSocket , SIP , and RTP protocols Integrate voice agents with telephony systems (Twilio, Telnyx) for inbound and outbound calling Architect low-latency, high-availability voice systems handling thousands of concurrent calls Build voice orchestration layers connecting STT, LLMs, and TTS with minimal latency Implement Voice Activity Detection (VAD), echo cancellation, and audio processing optimizations Deploy and monitor voice AI applications in production cloud environments Collaborate with product and engineering teams to define voice AI use cases and implement solutions Required Technical Skills Voice AI & Conversational Systems Hands-on experience building voice agents using Pipecat , LiveKit , or similar frameworks Deep expertise in Speech-to-Text (STT) systems: Deepgram, Whisper, AssemblyAI, Google STT, Azure Speech Proficiency with Text-to-Speech (TTS) platforms: ElevenLabs, Cartesia, Amazon Polly, Azure TTS Experience with speaker diarization and utterance segmentation for multi-speaker scenarios Knowledge of voice agent orchestration platforms (VAPI, Retell) and custom implementations Real-Time Communication Protocols Strong understanding of WebRTC architecture including ICE, STUN, TURN, SRTP Experience with SIP (Session Initiation Protocol) and RTP/RTCP for VoIP systems Proficiency in WebSocket communication for real-time bidirectional data transfer Knowledge of telephony integration, call routing logic, and media servers (FreeSWITCH, Asterisk) Audio Processing & Media Experience with audio codecs (Opus, G.711, G.729) and media streaming protocols Understanding of Voice Activity Detection (VAD) , echo cancellation, and noise suppression Knowledge of audio processing pipelines and real-time media handling [ LLM Integration & AI Deep knowledge of Large Language Models (LLMs) and optimization for low-latency responses Experience integrating conversational AI with voice pipelines (GPT-4o, Claude, etc.) Prompt engineering and conversation design for natural voice interactions Programming & Development Strong programming skills in Python (primary), TypeScript , Node.js , or Golang Proficiency with AI/ML frameworks: TensorFlow , PyTorch , Scikit-learn Experience with real-time streaming systems and distributed architectures Cloud & Infrastructure (Preferred) AWS Services: Lambda, EC2, EKS, S3, DynamoDB, Amazon Bedrock, Polly, Transcribe Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines Experience deploying voice AI systems in production with monitoring and observability Required Qualifications Specialized experience building production voice AI systems handling real customers at scale Demonstrated track record with conversational AI , voice agents , and real-time communication Portfolio showcasing voice AI implementations, including latency optimization and call handling Experience maintaining sub-second latency and handling edge cases in production voice systems Preferred Add-Ons Experience with low-code voice platforms (VAPI, Retell) and custom infrastructure development Knowledge of media servers and SFU/MCU architectures for scalable voice systems Familiarity with Indian language models for STT/TTS applications Experience with voice analytics, call transcription, and quality monitoring systems Background in VoIP development with Asterisk, FreeSWITCH, Kamailio, or OpenSIPS Certifications in speech technologies or cloud platforms (AWS, Azure) Preferred AWS Certifications While AWS certifications are not mandatory initially, candidates possessing relevant certifications will be given preference: AWS Certified Solutions Architect Associate AWS Certified Machine Learning Specialty AWS Certified Solutions Architect Professional AWS Certified AI Practitioner Essential Soft Skills Exceptional Communication: Ability to present complex voice AI architectures to technical and non-technical stakeholders Collaborative Leadership: Proven experience working with cross-functional teams including product, operations, and customer-facing roles Innovative Problem-Solving: Demonstrated ability to tackle production voice system challenges with creative solutions Bias Toward Action: Ship daily, measure success by business impact, and iterate rapidly Adaptability: Capacity to learn emerging voice AI technologies and frameworks in fast-paced environments
Job Title: DevOps Engineer Location: Coimbatore Experience Level: 3 5 years About Aivar Innovations At Aivar Innovations, we are re-imagining analytics consulting by infusing AI and machine learning into every step of digital transformation. Our mission is to deliver measurable business outcomes through intelligent, repeatable solutions. We foster a dynamic workplace built on innovation, collaboration, and growth — where every idea is valued and every individual can thrive. Role Overview We are seeking a passionate DevOps Engineer to join our growing engineering team. In this role, you’ll help bridge development and operations, ensuring seamless delivery pipelines, efficient infrastructure management, and high-performing, resilient systems. If you enjoy solving real-world problems, automating processes, and continuously learning, we’d love to meet you. Requirements