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Join Nexchar Ventures and Help Decarbonise the Future Nexchar Ventures is a climate‑technology product manufacturer creating scalable carbon‑negative solutions for a sustainable future . We build and operate smart bio‑refineries, IoT‑enabled reactors, and ERP‑driven supply‑chains that convert waste biomass into high‑quality biochar and verified carbon credits. From our growing Gurgaon R&D hub, our 50‑plus team is engineering digital tools that link field‑level sensors with cloud analytics to automate every tonne of CO₂ we remove. We are expanding our engineering organisation and invite mission‑driven developers to shape the tech stack powering climate action. 1️⃣ Python Developer – IoT Systems Why this role matters You will design, build and scale the data pipelines and micro‑services that connect thousands of field sensors to our cloud‑based carbon accounting platform. Expect to work with edge devices, PLCs, and AWS IoT Core while keeping latency low and data integrity high. Key responsibilities Architect and develop REST / gRPC micro‑services in Python (Flask or Django) for real‑time device telemetry.(Expertia, ZipRecruiter) Integrate industrial protocols MQTT and Modbus for bidirectional control of bio‑reactors and smart meters.(HiveMQ, HiveMQ) Implement device provisioning, over‑the‑air updates and secure certificate management. Optimise data ingestion, storage and alerting pipelines on AWS IoT + Kinesis / Timestream. Collaborate with hardware engineers to validate sensor accuracy, uptime and fault tolerance.(Medium, Apix Drive) Write unit / integration tests and participate in code reviews; champion DevOps‑as‑code (Docker, GitHub Actions). Qualifications 3–5 years of professional Python development with production deployments on Flask or Django.(Expertia) Hands‑on experience building IoT solutions with MQTT brokers, Modbus RTU/TCP, or similar industrial comms.(arXiv) Familiarity with sensor interfaces (RS‑485, SPI, I²C) and edge compute platforms (Raspberry Pi, ESP32, Jetson). Working knowledge of cloud services (AWS IoT, Azure IoT Hub or GCP IoT Core) and CI/CD pipelines. Bonus: exposure to time‑series databases, Grafana, or predictive maintenance models. 2️⃣ ERPNext / Frappe Developer Why this role matters Nexchar’s entire carbon value‑chain—procurement, production, credit issuance and franchise ops—runs on ERPNext . You will extend our multi‑tenant ERP, automate complex workflows and build APIs that tie factory data to finance, ESG and marketplace portals. Key responsibilities Customize and maintain ERPNext modules (Manufacturing, Stock, Accounts) using Frappe Framework hooks and client scripts.(Frappe Forum, Frappe) Design DocTypes, dashboards and print formats; keep changes inside custom apps for clean upgrades.(Frappe Forum, Frappe Forum) Build REST/GraphQL endpoints to integrate IoT telemetry, blockchain registries and third‑party payment gateways. Implement role‑based permissions, automated approvals and BPMN‑style workflows to ensure auditability.(Frappe Documentation, Frappe Forum) Optimise database queries, caching and asynchronous jobs (RQ / Celery) for multi‑country scale. Create test suites and migration scripts; participate in peer reviews and DevOps releases with Bench. Qualifications 3–5 years developing on ERPNext v13+ / Frappe v13+ with live production roll‑outs.(Frappe Forum) Strong Python (OOP, type‑hints) plus JavaScript skills for front‑end scripting. Proven experience in API integrations (REST, Webhooks) and third‑party auth (OAuth 2.0, JWT). Solid grounding in SQL (MariaDB / PostgreSQL), data modelling and performance tuning. Bonus: exposure to Helm / Kubernetes, Redis and automated testing frameworks (PyTest, Playwright). What we offer Mission with impact – measure your code’s contribution in tonnes of CO₂ removed. Cutting‑edge stack – IoT edge + cloud, blockchain MRV, and low‑code ERP custom apps. Growth & autonomy – join a flat, engineering‑led culture that encourages experimentation. Competitive package – salary, ESOPs, learning stipend and on site work (Gurgaon campus). How to apply Send your resume, GitHub profile (or sample Frappe app) and a short note on why climate tech excites you to career@nexcharventures.com Help us engineer the next gigaton of carbon removal—one commit at a time. 🌱💡

Job Description: MLOps & AI Infrastructure Engineer Company: Credartha Location: Vapi, Gujarat Position Type: Full-Time About Calaxis by Credartha : The Future of AI is Built on Trust The $15 trillion promise of artificial intelligence is currently being held hostage by a single, pervasive bottleneck: the quality of domain-specific data. Today, building trustworthy, specialized AI is an artisanal, slow, and prohibitively expensive process reserved for tech giants with billion-dollar budgets. Calaxis is on a mission to change this. We are a deep-tech venture building a foundational platform to automate the end-to-end creation of flawless, high-quality datasets for any AI application. Our core innovation is a proprietary, self-improving system that uses a cascade of specialized AI models to systematically validate data for accuracy, compliance, and insight. By solving the data quality problem at its core, we are moving the AI industry from a capital-intensive to a method-intensive paradigm, democratizing the development of high-stakes AI for every vertical. What You Will Do: Architect the AI Flywheel: Design and build the end-to-end MLOps infrastructure for our entire platform. This includes creating automated pipelines for training, validation, deployment, and the crucial feedback loop that makes our system self-improving. Build a Multi-Tenant PaaS: Engineer a scalable, secure, and efficient multi-tenant architecture on AWS to support our customer-facing services. This includes managing on-demand compute for customer-driven fine-tuning (SFT & RL) and model deployment jobs. Automate Everything (CI/CD/CT): Implement and manage a sophisticated CI/CD/CT (Continuous Integration/Continuous Deployment/Continuous Training) system for our suite of AI models and backend services, ensuring rapid and reliable updates. Optimize LLM Serving: Deploy and manage high-throughput, low-latency model serving infrastructure for our internal AI validators and for customer-deployed models. Master GPU Resources: Develop and manage systems for efficient scheduling, allocation, and monitoring of GPU resources across multiple training and inference workloads. Ensure Production-Grade Reliability: Implement comprehensive monitoring, logging, and alerting for the entire platform using tools like AWS CloudWatch to ensure high availability and performance. Champion Infrastructure as Code (IaC): Use tools like Terraform or AWS CloudFormation to define and manage our infrastructure, ensuring it is version-controlled, repeatable, and scalable. Who You Are: The Expert We Need Required Qualifications: 5+ years of professional experience in a DevOps, SRE, or MLOps role, with a proven track record of building and managing production infrastructure for scalable applications. Deep expertise in cloud services, particularly AWS (e.g., EC2, S3, EKS/ECS, Lambda, RDS, API Gateway). Strong, hands-on experience with containerization (Docker) and container orchestration (Kubernetes). Proven experience designing and implementing CI/CD pipelines for complex applications (e.g., Jenkins, GitLab CI, AWS CodePipeline). Proficiency in scripting and automation, with strong skills in Python. A deep understanding of networking, security, and infrastructure best practices. Preferred Qualifications (Bonus Points): Direct experience building MLOps pipelines for training and deploying Large Language Models (LLMs). Familiarity with LLM-specific serving frameworks (e.g., vLLM, Text Generation Inference, Triton). Experience with ML platforms and tools like Kubeflow, MLflow, or Airflow. Experience building infrastructure for multi-tenant SaaS or PaaS products. Knowledge of advanced fine-tuning techniques like Reinforcement Learning from Human Feedback (RLHF) or Direct Preference Optimization (DPO) and their infrastructure requirements. AWS certifications (e.g., DevOps Engineer, Solutions Architect). Why Join Credartha? Build from the Ground Up: This is a rare greenfield opportunity to be the founding infrastructure architect for a deep-tech company. Your design choices will have a lasting impact on the entire platform. Solve Mission-Critical Challenges: You will be working on complex, interesting problems at the intersection of distributed systems, cloud infrastructure, and cutting-edge AI. Massive Impact and Ownership: You won't be maintaining legacy systems. You will have unparalleled ownership and the opportunity to build the operational foundation of a platform poised to disrupt a $15 trillion market. A Culture of Excellence: Join a passionate founding team that values technical rigor, innovation, and collaboration. Competitive Compensation: We offer a highly competitive salary, significant equity, and comprehensive benefits to ensure you are rewarded for your foundational contributions. If you are a world-class infrastructure engineer who is excited by the challenge of building the engine for the future of AI, we want to hear from you. How to Apply: Please submit your resume and a brief cover letter or message highlighting your experience building scalable, production-grade infrastructure and why you are excited about the mission at Calaxis.

