AI System Optimization Jobs in Bengaluru

ERP Engineer Location: Bengaluru Department: Hardware Employment Type: Full-Time About Dozee Dozee Health AI is a pioneer in AI-powered, contactless Remote Patient Monitoring (RPM) and Early Warning Systems (EWS), driving transformation in healthcare at scale. Headquartered in Bengaluru, Dozee has quickly emerged as India s #1 RPM company. Trusted by leading healthcare providers across India, the USA, and Africa, Dozee s innovative solutions enhance patient safety, improve outcomes, and reduce costs. We aim to Save a Million Lives with Health AI. Role Overview We are looking for an ERP Engineer to manage and optimize Microsoft Dynamics ERP modules, ensuring seamless performance and data integrity across our systems. You will work alongside technical and business teams to implement customizations and integrations that enhance our operational efficiency and scalability. Key Responsibilities ERP Management & Customization Manage and maintain Microsoft Dynamics ERP modules to ensure system stability and optimal performance. Develop and deploy customizations, workflows, and process automations that align with business needs. Integrate ERP with internal systems (CRM, HRMS, Finance) and third-party applications using APIs and data connectors. Collaboration & Implementation Collaborate with cross-functional teams to analyze business requirements and design ERP solutions. Conduct testing, document new features, and support system enhancements. Provide troubleshooting and technical support to ensure minimal system downtime. Training & Optimization Lead end-user training and create user manuals for smooth ERP adoption. Monitor system performance, suggest improvements, and optimize ERP configurations. Work with stakeholders to enhance ERP processes in finance, procurement, inventory, and production. Requirements Experience & Qualifications 3 5 years of hands-on experience with ERP management, customization, and integration. Specific experience with Microsoft Dynamics 365 Business Central / Dynamics NAV is preferred. Bachelor s or Master s degree in a relevant field. Skills Strong understanding of ERP architecture, data structures, and business workflows. Experience with integration tools and middleware such as Azure Integration Services or Power Automate. Familiarity with project management tools like JIRA, Confluence, or Asana. Personal Attributes Strong analytical and problem-solving abilities with high attention to detail. Excellent communication skills and the ability to collaborate with multiple stakeholders. Why Join Dozee Be part of a mission-driven company transforming healthcare with AI. Work with top healthcare providers and cutting-edge technology. Opportunity to drive impactful change in a high-growth, fast-paced environment. Qualification : Bachelors or Masters degree in a relevant field

AI Agent Engineer Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. We enable enterprises to deploy AI agents that automate customer interactions, delivering natural conversations with predictable outcomes. Our platform combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. We also empower teams to guide and augment human agents with AI copilots, while analyzing 100% of interactions for insights, coaching, and quality management. Leading companies like DoorDash, Affordable Care, Signify Health, and Verida rely on Observe.AI to accelerate service speed, increase operational efficiency, and strengthen customer loyalty across all channels. We re looking for an AI Agent Engineer to take the lead in building and deploying enterprise-grade Voice, Chat AI agents, and AI Copilot solutions. This role is hands-on, customer-facing, and crucial for bringing AI solutions to life from design and integration to deployment and optimization. As an AI Agent Engineer, you'll **own the end-to-end lifecycle of AI agents**: from building and integrating them to testing, deploying, and tuning performance to meet client requirements. What You ll Be Doing: AI Agent Development & Deployment: Take full ownership of building and deploying AI agents, including designing prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement & Demos: Lead weekly client demos, showcase progress, gather feedback, and act as the primary technical contact once the solution is defined. Systems Integration: Configure and integrate APIs, handle data mappings, manage authentication, error handling, and connect AI agents to CRMs, databases, or knowledge systems. Telephony Integration: Set up and optimize SIP/CCaaS/PSTN routing, configure fallbacks, pass metadata, and troubleshoot call quality issues. Optimization & Iteration: Continuously monitor agent performance, refine prompts, conduct iterative tests, and ensure agents meet automation and containment targets. Strategic Consultation: Translate customer requirements into actionable solutions, while working consultatively to unblock challenges related to security, connectivity, or knowledge ingestion. Collaboration with Engineering: Work alongside the product and engineering teams for deeper technical fixes and platform improvements, while leading client delivery independently. What You ll Bring to the Role: 3+ years of experience in conversational AI, ML engineering, or system integration, with hands-on delivery of AI/LLM-based solutions. Strong expertise in prompt engineering, workflow building, API integration, and telephony systems (SIP, Twilio, Amazon Connect, etc.). Familiarity with Large Language Models (GPT, Claude, Gemini) and orchestration frameworks like LangChain and