Key Responsibilities Design, implement, and manage CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions. Develop and maintain Infrastructure as Code (IaC) using Terraform or AWS CloudFormation. Build, deploy, and manage containerized applications with Docker and Kubernetes. Collaborate closely with cross-functional teams to ensure smooth releases and scalable infrastructure. Monitor system performance, troubleshoot issues, and implement robust security and reliability practices. Continuously research, test, and adopt new technologies to enhance DevOps efficiency and automation. Preferred Technical Qualifications 3–5 years of experience in DevOps, system administration, or software development (internships accepted). Proficiency with container technologies (Docker, Kubernetes). Familiarity with IaC tools such as Terraform or CloudFormation. Hands-on experience with CI/CD pipelines and automation tools. Programming experience in Python, Java, or similar. Understanding of cloud services on AWS, Azure, or GCP and Eagerness to learn advanced Kubernetes concepts and troubleshooting methods. Soft Skills and Mindset Collaborative spirit with a proactive attitude toward teamwork and aligned goals. Excellent communication skills to articulate technical concepts clearly. Strong problem-solving mindset with curiosity to explore infrastructure challenges. Adaptable and motivated to stay current with evolving DevOps and cloud technologies. Team-oriented, open to feedback, and eager to share knowledge. Certifications (Optional but Preferred) Certified Kubernetes Application Developer (CKAD) or equivalent Linux Foundation certification. Any AWS, Azure, or Google Cloud certification. Beginner-level certifications in DevOps or cloud services. Why You’ll Love Working at Aivar Work on AI-driven, enterprise-scale DevOps solutions shaping the future of analytics. Thrive in a culture that values innovation, ownership, and professional growth. Collaborate with talented professionals committed to building cutting-edge technologies. Flexible hybrid environment and a supportive team that encourages creative problem-solving. Diversity and Inclusion We believe that diversity fuels innovation. At Aivar, we celebrate individuals from all backgrounds, creating an inclusive space where everyone’s voice is heard. Your unique perspective will help us invent smarter, fairer, and more impactful analytics solutions. Ready to build the future of DevOps with us? Join Aivar Innovations and help redefine how businesses harness the power of data and automation.
Are you eager to kick-start your career in DevOps and learn the latest technologies to solve complex problems? Do you enjoy hands-on problem-solving, exploring cloud technologies, and supporting innovative solutions? At Aivar, we are looking for a DevOps Engineer to join our team. In this role, you will assist in the implementation and support of DevOps practices, including containerization, orchestration, and CI/CD pipelines, while learning from industry experts. This is an exciting opportunity to grow your skills and work on transformative projects in a collaborative environment. Requirements Preferred Technical Qualifications 2 – 5 years of experience in DevOps, system administration, or software development (internship experience is acceptable). Familiarity with container technologies such as Docker and Kubernetes. Understanding of Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Knowledge of CI/CD tools like Jenkins, GitLab CI, or GitHub Actions. Programming experience in Python, Java, or another language used in DevOps workflows. Understanding of cloud platforms such as AWS, Azure, or GCP Willingness to learn advanced Kubernetes concepts and troubleshooting techniques.Preferred Soft Skills Collaboration Skills Willingness to work in cross-functional teams and support the alignment of technical solutions with business goals. Eager to learn how to work effectively with customers, engineers, and architects to deliver DevOps solutions. Effective Communication Ability to communicate technical concepts clearly to team members and stakeholders. Desire to improve documentation and presentation skills to share ideas effectively. Problem-Solving Mindset Curiosity to explore and learn solutions for infrastructure challenges in DevOps environments. Interest in learning how to diagnose and resolve issues in containerized and distributed systems. Adaptability And Continuous Learning Strong desire to learn emerging DevOps tools and practices in a dynamic environment. Commitment to staying updated with trends in cloud computing, DevOps, and Team-Oriented Approach Enthusiastic about contributing to a collaborative team environment and supporting overall project goals. Open to feedback and actively sharing knowledge to help the team grow. Certifications (Optional But Preferred) Certified Kubernetes Application Developer (CKAD) or equivalent Linux Foundation certification Any beginner-level certifications in DevOps or cloud services are a plus. Any AWS Certification Why Join Aivar? At Aivar, we are re-imagining analytics consulting by integrating AI and machine learning to create repeatable solutions that deliver measurable business outcomes. With a culture centered on innovation, collaboration, and growth, we provide opportunities to work on transformative projects across industries. About Diversity And Inclusion We believe diversity drives innovation and growth. Our inclusive environment encourages individuals of all backgrounds to contribute their unique perspectives to shape the future and analytics. Skills:- Automation, AWS CloudFormation, Cloud Computing, CI/CD, Communication Skills and Problem solving
