We are seeking a Backend and Data Processing Engineer to join our team. In this role, you will be responsible to develop CRM system on AWS for data integration from each ERP system and connecting with the messaging hub system. You will work closely with front-end developers, data scientists, and other stakeholders to ensure that our systems are scalable, reliable, and performant. You will be responsible in creating a robust and secure AWS-based data lake by collecting diverse data sources and standardization. Experience Level: 3 ~ 4 years. Key Responsibilities: Standardize data and store/manage it in an AWS-based data lake. Collect customer data such as reservations, memberships, and payments from ERP systems across various locations. Implement automation for data pipelines and data consistency verification logic. Design marketing triggers based on customer journeys and implement automated scenario execution logic. Integrate with internal messaging hub systems to automatically send personalized SMS, emails, and notifications. Design structures for collecting data on message delivery results and user responses. Required Skill Set: Proficiency in backend development using Python, Node.js, etc. Experience designing and developing RESTful APIs. Skilled in SQL-based data analysis and database design. Experience in collecting and standardizing data from external systems such as ERP. Familiarity with ETL automation and scheduling. Experience in integrating with messaging systems. Qualifications: Bachelor or Master's degree in Computer Science or related field. Relevant backend and data pipeline building experience is crucial. Prior experience on CRM systems development / integration is preferred for this position

Job Description: We are looking for a self-motivated, highly skilled and experienced AI/ML Engineer to be part of our growing team. You will be responsible for developing and deploying cutting-edge machine learning models to solve real-world problems. Your responsibilities will include data preparation, model training, evaluation, and deployment, as well as collaborating with data scientists and software engineers to ensure our AI solutions are effective and scalable. As a Machine Learning Engineer, you will be responsible for developing and optimizing pipelines for both inference and training processes. Your expertise will be crucial in Amazon SageMaker, you need to build, train, and deploy machine learning and foundation models at scale with infrastructure. Experience Level: ~ 4 years. Key Responsibilities: Utilize AI solutions and tools provided by AWS to build segmentation models based on customer behavior and usage patterns. Automatically generate periodic reports. Develop functionality for defining reusable segmentation criteria tailored to marketing objectives. Required Skill Set: Hands-on experience with AWS S3, Lambda, Glue, SageMaker, Athena, QuickSight, etc. Python programming, conceptual understanding of ML algorithms, deep learning techniques, and prior experience with AWS is required. Understanding of serverless architectures and event-driven processing flows. Prior experience in working AI solutions and tools provided by AWS is must. Qualifications: Bachelor or Master's degree in Computer Science or related field. Prior Industry Experience in machine learning frameworks or projects is must.

We are looking for a skilled and creative Generative AI Engineer with 2 to 3 years of experience to join our AI/ML team. You will work on designing, fine-tuning, and deploying generative models (text, image, audio, or multi-modal) that power next-gen AI applications across business verticals. This is a hands-on role requiring a solid understanding of deep learning, model training/inference pipelines, and deployment best practices. Key Responsibilities • Build and fine-tune generative models using transformer architectures (e.g., GPT, LLaMA, T5, BERT) and diffusion models (e.g., Stable Diffusion). • Integrate LLMs into production workflows using APIs or custom backends. • Design and implement Retrieval-Augmented Generation (RAG) systems using vector databases like FAISS, Qdrant, or Pinecone. • Optimize prompt engineering and chain-of-thought logic for domain-specific tasks. • Evaluate model outputs for accuracy, relevance, hallucination rate, and latency. • Collaborate with product and engineering teams to turn prototypes into scalable systems. • Contribute to model monitoring, drift detection, and feedback loops for continual improvement. Required Skills • 23 years of experience working with machine learning models, with a focus on generative AI. • Proficient in Python and libraries such as PyTorch, TensorFlow, Transformers (Hugging Face). • Hands-on experience with OpenAI API, LangChain, or LlamaIndex. • Familiarity with vector databases (FAISS, Qdrant, Pinecone) and embedding models. • Strong understanding of LLM behavior, including prompt design, token limits, and context handling. • Experience deploying models using FastAPI, Docker, and cloud platforms (AWS, GCP, or Azure). • Good grasp of model evaluation, explainability, and safety techniques. Preferred Qualifications • Experience with multimodal AI (e.g., text-to-image, text-to-audio). • Exposure to MLOps workflows, CI/CD for ML pipelines. • Contributions to open-source AI projects or research papers. • Knowledge of privacy-preserving AI, RLHF, or federated learning is a plus.