LlamaIndex. Solid ML knowledge in areas such as embeddings, retrieval-augmented generation (RAG), evaluation frameworks, and fine-tuning models for optimal performance. Proficiency in programming languages such as Python, JavaScript, or similar. Customer-facing experience, with the ability to lead deep technical discussions and conduct weekly project demos. A strong problem-solving mindset, with the ability to find workarounds, unblock integrations, and adapt to unique customer ecosystems. Bachelor s degree in Computer Science, Engineering, or a related technical field. Experience with Integration Platform-as-a-Service (iPaaS) providers such as n8n, Zapier, or similar, and a strong understanding of API integrations and data flow management. Extensive hands-on experience with telephony integrations, including protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits: Medical Insurance: Comprehensive medical coverage and free online doctor consultations. Generous Leave Policies: Annual privilege and sick leave (as per Karnataka S&E Act), national and festive holidays, plus parental leave. Learning & Development Fund: Support for continuous learning and professional development. Fun Team Culture: Regular fun events to foster a collaborative and engaging work environment. Flexible Benefit Plans: Tax-saving benefits (meal cards, PF, etc.) and other flexible benefit options. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field

Gen AI Support Engineer-2 Location: Bengaluru Experience: 4 7+ years Employment Type: Full-time About Us Exotel is the leading full-stack customer engagement platform and virtual telecom operator for emerging markets. Since its inception in 2011, Exotel has been powering 50 million daily engagements across voice, video, and messaging channels. We provide our unified customer engagement solutions to over 6000 companies globally, including industry leaders like Ola, Swiggy, Flipkart, GoJek, Byjus, Urban Company, HDFC Bank, Zomato, and Oyo. With $100 million in Series D funding and an ARR of $60 million, Exotel is a growth-stage company poised for massive impact. Overview We're seeking a Gen AI Support Engineer-2 to join our team. As an L2 Support Engineer, you will be the highest level of technical escalation within the support organization. Your role will encompass system reliability, platform integrity, troubleshooting mission-critical production issues, and collaborating with engineering teams for architecture feedback. Additionally, you'll help mentor junior engineers and improve operational processes and tools for large-scale environments. If you're passionate about writing clean code with Python and Django and want to contribute to a fast-paced, mission-driven company, this role is for you! Responsibilities Mission-Critical Issue Resolution: Own the resolution of high-priority, time-sensitive production issues. Root Cause Analysis (RCA): Lead RCA reviews and push for systemic improvements in system architecture and processes. Performance Optimization: Identify bottlenecks and propose architectural changes to improve system performance and scalability. Patch Management: Assist in configuring, deploying, and testing patches, releases, and application updates to production environments. SME for Production Systems: Serve as the Subject Matter Expert (SME) for Exotel's production systems and integrations. Cross-Team Collaboration: Work with Delivery, Product, and Engineering teams to influence system design, rollout strategies, and improvement plans. Mentorship: Lead and mentor L1/L2 engineers on troubleshooting best practices and continuous learning. Code Writing & Automation: Write clean, maintainable code for internal tools, scripts, and automation using Python and Django. Support Tooling: Automate recovery workflows and design support tools for proactive monitoring. Operational Excellence: Establish and improve SLAs, monitoring dashboards, alerting systems, and operational runbooks to ensure system reliability. Must Have Skills Backend Development Support: 3+ years of experience in backend development support, production support, or DevOps/SRE roles. Core Technologies: Proficiency in Python, Django, SQL, and troubleshooting in Linux. Web Technologies: Strong understanding of HTML, CSS, JavaScript, and other web technologies. Distributed Systems & Cloud: Experience working with distributed systems, cloud architecture (AWS), Docker, and Kubernetes. Automation: Strong scripting skills with Bash/Python for automation and operational support. CI/CD & Observability: Good understanding of CI/CD, observability tools, and release management workflows. Communication Skills: Excellent communication, leadership, and incident command skills for managing production issues and cross-functional collaboration. Nice to Have Experience with AI-powered systems and machine learning technologies. Familiarity with monitoring systems like Prometheus, Grafana, or Elasticsearch. Knowledge of microservices architectures and scaling distributed systems. Innovative Work: Be at the forefront of cloud-based communications technology and AI-driven customer engagement platforms. Impact: Play a key role in maintaining and optimizing systems that power millions of customer interactions daily. Growth Opportunities: Be part of a fast-growing company with ample learning opportunities and career development. Collaborative Environment: Work in a supportive, inclusive environment where your input and ideas matter. Competitive Benefits: Comprehensive benefits package including health insurance, mental wellness support, and more.