MyOperator is India’s leading cloud-based business communication platform, trusted by 40,000+businesses. We offer cloud telephony and WhatsApp API solutions to streamline customer communication through IVR, call tracking, recording, and virtual numbers, making business interactions more efficient and scalable. Role Overview: We’re looking for a hands-on, technically fluent Customer Support Team Lead who is passionate about solving problems, leading high-performance teams, and delivering exceptional customer experiences. This role is ideal for someone who thrives in a fast-paced B2B SaaS environment and brings deep expertise in cloud telephony, WhatsApp Business APIs, and Zoho CRM.You will act as a player-coach, guiding and mentoring your team while jumping into complex cases yourself when needed. As a key leader in our support organization, you'll work cross-functionally with Product, Engineering, and Customer Success to ensure every customer issue is not just resolved—but understood, documented, and prevented in the future. Responsibilities: Team Leadership & Development Lead, mentor, and coach a team of support executives to exceed individual and team KPIs. Conduct performance reviews, provide actionable feedback, and identify training needs. Manage shift schedules, workloads, and high-priority escalations to ensure SLAs are met. Foster a culture of accountability, ownership, and continuous improvement. Customer Experience & Escalation Management Handle escalated customer issues, ensuring quick and accurate resolutions. Monitor support quality across channels and implement measures to improve CSAT and NPS. Proactively identify trends and systemic issues; drive cross-functional resolutions. Zoho CRM & Operational Management Oversee support operations via Zoho CRM and Zoho Desk, including ticket queues, live chat, and call support. Create and manage dashboards, workflows, automations, and custom reports to improve efficiency. Track KPIs such as FCR, AHT, SLA adherence, and CSAT. Technical Troubleshooting & Escalation Serve as the primary point for complex issues related to: Cloud Telephony: IVR setups, SIP issues, jitter/latency, call routing, CTI configurations. WhatsApp Business API: Message failures, template issues, API integration, webhook errors. Collaborate with the Engineering team for bug diagnosis and resolution. Process Improvement & Knowledge Management Analyze recurring issues, advocate for product fixes, and build preventive workflows. Maintain comprehensive internal and external knowledge bases and documentation. Standardize troubleshooting processes and ensure team-wide knowledge transfer. Cross-Functional Collaboration Partner with Product, Onboarding, and Account Management teams to support seamless implementations and retention. Represent the voice of the customer in product discussions and roadmap planning. Qualifications 3–5+ years in a B2B technical customer support role; preferably within a SaaS, CPaaS, or cloud telephony environment. 1–2+ years in a leadership or supervisory role. Prior experience in VoIP, IVR systems, or business messaging solutions (WhatsApp, SMS) is essential. Proficiency in Zoho CRM and/or Zoho Desk is highly desirable. Strong understanding of cloud telephony (SIP, PBX, CTI, call routing, etc.). Knowledge of WhatsApp Business API including template setup, endpoints, integration, and common errors. Ability to read and interpret API documentation and troubleshoot integration issues. Strong leadership and mentoring capabilities. Excellent verbal and written communication skills. High emotional intelligence and composure under pressure. Analytical mindset with a proactive approach to solving root causes, not just symptoms. Join us at MyOperator and be part of a dynamic team that is transforming the way businesses communicate. We offer competitive compensation, comprehensive benefits, and ample opportunities for growth and career advancement. Apply today and embark on an exciting journey with us! Additional Information Be part of a fast-growing and innovative company that is a leader in the cloud communications industry. A collaborative and supportive work environment that values your contributions. Competitive salary and benefits package. Opportunities for professional growth and career advancement. The chance to make a real impact on our customers and the success of our business

Position Summary... What you'll do... About Team The Catalog Data Science Team at Walmart Global Tech is focused on using the latest research in generative AI (GenAI), artificial intelligence (AI), machine learning (ML), statistics, deep learning, computer vision and optimization to implement solutions that ensure Walmart’s product catalog is accurate, complete, and optimized for customer experience. Our team tackles complex data science and ML engineering challenges related to product classification, attribute extraction, trust & safety, and catalog optimization, empowering next-generation retail use cases. The Data Science and ML Engineering community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Global Tech will eventually benefit our operations & our associates, helping Customers Save Money to Live Better. What you'll do: As a Senior Data Scientist - ML Engineer, you’ll have the opportunity to: Drive research initiatives and proof-of-concepts that push the state of the art in generative AI and large-scale machine learning. Design and implement high-throughput, low-latency AI/ML pipelines and microservices that operate at global scale. Oversee data ingestion, model training, evaluation, deployment and monitoring-ensuring performance, quality and reliability. Customize and optimize LLMs for specific business use cases, balancing accuracy, latency and cost. Prototype novel generative AI solutions, integrate advancements into production, and collaborate with research partners. Champion best practices in data quality, lineage, governance and cost optimization across ML pipelines. Mentor a team of ML engineers, establish coding standards, conduct design reviews, and foster a culture of continuous improvement. Present your team’s work at top-tier AI/ML conferences, publish scientific papers, and cultivate partnerships with universities and research labs. What You'll Bring PhD in Computer Science, Statistics, Applied Mathematics or related field with 3+ years’ experience in ML engineering-or Master’s with 6+ years or Bachelor’s with 8+ years. Proven track record of leading and scaling AI/ML products in production environments. Deep expertise in generative AI, large-scale model deployment, and fine-tuning of transformer-based architectures. Strong programming skills in Python, or equivalent, and experience with big data frameworks (Spark, Hadoop) and ML platforms (TensorFlow, PyTorch). Demonstrated history of scientific publications or patents in AI/ML. Excellent communication skills, a growth mindset, and the ability to drive cross-functional collaboration. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Primary Location... BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India R-2223713