Senior Ad Operations Executive Location: Bangalore, In-office role Exp: 3 to 4 years Role Overview We are seeking a highly motivated and experienced Senior Ad Operations Executive to join our growing team. In this role, you will take ownership of end-to-end campaign delivery,ensure operational excellence, and support the optimisation of programmatic advertising campaigns. You will play a critical role in driving performance, supporting sales efforts, and helping shape the future of decentralised advertising. Key Responsibilities Collaborate with internal teams to understand client objectives and translate them into effective programmatic strategies. Set up, monitor, and optimise campaigns across major DSPs and curation platforms to ensure optimal performance. Analyse campaign data, provide actionable insights, and produce regular performance reports for clients. Act as a key point of contact for operational and technical support, proactively resolving any issues that may arise. Work closely with the commercial team to identify upselling and cross-selling opportunities. Keep abreast of industry developments, trends, and new platform features, sharing relevant updates with internal teams and clients. Maintain campaign and platform documentation, and support the implementation of process improvements where needed. Ensure all activities comply with industry standards, regulations, and data privacy policies. Requirements Bachelors degree in Marketing, Advertising, Business or a related field. Proven experience in programmatic advertising, with hands-on knowledge of major DSPs and curation platforms. Strong understanding of the digital advertising ecosystem including DSPs, SSPs, DMPs, and other key technologies. Highly process-driven with a track record of implementing or enhancing operational workflows. Excellent analytical skills and the ability to derive insights from performance data to inform decision-making. Exceptional verbal and written communication skills, with confidence in presenting to internal stakeholders and clients. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Proactive, adaptable, and solutions-focused, with a keen attention to detail. Strong understanding of industry regulations and compliance standards, including GDPR and other data protection requirements. Please share profile to anand@anvayainfo.com

Tech Lead - WiFi Job Location: Chennai Experience: 5 to 9 years Salary: Open Our Client is seeking passionate Firmware Tech Lead Engineer with 58 years of experience in developing Wi-Fi firmware. The role involves working on embedded software development for Wi-Fi 6/7 chipsets, focusing on Upper MAC/Lower MAC, Data and Control Paths, and performance optimization within RTOS environments. You will be part of the new Firmware Innovation Center in Chennai contributing to high performance wireless solutions. Key Responsibilities: Design, implement, and maintain Wi-Fi firmware modules related to: Data Path and Control Path Upper MAC/Lower MAC/PHY integration Wi-Fi 6 and Wi-Fi 7 protocol enhancements Debug critical firmware issues impacting performance, stability, and throughput. Collaborate with hardware, RF, and systems teams to ensure optimal firmware operation across layers. Develop and optimize firmware for real-time embedded environments, ensuring compliance with timing constraints and system KPIs. Participate in code reviews, bring-up, and delivery of firmware to production hardware. Support regulatory (FCC, ETSI etc.,) and feature compliance (e.g., DFS, CCA, Spectral Scan, etc.). Why Join? Be part of a Firmware Innovation Group under experienced leadership. Work on next-generation wireless technologies with cross-functional teams in a global environment. Work on bleeding-edge platforms and direct engagement with chipset vendors. A growth-oriented, fast-paced R&D culture where firmware leads the product innovation Requirements: 7-9 years of embedded software development focused on Wi-Fi or Cellular firmware. Strong knowledge of IEEE 802.11 protocols, especially Wi-Fi 6 and Wi-Fi 7 (MAC/PHY level) or similar technologies in Cellular(LTE/5G) Experience in real-time embedded systems and RTOS environments. Solid debugging skills for firmware bottlenecks, stability issues, and low-level Wi-Fi/Cellular stack problems. Hands-on experience with Qualcomm and/or Broadcom or MediaTek or Intel (or any other chipsets) Experience with Debugging tools: Wireshark, GDB, iperf, Sniffer Advantage: Experience with Qualcomm Wifi/Cellular chipsets Basic experience in host-side driver development (cfg80211/nl80211, netlink communication). Familiarity with Linux wireless applications (e.g., hostapd, wpa_supplicant). Knowledge of OpenWRT, Yocto, QSDK, and user-space tools for embedded Wi-Fi platforms. Knowhow about TDD/TDMA, FDD/FDMA Basic understanding of bootloaders, BSP bring-up, and U-Boot configuration. Familiarity with RF-related features such as: DFS Spectral Scan Transmit power and channel calibration Exposure to RF equipment (e.g., spectrum analyzer) and calibration procedures. Please share profile to anand@anvayainfo.com