Test Engineer (Senior QA Engineer / SDET) Department: R&D - Engineering Location: Bangalore About Acqueon: Acqueon is a leading provider of Generative AI-powered Revenue Execution Platforms. We empower customer-centric brands to orchestrate multi-channel campaigns and proactively engage consumers through voice, messaging, and email. Trusted by over 200 clients globally, we help enterprises elevate their customer experience, improve revenue recovery, increase sales, and build lasting loyalty. At the heart of Acqueon is a relentless focus on creating delightful, friction-free, and referral-worthy customer experiences using cutting-edge AI and data-driven technology. Position Overview: We are seeking a talented and experienced Senior QA Engineer / SDET to join our growing engineering team. This role focuses heavily on performance testing and test automation, ensuring our applications meet the highest standards of scalability, reliability, and usability. You will work in a collaborative environment with developers, DevOps engineers, and product teams, taking ownership of designing and executing complex test strategies using tools such as JMeter, Gatling, k6.io, and Selenium WebDriver. Key Responsibilities: Design, develop, and execute performance tests for web applications and backend APIs using JMeter, Gatling, or k6.io. Create realistic test scenarios and simulate workloads to evaluate system behavior under varying conditions. Conduct performance tuning and optimization, identify system bottlenecks, and provide recommendations for improvement. Work closely with development teams to analyze test results, diagnose issues, and drive resolutions. Build and maintain automation frameworks using Selenium WebDriver with Java, Cucumber, JUnit, TestNG, or Playwright. Contribute to the integration of performance and functional tests into CI/CD pipelines. Participate in architectural and design discussions to ensure performance considerations are included from the outset. Document test strategies, metrics, and findings, and communicate them clearly across teams. Required Qualifications: Bachelor s degree in Computer Science, Engineering, or a related field. 6 7 years of experience in performance testing and test automation. Strong hands-on experience with JMeter, Gatling, or k6.io. Expertise in building and executing performance test plans for web applications and APIs. Deep understanding of performance metrics, system tuning, and capacity planning. Proficiency in automation using Selenium WebDriver with Java, and frameworks like Cucumber, JUnit, TestNG, or Playwright. Solid knowledge of web technologies, protocols (HTTP/S), and application architecture. Strong analytical skills, attention to detail, and ability to work in dynamic, fast-paced environments. Excellent communication and collaboration skills. Preferred Experience: Experience with Agile/Scrum methodologies. Familiarity with CI/CD pipelines and tools like Jenkins, GitHub Actions, or GitLab CI. Exposure to cloud-based performance testing environments. Experience with monitoring tools (e.g., Grafana, Prometheus, New Relic) is a plus. What We Offer: A fast-paced, high-growth environment working on next-gen customer engagement products. The opportunity to work with cutting-edge technologies and global enterprise clients. A collaborative, people-first culture that values curiosity, ownership, and excellence. If you re passionate about quality, performance, and automation and love solving complex challenges we d love to hear from you. Qualification : Bachelors degree in Computer Science, Engineering, or a related field

Position: Senior AI Solutions Engineer Location: Bangalore, India Shift: 2:00 PM 11:00 PM IST (EMEA/US support hours) About Workato Workato is the market leader in enterprise orchestration, enabling 400,000+ global customers to streamline operations by connecting data, apps, and processes. Powered by AI, its platform drives agility through intelligent automation. Recognized by Forbes, Deloitte, and Business Insider, Workato offers a dynamic and collaborative culture that blends innovation with work-life balance. Role Overview As a Senior AI Solutions Engineer, you'll play a key role in building and deploying intelligent, agent-based systems and Retrieval-Augmented Generation (RAG) solutions using Workato s Agentic AI platform. This is a highly technical, hands-on role that blends AI/ML expertise, integration design, customer