Position Summary... What you'll do... About Team The Catalog Data Science Team at Walmart Global Tech is focused on using the latest research in generative AI (GenAI), artificial intelligence (AI), machine learning (ML), statistics, deep learning, computer vision and optimization to implement solutions that ensure Walmart’s product catalog is accurate, complete, and optimized for customer experience. Our team tackles complex data science and ML engineering challenges related to product classification, attribute extraction, trust & safety, and catalog optimization, empowering next-generation retail use cases. The Data Science and ML Engineering community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Global Tech will eventually benefit our operations & our associates, helping Customers Save Money to Live Better. What you'll do: As a Senior Data Scientist - ML Engineer, you’ll have the opportunity to: Drive research initiatives and proof-of-concepts that push the state of the art in generative AI and large-scale machine learning. Design and implement high-throughput, low-latency AI/ML pipelines and microservices that operate at global scale. Oversee data ingestion, model training, evaluation, deployment and monitoring-ensuring performance, quality and reliability. Customize and optimize LLMs for specific business use cases, balancing accuracy, latency and cost. Prototype novel generative AI solutions, integrate advancements into production, and collaborate with research partners. Champion best practices in data quality, lineage, governance and cost optimization across ML pipelines. Mentor a team of ML engineers, establish coding standards, conduct design reviews, and foster a culture of continuous improvement. Present your team’s work at top-tier AI/ML conferences, publish scientific papers, and cultivate partnerships with universities and research labs. What You'll Bring PhD in Computer Science, Statistics, Applied Mathematics or related field with 3+ years’ experience in ML engineering-or Master’s with 6+ years or Bachelor’s with 8+ years. Proven track record of leading and scaling AI/ML products in production environments. Deep expertise in generative AI, large-scale model deployment, and fine-tuning of transformer-based architectures. Strong programming skills in Python, or equivalent, and experience with big data frameworks (Spark, Hadoop) and ML platforms (TensorFlow, PyTorch). Demonstrated history of scientific publications or patents in AI/ML. Excellent communication skills, a growth mindset, and the ability to drive cross-functional collaboration. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Primary Location... BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India R-2223739

Key Responsibilities: Assist in the Design, development, and implementation of digital signal processing algorithms for audio, communication, and multimedia systems. Work with cross-functional teams to integrate DSP algorithms into embedded systems and hardware platforms. Optimize DSP algorithms for performance, memory usage, and power consumption, ensuring real-time processing on embedded platforms. Collaborate with hardware engineers to develop firmware and software for DSP-based systems. Assist in debugging, testing, and validating DSP algorithms to ensure they meet performance requirements and standards. Assist in analyzing and evaluating signal processing techniques to improve audio quality, noise cancellation, echo reduction, and other features. Assist in developing and maintaining software libraries and tools for DSP applications. Perform signal analysis, including Fourier Transform, filtering, and spectral analysis, using industry-standard tools. Assist in working with customers and end-users to understand application-specific needs and deliver optimal DSP solutions. Stay current with advancements in DSP algorithms, software tools, and hardware platforms. Required Qualifications: Bachelor's in a related field. Proven experience (2+ years) working as a DSP Engineer or in a similar role. knowledge of digital signal processing theory and techniques, including FIR/IIR filters, Fourier Transform, convolution, sampling, and quantization. Experience in implementing DSP algorithms in C/C++ for embedded systems. Familiarity with DSP hardware platforms (e.g., Texas Instruments, Analog Devices, or Qualcomm). Added advantage if Proficient in using DSP development tools, simulators, and software like MATLAB, Simulink, or Python for algorithm development and testing. Understanding of audio codecs, signal compression, and audio algorithms (e.g., AAC, MP3, Dolby, DTS). Good problem-solving and analytical skills. Added advantages if the following are known: Experience with audio or speech processing algorithms (e.g., noise suppression, beamforming, acoustic echo cancellation). Experience in implementing low-latency signal processing for real-time audio systems. Familiarity with Linux and embedded software development environments. Experience with software tools such as Code Composer Studio or similar DSP development environments.

About FedEx: Located in Hyderabad, India, FedEx ACC India serves as a strategic technology division for FedEx that will focus on developing innovative solutions for our customers and team members across the globe. These solutions will enhance productivity, minimize expenses, and update our technology infrastructure to continue providing the outstanding experiences our customers expect. JOB SPECIFIC INFORMATION: Drive improvement initiatives that support the overarching global reliability of the company's systems, including capacity planning, failover strategies, performance improvements, reduction of Mean Time to Awareness/Resolve, and postmortems. Leverage critical thinking to improve best practices and provide enterprise-level recommendations that ensure reliability and resiliency. Future oriented. Drives strategic planning. Mentor those in less senior positions. Perform other duties as assigned. Design, develop and implement enterprise scale reliability solutions to support the organization’s business strategy and goals. Work closely with our architects on an Agile team to fully understand systems and application monitoring, provide feedback, and request clarification as needed. Work with other engineers on a collaborative Agile team to address latency best practices on an ongoing basis. Review reliability requirements and data models and translate into responsible architecture Conduct design and code reviews with extended team to ensure that reliability code meets FedEx Enterprise Foundational Services standards Track and resolve performance bottlenecks Standardization of logs across applications ensuring that only the required information to support the application is produced for new and existing applications Applicant must work well under pressure Stake holder management in India and US time Skills / Knowledge Considered a Plus: Experience developing in the following languages: PHP, Java, JavaScript and SQL Experience with Relational Databases like Oracle and MySQL Experience using Monitoring Tools like VisualVM, Splunk, AppDynamics and New Relic Strong Knowledge of the Linux Operating System Understanding of Cloud Architectures - IaaS vs PaaS vs SaaS Understanding of software architecture and design patterns - Monolithic vs Microservices Practitioner of SAFe (Scaled Agile Framework) or other Agile methodologies Experience with the GitHub and Jenkins CICD Platforms Experience using Spring Frameworks like Spring Boot, Spring Cloud and Spring Data JPA Familiarity with networking concepts and best practices Understanding of the 12-Factor App and associated principles Automation experience like testing and deploying production applications Knowledge of the API First Philosophy Minimum Qualifications: Bachelor’s degree in computer science, engineering, information systems, business, and/or equivalent formal training or work experience. 10+ years of work experience in an information technology or engineering environment. A related advanced degree may offset the related experience requirement.

Experience: 5+ years Key Responsibilities: Analyze, measure, and optimize system performance across the full Linux stack—kernel, drivers, user-space services, and applications. Profile CPU, memory, I/O, GPU, and power usage to identify performance bottlenecks and inefficiencies. Develop and deploy performance monitoring and tracing tools (e.g., perf, ftrace, eBPF, systemtap, trace-cmd, BPFtrace). Work closely with kernel, power, graphics, boot, and user-space teams to tune and enhance system responsiveness and throughput. Optimize boot time, application launch latency, and system suspend/resume cycles for better end-user experience. Tune scheduler, interrupt handling, memory management, and I/O subsystems for target hardware platforms. Validate performance under various workloads (interactive, background, thermal stress) and ensure consistent behavior. Collaborate with hardware and firmware teams to align software performance with platform power and thermal constraints. Automate performance regression testing and define KPIs to track across software releases. Investigate and resolve thermal throttling, CPU/GPU frequency scaling, and battery drain issues in coordination with power and thermal teams. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. 5+ years of experience in Linux performance analysis and tuning on embedded or consumer platforms. Deep knowledge of Linux internals: process scheduling, memory management, NUMA, file systems, block devices, I/O stack, etc. Strong proficiency with performance tools: perf, top, htop, vmstat, iotop, powertop, ftrace, strace, systemtap, LTTng, eBPF, systemd-analyze, bootchart, blktrace, oprofile Experience with power-performance tuning frameworks such as CPUFreq, devfreq, cpuidle, and thermal frameworks. Familiar with kernel tuning interfaces: /proc, /sys, cgroups, udev, sysctl. Exposure to firmware/BIOS tuning and UEFI power settings. Skilled in C, Python, and shell scripting for automation and data processing. Experience in benchmarking tools and workloads: Phoronix Test Suite, stress-ng, sysbench, fio, glmark2, etc. Familiarity with hardware power domains, DVFS, thermal zones, and SoC power/thermal models is a plus. Experience with Yocto, Debian, or Ubuntu-based OS stacks and optimizing them for consumer-grade hardware (Intel/AMD/ARM).