Are you a motivated individual eager to launch your career in generative AI and learn advanced technologies? Are you a hands-on learner with an interest in large language models and emerging AI technologies? Do you possess the ability to collaborate effectively within a team environment to implement and learn technical solutions? At Aivar, we're looking for entry-level architects and engineers to learn generative AI techniques and contribute to building innovative solutions under the guidance of experienced professionals. As an Generative AI/ML Engineer, you'll learn from technology and business teams while developing solutions. You will gain hands-on experience in a fast-paced environment that contributes to innovative AI projects. Key Job Responsibilities Learn to implement large language model solutions using Amazon Web Services (AWS) Learn Generative AI frameworks (LangChain, LangSmith, HuggingFace) Support prompt engineering implementation Assist in fine-tuning pipelines for specific use cases Learn to build basic generative AI solutions for text and images Help implement RAG architectures Support MLOps/LLMOps practices Document implementations and learnings Assist in testing generative AI solutions Skills:- Problem solving, Domain management, Artificial Intelligence (AI) and Generative AI
Position Title: Senior Engineer - Cloud-Based Full Stack (Platform Engineering) Reports To: VP Engineering / Engineering Lead Location: coimbatore Experience Level: 6+ years About the Role We are seeking exceptional Full Stack Cloud Engineers to design and build the foundational platform powering Convogent AI - a enterprise-grade, multi-tenant AI accelerator serving enterprise customers in regulated industries. You will architect resilient, scalable systems handling millions of voice interactions daily while maintaining security, performance, and cost efficiency at enterprise scale. Core Responsibilities - Architect end-to-end cloud platform on AWS, designing multi-tenant systems with strong isolation, resource quotas, and billing mechanisms Build serverless and containerized backends (Python, FastAPI, Django) optimized for scalability, cost efficiency, and sub-100ms response times Design and implement robust data architectures including primary databases, multi-layered caching strategies (Redis, ElastiCache), and high-throughput message queuing (SQS, RabbitMQ, Kafka) Establish production-grade security patterns: IAM policies, encryption at-rest/in-transit, secrets management, and compliance frameworks (SOC2, HIPAA, PCI-DSS) Optimize database performance across relational (PostgreSQL) and NoSQL systems, implementing indexing, query optimization, and scaling strategies Design and implement disaster recovery patterns including multi-region failover , automated backups, and infrastructure-as-code (Terraform) Build comprehensive monitoring, logging, and alerting infrastructure ensuring 99.95%+ uptime and rapid incident response Lead engineering best practices around code quality, testing, CI/CD automation, and knowledge documentation Mentor engineers and foster a culture of operational excellence and continuous improvement Must-Have Qualifications - Python Mastery: Expert-level Python proficiency building production systems with modern frameworks (FastAPI, Django); understanding of async patterns and performance optimization. Serverless & Cloud-Native: Proven experience architecting serverless systems (AWS Lambda, API Gateway, SQS) and containerized applications with strong understanding of trade-offs. SaaS Product Experience: Prior experience building and scaling multi-tenant platforms with hands-on work on tenant isolation, resource management, and billing systems. Event-Driven Architecture: Proficiency building event-driven systems handling asynchronous, real-time data streams with low-latency requirements. Backend Development: Strong backend skills (Python, Node.js, Go, or Java) for building communication services and API integrations. Production Systems: Experience deploying and maintaining production communication systems with focus on reliability and monitoring. Nice-to-Have Qualifications Experience with LiveKit, Jitsi, or other open-source real-time communication platforms Knowledge of media servers (Asterisk, FreeSWITCH, Kamailio) and media manipulation Understanding of network optimization techniques for global deployments Experience with voice quality monitoring tools and audio analytics Familiarity with compliance requirements (HIPAA, PCI-DSS, GDPR) for communication systems Contributions to WebRTC or SIP-related open-source projects Experience with containerized deployment and orchestration of communication services Background in telecommunications or networking What You'll Work With WebRTC/SIP infrastructure with enterprise-grade monitoring and failover systems Multi-tenant communication platforms handling global traffic Integration with leading CPaaS providers and legacy telephony systems Distributed systems architecture on Kubernetes with automated scaling