Wi-Fi Firmware Engineer Job Location: Chennai Experience: 5 to 8 years Salary: Open Our Client is seeking passionate Firmware engineer with 58 years of experience in developing Wi-Fi firmware. The role involves working on embedded software development for Wi-Fi 6/7 chipsets, focusing on Upper MAC/Lower MAC, Data and Control Paths, and performance optimization within RTOS environments. You will be part of the new Firmware Innovation Centre in Chennai contributing to high performance wireless solutions. Key Responsibilities: Design, implement, and maintain Wi-Fi firmware modules related to: Data Path and Control Path Upper MAC/Lower MAC/PHY integration Wi-Fi 6 and Wi-Fi 7 protocol enhancements Debug critical firmware issues impacting performance, stability, and throughput. Collaborate with hardware, RF, and systems teams to ensure optimal firmware operation across layers. Develop and optimize firmware for real-time embedded environments, ensuring compliance with timing constraints and system KPIs. Participate in code reviews, bring-up, and delivery of firmware to production hardware. Support regulatory (FCC, ETSI etc.,) and feature compliance (e.g., DFS, CCA, Spectral Scan, etc.). Why Join? Be part of a Firmware Innovation Group under experienced leadership. Work on next-generation wireless technologies with cross-functional teams in a global environment. Work on bleeding-edge platforms and direct engagement with chipset vendors. A growth-oriented, fast-paced R&D culture where firmware leads the product innovation Requirements: 5–8 years of embedded software development focused on Wi-Fi or Cellular firmware. Strong knowledge of IEEE 802.11 protocols, especially Wi-Fi 6 and Wi-Fi 7 (MAC/PHY level) or similar technologies in Cellular(LTE/5G) Experience in real-time embedded systems and RTOS environments. Solid debugging skills for firmware bottlenecks, stability issues, and low-level Wi-Fi/Cellular stack problems. Hands-on experience with Qualcomm and/or Broadcom or MediaTek or Intel (or any other chipsets) Experience with Debugging tools: Wireshark, GDB, iperf, Sniffer Advantage: Experience with Qualcomm Wifi/Cellular chipsets Basic experience in host-side driver development (cfg80211/nl80211, netlink communication). Familiarity with Linux wireless applications (e.g., hostapd, wpa_supplicant). Knowledge of OpenWRT, Yocto, QSDK, and user-space tools for embedded Wi-Fi platforms. Knowhow about TDD/TDMA, FDD/FDMA Basic understanding of bootloaders, BSP bring-up, and U-Boot configuration. Familiarity with RF-related features such as: DFS Spectral Scan Transmit power and channel calibration Exposure to RF equipment (e.g., spectrum analyzer) and calibration procedures. Please share profile to anand@anvayainfo.com