TransUnion's Job Applicant Privacy Notice What We'll Bring This role is for a Lead Engineer that will operate as a member on the core teams of specialists that are responsible for enabling new features and optimizing strategic solutions within TransUnion’s Digital Onboarding (DO), TVIS and Fraud Prevention Exchange. What You'll Bring As a lead member on our agile scrum teams, you will have both the accountability and freedom to ensure the quality of the systems that are taking TransUnion and DO to the next level. Success in this role requires a blend of skills in multi-disciplinary software testing functions relating to the health, performance, security and quality of systems, and leadership. How You’ll Contribute Works closely with agile team members and regional team to clarify requirements, ensure testability and automatability, to provide feedback on design (functional and technical) Contributes to impact assessments from Feature enhancements on system level interactions, and existing automated test suites Conducts Test Design, Test planning, Test automation development, and Test execution Writes automated tests for high availability and highly scalable applications which will be used by both internal and external customers Conducts Manual Testing, and uses strong Exploratory Testing to uncover weaknesses in test approaches Identifies opportunities for reuse so as to design and implement test automation libraries Provides guidance and mentorship to Scrum team members to assist them in developing robust Unit Test and regression test suites May conduct performance and scalability testing Responsibilities include doing test case review / bug analysis, analyzing development and test impacts, writing test tools and identifying automation opportunities Contributes to improvements in unit testing coverage, design test framework, develop test suites, expand automated testing harness and automate scenarios/cases Provide training and knowledge transfer on DO features with Subject Matter Expertise of Digital Onboarding, FPE, Global IDV and eventually TVIS Impact You'll Make What You’ll Bring Six or more years of hands-on experience in a software quality assurance profession Strong experience in various phases of testing, designing, and developing complex enterprise applications, including automation test development Experience with GitHub, Source Tree, Microsoft Test Manager, and Jenkins Experience with SQL server Experience in implementing test automation libraries Experience with High-Volume , Low Latency transaction systems Strong experience managing a team operating under an Agile Scrum delivery methodology, any certifications are preferred. Experience with Decisioning software development is preferred. Experience with Mobile app development is preferred. Experience working in onshore & offshore model is preferred. Excellent analytical skills and the ability to provide alternative solutions to technical problems Strong written and verbal communication skills Excellent leadership skills This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Lead Engineer, Applications Development

Gen AI Lead Engineer JD (5-8 years) Job Description We are seeking a hands-on and forward-thinking Gen AI Lead Engineer with 5-8 years of experience to lead the development of cutting-edge GenAI solutions. You'll work on taking modern large language models (LLMs) from prototype to production, orchestrating multi-agent workflows using advanced frameworks like LlamaIndex Workflows , LangGraph , and structured function calling. An ideal candidate has a strong foundation in classical ML (e.g., XGBoost), deep learning with transformer-based architectures (such as LLaMA and Qwen-family models ), and hands-on experience building Retrieval-Augmented Generation (RAG) pipelines. This role is perfect for someone who thrives at the intersection of research, engineering, and real-world application—owning everything from system design to scalable deployment. Key Responsibilities Design, build, and deploy ML/DL models for: Tabular data (e.g., XGBoost) NLP and GenAI (e.g., RAG, tool/function calling) Fine-tune and serve LLMs using Hugging Face , PyTorch , and efficient-tuning techniques like LoRA , QLoRA , and PEFT . Architect and implement agent-based LLM solutions with tools like LlamaIndex , LangGraph , or LangChain Agents . Design multi-step tool-calling workflows and structured function-calling strategies for complex tasks. Orchestrate agent memory, state management, and contextual conversations. Develop and maintain FastAPI microservices for low-latency GenAI inference, streaming, and secure system integration. Deploy ML pipelines and training jobs in the cloud (preferably Azure , also AWS ). Handle end-to-end MLOps: CI/CD, containerization (Docker), GPU/ACI deployment, observability, and cost governance. Collaborate cross-functionally with product, data, and frontend teams to translate abstract ideas into tangible outcomes. Required Skills & Qualifications Strong Python programming skills; experience with FastAPI and/or Java is a plus. Proven experience with: XGBoost or similar ML models for tabular data. YOLO , OCR , and PyTorch for vision and text extraction tasks. Deep knowledge in NLP / GenAI: LLM fine-tuning, prompt engineering, and RAG design. Proficiency with Hugging Face Transformers , PEFT , and vector databases. Implementation of agent frameworks like LlamaIndex , LangGraph , or LangChain Agents . MLOps & Deployment: Experience with Docker, CI/CD pipelines, experiment tracking, model versioning, and rollback mechanisms. Cloud Proficiency: Azure ML , Azure Functions, AKS (preferred) or AWS SageMaker , Lambda. Bonus : experience with Triton / vLLM, streaming websockets, or GPU cost-optimization. Benefits of Working with Us: Best of Both Worlds: Enjoy the enthusiasm and learning curve of a startup combined with the deliveries and performance of an enterprise service provider. Flexible Working Hours: We offer a delivery-oriented approach with flexible working hours to help you maintain a healthy work-life balance. Limitless Growth Opportunities: The sky is not the limit when it comes to learning, growth, and sharing ideas. We encourage continuous learning and personal development. Flat Organizational Structure: We don't follow the typical corporate hierarchy ladder, fostering an open and collaborative work environment where everyone's voice is heard. As part of our dedication to an inclusive and diverse workforce, TechChefz Digital is committed to Equal Employment Opportunity without regard to race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. If you need assistance, you may contact us at joinus@techchefz.com

We are hiring Python Developer wit AI Key Responsibilities: ● Utilize Python to build and sustain software applications with a strong focus on AI and machine learning. ● Ensure performance, usability, and scalability in AI applications by leveraging advanced Python techniques. ● Identify and resolve issues to maintain low latency and high availability in AI systems. ● Participate in and conduct code reviews, providing constructive feedback on software design and architecture. ● Work with cross-functional teams to define project requirements and scope, ensuring alignment with AI objectives. ● Apply your expertise in AI libraries and frameworks like langchain, openai, llamaIndex, Pandas, Numpy, or similar tools. ● Work with Large Language Models such as GPT-4, Llama and Vector databases like Pinecone, chromadb, FAISS. ● Integrate Python applications with databases, ensuring efficient data storage and retrieval. ● Utilize Amazon Web Services (AWS) for deploying and managing cloud-based AI applications. ● Utilize robust analytical and problem-solving abilities to tackle complex AI challenges. ● Exhibit excellent communication and teamwork skills to collaborate effectively within the team and with stakeholders Key Requirements: ● Degree in Computer Science, Engineering, or a related field. ● Minimum 6 years of relevant experience is a must. ● Proven experience as a Python Developer, with a focus on AI and machine learning projects. ● Strong knowledge of Django, Flask, or similar Python frameworks, with an emphasis on AI integration. ● Proficient in integrating Python applications with databases. ● Experience with Amazon Web Services (AWS) for cloud-based solutions. ● Familiarity with large language model (LLM) frameworks for AI development. ● Familiarity in concepts such as data chunking, embedding, and various similarity search approaches like cosine similarity.