Position Title: Senior AI Engineer - Agentic AI & LLM Reasoning Reports To: Engineering Lead, AI Research & Development Location: Coimbatore, Tamilnadu Experience Level: 6+ years About the Role We are seeking exceptional Senior AI Engineers to lead the development and optimization of agentic AI systems powering Velogent-Aivar's flagship agentic process automation platform for regulated industries. You will architect advanced multi-agent systems that reason, validate, and act autonomously on complex business processes like invoice processing, RFQ management, and loan approvals while maintaining strict regulatory compliance. Your work will directly impact enterprise customers who require 80%+ reduction in manual effort with 90%+ accuracy. Core Responsibilities Design and architect advanced multi-agent systems using LLM reasoning frameworks capable of autonomously executing complex, multi-step business processes Develop sophisticated prompt engineering strategies and agent orchestration patterns enabling agentic AI to reason through domain-specific business logic with explainability Implement various multi-agentic patterns including critic agents, observer agents, and specialized task agents within the ReVAct (Reason, Validate, Act) framework Build and optimize LLM reasoning pipelines supporting chain-of-thought, tree-of-thought, and graph-based reasoning approaches for complex decision-making Design validation frameworks ensuring agentic AI decisions maintain regulatory compliance and audit trail requirements in financial services, healthcare, and life sciences Implement guardrails and inspection systems detecting emergent agent behaviors and enforcing business rule boundaries Develop evaluation frameworks and benchmarking methodologies for assessing multi-agent system accuracy, consistency, and decision quality Lead integration with enterprise systems including document repositories, APIs, email systems, and knowledge bases through Model Context Protocol (MCP) standards Mentor junior engineers and establish best practices for agentic AI development and governance Stay current with latest LLM advances (GPT-4, Claude, Llama) and agentic frameworks (LangChain, CrewAI, Autogen, etc.) Must-Have Qualifications LLM Reasoning Expertise: Deep knowledge of large language model capabilities, limitations, and advanced reasoning techniques (chain-of-thought, few-shot prompting, in-context learning) Multi-Agent Architecture: Production experience designing and building multi-agent systems with understanding of agent coordination, communication patterns, and task decomposition Agentic AI Frameworks: Hands-on experience with agentic AI implementations using frameworks like LangChain, CrewAI, AutoGen, or similar; ability to architect complex agent interactions LLM Fine-Tuning & Optimization: Experience fine-tuning LLMs for domain-specific tasks, adapting models for regulatory compliance, and optimizing for inference efficiency LangFuse / Observability: Proficiency with LLM observability platforms (LangFuse, LangSmith, or equivalent) for debugging, monitoring, and optimizing multi-agent workflows Python Expertise: Advanced Python skills for implementing complex AI systems, agent frameworks, and data processing pipelines Production AI Systems: Experience deploying AI/ML systems at scale with focus on reliability, monitoring, and operational governance LLM API Integration: Deep experience working with leading LLM APIs (OpenAI, Anthropic, AWS Bedrock, open-source models) in production environments Nice-to-Have Qualifications Experience with document processing pipelines and information extraction from unstructured data (PDFs, contracts, financial documents) Knowledge of reinforcement learning from human feedback (RLHF) or similar techniques for refining agent behavior Background in natural language processing, computational linguistics, or formal reasoning systems Familiarity with regulated industry workflows (financial services, healthcare, life sciences) and compliance requirements Experience building knowledge graphs, semantic reasoning systems, or ontology-based AI applications Understanding of uncertainty quantification and confidence scoring in AI predictions Prior experience with rule-based systems or expert systems that could inform agentic design Published research or open-source contributions in LLM reasoning or multi-agent systems Knowledge of interpretable AI and explainability techniques for regulated environments What You'll Work With Advanced LLM platforms and APIs (GPT-4, Claude, Llama, Bedrock) Agentic AI frameworks (LangChain, CrewAI, AutoGen, Haystack) Document processing and knowledge management systems LLM observability tools (LangFuse, LangSmith) Multi-tenant SaaS backend infrastructure on AWS Enterprise integration patterns (APIs, email, document repositories) Model Context Protocol (MCP) for system integration Application & Next Steps Qualified candidates will participate in: Initial screening conversation with hiring manager Technical assessment or portfolio review aligned with role-specific focus Collaborative technical interview with team members Final conversation with engineering leadership