Overview We are looking for a hybrid AI Platform Engineer to lead the design of high-performance prompts and the development of custom AI agents and integrations across our internal platforms. Collaborating closely with our AI Platform Manager and functional business units, this role bridges the creative precision of prompt engineering with the technical fluency required to build and deploy powerful LLM-based tools using APIs, system integrations, and emerging AI infrastructure. Key Responsibilities Prompt Engineering & Optimization Design, test, and refine prompts for general and use-case-specific applications. Evaluate and improve LLM output quality based on accuracy, latency, hallucination, and user satisfaction. Maintain a scalable prompt library with robust documentation and experimentation tracking. Custom Agent & GPT Development Build and maintain custom GPTs (via OpenAI) or Google Agents (Gemini, Vertex AI). Configure tools, memory, system prompts, and API-calling capabilities for agent workflows. Ensure agents follow internal data governance and compliance policies. API & Platform Integration Integrate LLM functionality into internal systems (e.g., dashboards, Slack, CRMs, internal portals). Work with APIs from OpenAI, Google Cloud, Azure, and others to create functional pipelines. Support rapid prototyping and deployment of AI features in close coordination with product and automation teams. Evaluation & Instrumentation Define key performance metrics (quality, reliability, usage patterns). Collaborate with data engineering to log, analyze, and visualize LLM performance. Implement feedback loops to continuously optimize prompt and agent behavior. Enablement & Documentation Provide tooling and guidance to business users and product teams for prompt-based workflows. Contribute to internal AI playbooks and best practices around prompt usage and API integration. Requirements 1 -3 years of experience in AI/ML, NLP applications, or full-stack product development Hands-on experience with OpenAI APIs, Google Cloud Vertex/Gemini, or similar platforms Strong experience with prompt engineering and LLM evaluation methods Proficiency in Python and working with APIs, JSON, and vector databases Familiarity with LangChain, LlamaIndex, or custom agent frameworks Excellent collaboration and communication skills

We are seeking a skilled and experienced DevOps Engineer with expertise in architecting, implementing, and managing hybrid cloud infrastructure to enable seamless deployment and scaling of high-performance applications and machine learning workloads. Proven experience in cloud services, on-premises systems, container orchestration, automation, and multi-database management. Key Responsibilities & Experience : - Designed, implemented, and managed scalable AWS infrastructure leveraging services such as EC2, ECS, Lambda, S3, DynamoDB, Cognito, SageMaker, Amazon ECR, SES, Route 53, VPC Peering, and Site-to-Site VPN to support secure, high-performance, and resilient cloud environments. - Applied best practices in network security, including firewall configuration, IAM policy management. - Architected and maintained large-scale, multi-database systems integrating PostgreSQL, MongoDB, DynamoDB, and Elasticsearch to support millions of records, low-latency search, and real-time analytics. - Built and maintained CI/CD pipelines using GitHub Actions and Jenkins, enabling automated testing, Docker builds, and seamless deployments to production. - Managed containerized deployments using Docker, and orchestrated services using Amazon ECS for scalable and resilient application environments. - Implemented and maintained IaC frameworks using Terraform, AWS CloudFormation, and Ansible to ensure consistent, repeatable, and scalable infrastructure deployments. - Developed Ansible playbooks to automate system provisioning, OS-level configurations, and application deployments across hybrid environments. - Configured Amazon CloudWatch and Zabbix for proactive monitoring, health checks, and custom alerts to maintain system reliability and uptime. - Administered Linux-based servers, applied system hardening techniques, and maintained OS-level and network security best practices. - Managed SSL/TLS certificates, configured DNS records, and integrated email services using Amazon SES and SMTP tools. - Deployed and managed infrastructure for ML workloads using AWS SageMaker, optimizing model training, hosting, and resource utilization for cost-effective performance. Preferred Qualifications : - 3+ years of experience in DevOps, Cloud Infrastructure - Bachelors degree in Computer Science, Engineering - Experience deploying and managing machine learning models - Hands-on experience managing multi-node Elasticsearch clusters and designing scalable, high-performance search infrastructure. - Experience designing and operating hybrid cloud architectures, integrating on-premises and cloud-based systems Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: DevOps: 3 years (Required) Work Location: In person Speak with the employer +91 8360518086

Job description: Job Description Role Purpose The purpose of this role is to perform the development of VLSI system by defining the various functionalities, architecture, layout and implementation for a client ͏ Do 1. Conduct verification of the module/ IP functionality and provide customer support a. Understand the architecture of the module or the IP and create verification environment and the development plan as per Universal Verification Methodology b. Create test bench development and test case coding of the one or multiple module c. Write the codes or check the code as required d. Execute the test cases and debug the test cases if required e. Conduct functional coverage analysis and document the test cases including failures and debugging procedures on SharePoint/ JIRA or any other platform as directed f. Test the entire IP functionality under regression testing and complete the documentation to publish to client g. Troubleshoot, debug and upgrade existing systems on time & with minimum latency and maximum efficiency h. Write scripts for the IP i. Comply with project plans and industry standards 2. Ensure reporting & documentation for the client a. Ensure weekly, monthly status reports for the clients as per requirements b. Maintain documents and create a repository of all design changes, recommendations etc c. Maintain time-sheets for the clients d. Providing written knowledge transfer/ history of the project ͏ Deliver No. Performance Parameter Measure 1. Verification Timeliness Quality of Code/ Number of defects Customer responsiveness Project documentation (scripts, test cases etc)2. Self-development Skill test for next level clearance on Trend Nxt ͏ ͏ Mandatory Skills: VLSI HVL Verification . Experience: 3-5 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Job Title: AI/ML Engineer Location: Pune About Us: We are a cutting-edge company focused on delivering transformative AI solutions. Join our team to develop scalable AI architectures and high-performance machine learning models that will have a direct impact on our products. Key Responsibilities: AI Architecture Design: Create scalable AI systems to support various applications with high efficiency and real-time data processing. Model Development: Build and optimize machine learning models, focusing on performance and accuracy. Collaboration: Work with product, engineering, and data science teams to integrate AI solutions effectively. Performance Monitoring: Track model performance, address issues, and retrain models as needed to ensure optimal performance. Data Infrastructure: Design data pipelines for efficient collection, processing, and storage of large datasets. Required Qualifications: Experience: 1+ years in AI/ML engineering, with expertise in model development and deployment. Technical Skills: Proficient in Python, TensorFlow, PyTorch, and data engineering tools (AWS, Hadoop, Spark). Machine Learning Expertise: Strong understanding of machine learning algorithms, deep learning, and optimization techniques. Scalability: Experience with deploying models in scalable, real-time environments using cloud infrastructure (AWS, Google Cloud). Communication: Ability to explain complex AI concepts to cross-functional teams. Preferred Qualifications: B achelor's degree : AI, Machine Learning, or related field. Real-Time AI Experience: Experience deploying AI models in high-latency, real-time applications. Gaming/Interactive AI: Familiarity with AI applications in gaming or interactive environments. Why Join Us? Work with cutting-edge AI technologies. Collaborate with a talented and innovative team. Competitive salary and growth opportunities. To Apply: Submit your resume and cover letter detailing your experience with AI/ML architecture and model development. We look forward to hearing from you!