Senior Data Engineer - Data Processing & Feature Engineering Location: Coimbatore Experience Level: 6+ years About the Role We are seeking exceptional Senior Data Engineers to build the data foundation powering Velogent AI's autonomous agents. You will design and implement large-scale data ingestion, processing, and feature engineering systems that transform unstructured enterprise data (invoices, documents, transactions, RFQs) into structured, high-quality datasets. Your work enables agentic AI systems to make accurate, compliance-aware decisions while maintaining data quality, lineage, and auditability standards required by regulated industries. Core Responsibilities Design and architect end-to-end data pipelines processing large volumes of unstructured enterprise data (documents, PDFs, transaction records, email, etc.) Build sophisticated data ingestion frameworks supporting multiple data sources and formats with automated validation and quality checks Implement large-scale data processing solutions using distributed computing frameworks handling terabytes of data efficiently Develop advanced feature engineering pipelines extracting meaningful signals from unstructured data (document classification, entity extraction, semantic tagging) Design data warehousing architecture supporting both operational (near real-time) and analytical queries for agentic AI reasoning Build robust data quality frameworks ensuring high data accuracy critical for agent decision-making and regulatory compliance Implement data governance patterns including lineage tracking, metadata management, and audit trails for regulated environments Optimize data pipeline performance, reliability, and cost through intelligent partitioning, caching, and resource optimization Lead data security implementation protecting sensitive information (PII, financial data, healthcare records) with encryption and access controls Collaborate with AI engineers to understand data requirements and optimize data for model training and inference Establish best practices for data documentation, SLA management, and operational excellence Must-Have Qualifications Unstructured Data Expertise: Production experience ingesting and processing large volumes of unstructured data (documents, PDFs, images, text, logs) Large-Scale Data Processing: Advanced expertise with distributed data processing frameworks (Apache Spark, Flink, or cloud-native alternatives like AWS Glue) Feature Engineering: Deep knowledge of advanced feature engineering techniques for ML systems, including automated feature extraction and transformation Python Proficiency: Expert-level Python for data processing, ETL pipeline development, and data science workflows NLP/Text Processing: Strong background in NLP and text analysis techniques for document understanding, entity extraction, and semantic processing Data Architecture: Experience designing data warehouses, data lakes, or lakehouse architectures supporting both batch and real-time processing ETL/ELT Pipeline Design: Proven expertise building production-grade ETL/ELT pipelines with error handling, retry logic, and monitoring Cloud Data Platforms: Advanced experience with AWS data services (S3, Athena, Glue, RDS, DynamoDB) or equivalent cloud platforms Data Quality & Governance: Understanding of data quality frameworks, metadata management, and data governance practices Nice-to-Have Qualifications Experience with document parsing and layout analysis libraries (Pydantic, unstructured.io, PyPDF, etc.) Knowledge of information extraction pipelines and vector databases for semantic search Familiarity with Apache Kafka or other event streaming platforms for real-time data processing Experience with dbt (data build tool) or similar data transformation frameworks Understanding of data privacy and compliance frameworks (GDPR, HIPAA, SOC2) Experience optimizing costs in cloud data platforms through intelligent resource allocation Background in building recommendation systems or ranking systems using feature engineering Knowledge of graph databases and knowledge graphs for relationship extraction Familiarity with computer vision techniques for document analysis and processing Published work or open-source contributions in NLP, document processing, or data engineering What You'll Work With Large-scale document processing pipelines handling millions of invoices, contracts, and business documents Apache Spark and distributed computing frameworks for ETL AWS data services (S3, Glue, Athena, RDS) for data infrastructure Advanced NLP and text processing libraries (spaCy, transformers, LangChain) Vector databases and semantic search infrastructureData quality and monitoring frameworks Cloud data warehouses and data lakes on AWS Compliance and governance frameworks for regulated industries