Company Description Optimum Data Analytics is a strategic technology partner delivering reliable turnkey AI solutions. Our streamlined approach to development ensures high-quality results and client satisfaction. We bring experience and clarity to organizations, powering every human decision with analytics & AI Our team consists of statisticians, computer science engineers, data scientists, and product managers. With expertise, flexibility, and cultural alignment, we understand the business, analytics, and data management imperatives of your organization. Our goal is to change how AI/ML is approached in the service sector and deliver outcomes that matter. We provide best-in-class services that increase profit for businesses and deliver improved value for customers, helping businesses grow, transform, and achieve their objectives. Job Details Position : IoT Firmware Engineer Experience : 5+ years Work Mode : Hybrid Location : Pune Notice Period : Immediate – 15 Days(Serving) Job Summary Does bringing modern technologies into new domains interest you? Or making measurable and consistent improvement available to your customers? Or being able to help lead new initiatives from the ground up? If yes, we'd love to hear from you! We're looking for an experienced engineer to help us build hardware and software solutions that help our customers reduce waste, improve quality, and gain greater control over their businesses. This role involves significant hands-on R&D work in our lab, collaborating closely with mechanical engineers, product managers, and other stakeholders to develop cutting-edge IoT solutions from concept to production. Knowledge And Skill Requirements Bachelor's degree in Computer Science preferred, or equivalent practical experience. Electrical engineering background is a plus. 4+ years of experience in embedded software development and firmware programming Strong proficiency in C++ firmware development, particularly on ESP32 microcontrollers using the arduino-esp32 framework Experience maintaining and managing production fleets of IoT devices, including remote monitoring, diagnostics, and over-the-air (OTA) updates Deep understanding of IoT communication protocols, especially MQTT and Bluetooth Low Energy (BLE) Experience with Azure IoT for device management and telemetry (AWS IoT or similar platforms a plus) Experience integrating sensors, servos, and other peripherals in embedded systems Experience with communication protocol interfaces such as I2C, SPI, UART, MODBUS, CAN Strong firmware debugging and system integration capabilities Ability to work with hardware documentation and component datasheets Familiarity with debugging tools including oscilloscopes and logic analyzers helpful but not required Strong hands-on prototyping and R&D skills with embedded hardware, with experience working collaboratively in lab environments Experience with real-time operating systems (RTOS) and power management for battery-operated devices Experience with wireless communication debugging and optimization Enjoy tinkering and experimenting in areas outside of your core competencies Comfortable with Git, GitHub, and CI/CD practices for embedded development Job Responsibilities TECHNICAL Developing robust C++ firmware for ESP32-based IoT devices using the arduino-esp32 framework Managing and maintaining production fleets of IoT devices, including remote diagnostics, fleet monitoring, and coordinating OTA firmware updates Implementing and optimizing IoT communication protocols, particularly MQTT for cloud connectivity and BLE for local device interactions Delivering reliable hardware and software solutions to fielded devices Collaborating to make the best technology stack choices for embedded systems Leveraging cloud services to develop modern, reliable, low-latency systems for device management and telemetry processing Working with product and engineering leaders to define deliverable solutions for customers Owning the entire embedded hardware development lifecycle: from planning and design, to implementation and testing, followed by deployment and maintenance Troubleshooting and resolving field issues with deployed IoT devices Various other duties as assigned Skills: can,wireless communication debugging,esp32,hardware documentation,power management,real-time operating systems,ci/cd practices,uart,modbus,iot device management,arduino-esp32 framework,protocol interfaces,real-time operating systems (rtos),firmware debugging,telemetry,git,iot communication protocols,iot,firmware programming,bluetooth low energy (ble),azure iot,advanced prototyping techniques,c++,mqtt,github,spi,embedded software development,i2c

Passionate about defending the world's data? Join Cohesity! Cohesity offers a web-scale, hybrid cloud infrastructure for data management. We are looking for Software Engineers who are motivated and passionate and willing to enhance Cohesity’s products and by working on features, tools, scripts that will make it easy to sell, deploy and maintain. You are not only a Software Engineer who designs and implements features but should have knack of diagnosing problems in large bodies of complex code, understand scalability and performance and work on fixes with rapid turnaround time and high quality. You will be part of our Product and Sustenance Engineering team and willing to work with Product. Managers and more importantly with Customer Support, System Engineers and Customers. If you’re looking to make a real impact at the heart of cloud-scale data infrastructure, the Platforms Product Management team at Cohesity offers a unique opportunity. Our Platforms PM group is responsible for the foundational software, hardware integration, and performance engineering that enables all Cohesity products—from the core data cloud to next-generation scale-out architectures. HOW YOU’LL SPEND YOUR TIME HERE Own and execute the roadmap for platform performance engineering and active benchmarking, including: Performance test frameworks, tooling, and methodologies Definition and measurement of key performance indicators (KPIs) across storage, compute, and network layers Setting industry-standard benchmarks for throughput, latency, scalability, and efficiency for Cohesity platforms Performance modeling and forecasting for new hardware, configurations, and releases Continuous competitive benchmarking and positioning Translate business needs, field/customer feedback, and technical requirements into detailed user stories with clear acceptance criteria within the performance domain Prioritize and manage backlogs and release plans for all platform performance and benchmarking initiatives Partner cross-functionally with engineering, QA, field, hardware, and product teams to: Design, plan, and execute performance validation at scale Identify, root-cause, and resolve bottlenecks across system components and workflows Develop and validate performance optimization feature requirements Lead initiatives for infrastructure and workflow improvements that elevate performance engineering and reporting as a product discipline Collaborate with hardware and software vendors to validate Cohesity performance claims on new platforms and configurations Drive the delivery of automated benchmarking pipelines, real-time monitoring dashboards, and performance regression detection Generate and maintain high-quality technical documentation, white papers, and performance reports for both internal and external audiences Serve as the subject matter expert for all aspects of platform performance—supporting GTM teams, field escalations, and strategic customer opportunities WE’D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING 5+ years of product management experience, with a track record driving performance or benchmarking initiatives in infrastructure, cloud, or distributed system environments In-depth understanding of performance engineering principles, system profiling tools, and large-scale benchmarking practices Demonstrated ability to translate business and technical requirements into measurable performance outcomes and actionable product plans Strong partnership skills: proven effectiveness working across engineering, QA, hardware, and go-to-market teams Familiarity with automation frameworks, test harnesses, and continuous integration/continuous delivery (CI/CD) workflows Excellent written and verbal communication abilities, including technical reporting for internal and customer-facing materials

mokSa.ai is specializing in AI-powered surveillance audit solutions . Founded in 2021, the company focuses on helping businesses reduce losses from shoplifting and employee fraud by leveraging computer vision and machine learning technologies Job Description : We are seeking a talented Computer Vision Engineer with strong expertise in microservice deployment architecture to join our team. In this role, you will be responsible for developing and deploying computer vision models to analyze retail surveillance footage for use cases such as theft detection, employee efficiency monitoring, and store traffic analysis. Responsibilities : You will work on designing and implementing scalable, cloud-based microservices to deliver real-time and post-event analytics to improve retail responsibilities - Develop computer vision models : Build, train, and optimize deep learning models to analyze surveillance footage for detecting theft, monitoring employee productivity, tracking store busy hours, and other relevant use cases. - Microservice architecture : Design and deploy scalable microservice-based solutions that allow seamless integration of computer vision models into cloud or on-premise environments. - Data processing pipelines : Develop data pipelines to process real-time and batch video data streams, ensuring efficient extraction, transformation, and loading (ETL) of video data. - Integrate with existing systems : Collaborate with backend and frontend engineers to integrate computer vision services with existing retail systems such as POS, inventory management, and employee scheduling. - Performance optimization : Fine-tune models for high accuracy and real-time inference on edge devices or cloud infrastructure, optimizing for latency, power consumption, and resource constraints. - Monitor and improve : Continuously monitor model performance in production environments, identify potential issues, and implement improvements to accuracy and efficiency. - Security and privacy : Ensure compliance with industry standards for security and data privacy, particularly regarding the handling of video footage and sensitive Skills & Requirements : - 5+ years of proven experience in computer vision, including object detection, action recognition, and multi-object tracking, preferably in retail or surveillance applications. - Hands-on experience with microservices deployment on cloud platforms (e., AWS, GCP, Azure) using Docker, Kubernetes, or similar technologies. - Experience with real-time video analytics, including working with large-scale video data and camera Skills - Proficiency in programming languages like Python, C++, or Java. - Expertise in deep learning frameworks (e. TensorFlow, PyTorch, Keras) for developing computer vision models. - Strong understanding of microservice architecture, REST APIs, and serverless computing. - Knowledge of database systems (SQL, NoSQL), message queues (Kafka, RabbitMQ), and container orchestration (Kubernetes). - Familiarity with edge computing and hardware acceleration (e., GPUs, TPUs) for running inference on embedded Qualifications : - Experience with deploying models to edge devices (NVIDIA Jetson, Coral, etc.) - Understanding of retail operations and common challenges in surveillance. - Knowledge of data privacy regulations such as GDPR - Strong analytical and problem-solving skills. - Ability to work independently and in cross-functional teams. - Excellent communication skills to convey technical concepts to non-technical - Competitive salary and stock options. - Health insurance. If you're passionate about creating cutting-edge computer vision solutions and deploying them at scale to transform retail operations, wed love to hear from you!. Interested candidates can apply here: sravankumar.m@moksa.ai

About The Company: Dolat is a dynamic team of traders, puzzle solvers, and coding enthusiasts focused on tackling complex challenges in the financial world. We specialize in trading in volatile markets and developing cutting-edge technologies and strategies. We're seeking a skilled Linux Support Engineer to manage over 400 servers and support 100+ users. Our engineers ensure a high-performance, low-latency environment while maintaining simplicity and control. If you're passionate about technology, trading, and problem-solving, this is the place to engineer your skills into a rewarding career. Qualifications: B.E/ B.Tech Experience: 0-3 years. Job location – Andheri West, Mumbai. Responsibilities: Troubleshoot network issues, kernel panics, system hangs, and performance bottlenecks. Fine-tune processes for minimal jitter in a low-latency environment. Support low-latency servers, lines, and networks, participating in on-call rotations. Install, configure, and deploy fully-distributed Red Hat Linux systems. Deploy, configure, and monitor complex trading applications. Provide hands-on support to trading, risk, and compliance teams (Linux & Windows platforms). Automate processes and analyze performance metrics to improve system efficiency. Collaborate with development teams to maintain a stable, high-performance trading environment. Drive continuous improvement, system reliability, and simplicity. Resolve issues in a fast-paced, results-driven IT team. Provide level one and two support for tools systems testing and production release. Skills Required: Expertise in Linux kernel tuning, configuration management (cfengine). Experience with hardware testing/integration and IT security. Proficient in maintaining Cisco, Windows, and PC hardware. Good knowledge in Perl, Python, Powershell & Bash. Hands-on knowledge of SSH, iptables, NFS, DNS, DHCP, and LDAP. Experience with Open Source tools (Nagios, SmokePing, MRTG) for enterprise-level systems. Knowledge of maintaining Cisco ports/VLANs/dot1.x Solid understanding of OS and network architectures. REDHAT Certification and SQL/database knowledge. Ability to manage multiple tasks in a fast-paced environment. Excellent communication skills and fluency in English. Proven technical problem-solving capabilities. Strong documentation and knowledge management skills. Software development skills are a bonus. Preferred SQL and database administration skills.

Delhi, Delhi, India Department Backend Development Job posted on Jul 23, 2025 Employee Type Permanent Experience range (Years) 0 - 0 About the Role We are looking for a seasoned Engineering Manager to lead the development of our internal Risk, Fraud and Operations Platform . This platform plays a critical role in ensuring smooth business operations, detecting anomalies, managing fraud workflows, and supporting internal teams with real-time visibility and control. As an Engineering Manager, you’llbe responsible for leading a cross-functional team of backend engineers working on high-throughput systems, real-time data pipelines, and internal tools that power operational intelligence and risk management. You will own delivery, architecture decisions, team growth, and collaboration with stakeholders. Key Responsibilities Lead and grow a team of software engineers building internal risk and ops platforms. Oversee the design and development of scalable microservices and real-time data pipelines. Collaborate with stakeholders from Risk, Ops, and Product to define technical roadmaps and translate them into delivery plans. Ensure high system reliability, data accuracy, and low-latency access to risk signals and ops dashboards. Drive architectural decisions, code quality, testing, and deployment best practices. Contribute to hands-on design, reviews, and occasional coding when required. Optimize performance and cost-efficiency of services deployed on AWS. Mentor team members and foster a culture of ownership, innovation, and continuous learning. Tech Stack You'll Work With Languages: Node.js, Python, Java Data & Messaging: Kafka, OpenSearch, MongoDB, MySQL , Apache Spark , Apache Flink , Apache Druid Architecture: Microservices, REST APIs Infrastructure: AWS (EC2, ECS/EKS, Lambda, RDS, CI/CDetc.) Requirements 8+ years of software engineering experience with backend and distributed systems. 2+ years of people management or tech leadership experience. Strong experience with Node.js and Python ; familiarity with Java is a plus. Hands-on experience with event-driven architecture using Kafka or similar. Exposure to OpenSearch , MongoDB , and relational databases like MySQL . Exposure to Spark, Flink , Data pipeline ETL Deep understanding of cloud-native architecture and services on AWS . Proven ability to manage timelines, deliver features, and drive cross-functional execution. Strong communication and stakeholder management skills. Preferred Qualifications Prior experience in risk, fraud detection, operations tooling , or internal platforms . Experience with observability, alerting, and anomaly detection systems. Comfortable working in fast-paced environments with rapidly evolving requirements.

- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Join the team that brought you the Echo Show, a touch-screen enabled Alexa device that supports video calling, music, weather, and more! Our Echo Software team works on not only the Echo Show but other high-profile consumer electronics products including Fire TV and the Echo family of devices. We’d love to have you join us to bring innovative experiences to millions of customers. As a software engineer in the Alexa Endpoint Experiences team, you will help drive innovation by developing features that present innovative speech-backed visuals on our Echo Show, Echo Spot, and similar screened Alexa devices. Specifically, you will be responsible for developing and maintaining Multimedia experiences, partnering with other Amazon and third-party services and device teams as required. You will ensure that Alexa almost never drops her end of the conversation, delivering services that respond with minimal latency at Amazon scale. You may work on device frameworks, web services, and more. If being at the forefront of new innovation for Alexa sounds exciting, we'd love to talk to you! Key job responsibilities 1. Own the high level design and development for Multimedia experiences for Echo family of Devices (including new Device launches) with Alexa 2. Deliver high quality software through working in a dynamic, team-focused Agile/Scrum environment. 3. Mentor and train young engineers in the team to build quality software 4. Collaborate with UX and Product owners to define customer experience and product direction. A day in the life 1. Coding in C++/Java/Android 2. Code Reviews 3. Design documents - authoring and review 4. Working with partner teams to plan out new features 5. Work Hard, Have Fun and Make History 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

We are seeking a skilled and experienced DevOps Engineer with expertise in architecting, implementing, and managing hybrid cloud infrastructure to enable seamless deployment and scaling of high-performance applications and machine learning workloads. Proven experience in cloud services, on-premises systems, container orchestration, automation, and multi-database management. Key Responsibilities & Experience Designed, implemented, and managed scalable AWS infrastructure leveraging services such as EC2, ECS, Lambda, S3, DynamoDB, Cognito, SageMaker, Amazon ECR, SES, Route 53, VPC Peering, and Site-to-Site VPN to support secure, high-performance, and resilient cloud environments. Applied best practices in network security, including firewall configuration, IAM policy management. Architected and maintained large-scale, multi-database systems integrating PostgreSQL, MongoDB, DynamoDB, and Elasticsearch to support millions of records, low-latency search, and real-time analytics. Built and maintained CI/CD pipelines using GitHub Actions and Jenkins, enabling automated testing, Docker builds, and seamless deployments to production. Managed containerized deployments using Docker, and orchestrated services using Amazon ECS for scalable and resilient application environments. Implemented and maintained IaC frameworks using Terraform, AWS CloudFormation, and Ansible to ensure consistent, repeatable, and scalable infrastructure deployments. Developed Ansible playbooks to automate system provisioning, OS-level configurations, and application deployments across hybrid environments. Configured Amazon CloudWatch and Zabbix for proactive monitoring, health checks, and custom alerts to maintain system reliability and uptime. Administered Linux-based servers, applied system hardening techniques, and maintained OS-level and network security best practices. Managed SSL/TLS certificates, configured DNS records, and integrated email services using Amazon SES and SMTP tools. Deployed and managed infrastructure for ML workloads using AWS SageMaker, optimizing model training, hosting, and resource utilization for cost-effective performance. Preferred Qualifications 3+ years of experience in DevOps, Cloud Infrastructure Bachelors degree in Computer Science, Engineering Experience deploying and managing machine learning models Hands-on experience managing multi-node Elasticsearch clusters and designing scalable, high-performance search infrastructure. Experience designing and operating hybrid cloud architectures, integrating on-premises and cloud-based systems (ref:hirist.tech)

Selected Intern’s Day-to-day Responsibilities Include Maintain AdTech and cloud-based systems, ensuring core application components are stable, performant, and scalable in production environments. Design and develop RESTful APIs for internal and external integrations using industry-standard frameworks (e.g., Node.js, Python Flask/Django, Java Spring). Building endpoints, handling authentication, and enabling third-party connectivity. Integrate with third-party services, leveraging APIs to enable functionality such as analytics ingestion, ad exchange connections, or data integrations. Collaborate with vendors to troubleshoot integration issues. Design, execute, and analyze performance tests, simulating large-scale events using load testing tools like JMeter, Gatling, or Locust. Identify latency, throughput, and reliability bottlenecks. Troubleshoot performance bottlenecks, analyze issues in load test results and production environments, and recommend optimizations—e.g., query tuning, caching, scaling or refactoring. Develop tools and reports for performance metrics, including dashboards to track KPIs like response time, error rate, and resource utilization. Automate data collection and enable proactive monitoring. About Company: Vertoz (NSEI: VERTOZ), an AI-powered MadTech and CloudTech platform offering digital advertising, marketing, and monetization (MadTech) & digital identity, and cloud infrastructure (CloudTech) caters to businesses, digital marketers, advertising agencies, digital publishers, cloud providers, and technology companies.

At Citi we’re not just building technology, we’re building the future of banking. Encompassing a broad range of specialties, roles, and cultures, our teams are creating innovations used across the globe. Citi is constantly growing and progressing through our technology, with laser focused on evolving the ways of doing things. As one of the world’s most global banks we’re changing how the world does business Shape your Career with Citi We’re currently looking for a high caliber professional to join our team as Officer, Java Full stack Developer - Hybrid (Internal Job Title: 25836024 Apps Dev Programmer Analyst - C11) based in Chennai, India. Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. For instance: We provide programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country. We empower our employees to manage their financial well-being and help them plan for the future. We provide access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses. In this role, you’re expected to: Develop Code, test, document and release stories as part of development team.Reviewing code work for accuracy and functionality. Apply fundamental knowledge of programming languages for design specifications Work closely with Program Management and Quality Control teams to deliver quality software to agreed project schedules. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. As a successful candidate, you’d ideally have the following skills and exposure: 4-8 Years of hands-on experience as Java Developer In depth knowledge and application of Java, J2EE, HTML/CSS, JSP, Servlets, JDBC, Spring Framework, Struts framework, EJB and JavaScript Thorough understanding of usage of the fundamental concepts like Exception Handling, Static block/variables/classes , OOPS concepts, Collections, Multi-Threading, http sessions, session handling, Servlets/JSP life cycle, JDBC, actions, events, implicit objects, custom tags, context Exposure to an industry-standard database (Oracle or Sybase) on a UNIX platform with awareness of database design and SQL scripting knowledge and performance tuning Awareness of application servers /webservers (Weblogic , JBoss and iPlanet) Work experience in testing frameworks like Junit, TestNG Work experience on the transactional applications for low latency, high availability uses is a plus Swings/.Net/C# knowledge is a plus Domain : Knowledge of various treasury products, viz. FX, Money Markets, Fixed Income & Derivatives is a plus Working at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact. Take the next step in your career, apply for this role at Citi today https://jobs.citi.com/dei ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Contribute to the design and architecture of software solutions, ensuring they are amenable to test. Planning tests, including the definition and management of suitable test data, and managing the trade-offs for thoroughness/completeness vs. development & maintenance effort on one hand and time to execute on the other. Reduce friction and latency in the development cycle through automation and immediate feedback; not only test but also build, deployment, monitoring, etc. Writing great software to support agile software engineering practices (e.g., TDD, continuous integration, automated tests, etc.) Collaborating with product owners, stakeholders and potentially globally distributed teams. Work cross functional in an Agile environment. Ensure that our applications can scale to match huge demand across the world. Sweat about milliseconds of response time and obsess over the next 1 percent of efficiency. Excellent problem-solving, organizational and analytical skills Requirements Master's / Bachelor's degree in Computer Science or related field with over 3 years experience. Knowledge of one of the following languages JavaScript, TypeScript, Java, Python. Experience building and executing automated tests using Selenium, playwright will be an added advantage. At least 2 years of experience testing software and web applications in an agile environment. Knowledge in automating UI tests with Selenium and Ruby. Knowledge of JavaScript, CSS, Web Standards and experience testing REST-based APIs. Experience configuring Jenkins and extending it with custom plug-ins. Understanding of enterprise-level automation needs and solutions (parallelism, distribution, etc.) Familiarity with client-side MVC frameworks. Experience with at least one major server-side web development stack, preferably ASP.NET Technical knowledge of at least one major RDBMS, preferably SQL Server. Strong verbal communication, cross-group collaboration skills, analytical, structured and strategic thinking. Great interpersonal skills, cultural awareness, and belief in teamwork. A little about ADP: We are a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration and a leader in business outsourcing services, analytics, and compliance expertise. We believe our people make all the difference in cultivating a down-to-earth culture that embraces our core values, welcomes ideas, encourages innovation, and values belonging. We've received recognition for our work by many esteemed organizations, learn more at ADP Awards and Recognition. Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP: ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP’s operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job performance. Ethics at ADP: ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click https://jobs.adp.com/life-at-adp/ to learn more about ADP’s culture and our full set of values.