engagement, and scalable solution delivery. Key Responsibilities AI Engineering & Solution Architecture Design and deploy multi-agent AI workflows that are autonomous, adaptive, and goal-directed. Develop robust RAG pipelines using LLMs and Workato connectors to generate grounded, real-time responses. Implement intelligent memory, prompting, and behavior management strategies for AI agents. Technical Leadership Act as the technical expert for AI-driven architectures using Workato s automation and orchestration platform. Architect scalable AI-powered workflows integrating Workday, NetSuite, Salesforce, ServiceNow, etc. Own performance monitoring, troubleshooting, and continuous optimization of AI systems. Customer Collaboration Work directly with customers to design and deliver tailored Agentic AI and RAG solutions. Communicate complex AI concepts clearly to business and technical stakeholders. Champion exceptional customer service and solution success. Cross-Functional Collaboration Support product managers with technical specifications and solution design. Contribute to internal knowledge bases, best practices, and thought leadership. Participate in product ideation, rapid prototyping, and iterative improvement. Required Qualifications Technical Skills BTech/BE in CS, AI/ML, or related field. 8+ years in solution architecture and development; 3+ years on Workato platform required. Solid foundation in AI agent systems, RAG, and large language models (LLMs). Strong experience with APIs (REST, SOAP), JSON, and relational or NoSQL databases. Programming experience: Java, Python, or Ruby (2 3 years). Hands-on integration experience with middleware, iPaaS, BPM, or RPA platforms. Familiarity with automation tools like Dell Boomi, MuleSoft, or TIBCO is a plus. Bonus Knowledge Familiarity with OAuth, SSO, MFA, and cloud platforms (AWS/GCP/Azure). Experience with enterprise SaaS apps (e.g., Salesforce, Workday, ServiceNow, NetSuite). Exposure to event-driven architecture and microservices. Soft Skills & Mindset Strong communication and storytelling skills. Critical thinker with an entrepreneurial mindset. Self-starter with the ability to work independently and across teams. Passionate about solving complex technical problems and delivering value.

Position: Senior Manager, Salesforce Operations Location: Bengaluru, India (Hybrid 3 days onsite) Company: Samsara Technologies India Pvt. Ltd. About Samsara Samsara (NYSE: IOT) leads the Connected Operations Cloud, empowering industries like transportation, agriculture, and manufacturing to harness IoT data for smarter, safer, and more sustainable operations. With a global impact and a fast-scaling culture, Samsara offers unique opportunities to solve real-world challenges with cutting-edge technology. Role Overview Samsara is seeking a Senior Manager, GTMS (Go-to-Market Systems) Operations to lead the Salesforce operations team in Bangalore. Reporting to the Sr. Director of Sales Systems, this role is pivotal in building Samsara s India-based GTMS operations from the ground up, ensuring performance, scalability, and alignment across Sales, Finance, Product, and Business Technology functions. The ideal candidate is an experienced Salesforce operations leader with a passion for systems stability, stakeholder alignment, and continuous process improvement, coupled with strong people leadership and cross-functional collaboration skills. Key Responsibilities Operational Excellence & Governance Lead end-to-end incident and problem management across the Salesforce and GTMS ecosystem. Drive operational stability, reliability, and proactive issue resolution across sales systems. Manage system releases, updates, and quality control processes. Cross-Functional Collaboration Act as a bridge between Sales, Finance, Product, and IT to align systems strategy with business outcomes. Ensure seamless data flow and process integration across enterprise systems. Maintain transparent, regular communication with senior stakeholders. Strategic Planning & Cost Management Build operational strategies that support scale and growth in GTM functions. Optimize resource allocation and control budget and cost efficiency. Support and execute on long-term product and process roadmaps. Team Leadership & Development Build, mentor, and manage L2/L3 operations teams based in India. Foster an inclusive, high-performing team culture with strong talent development practices. Define KPIs and continuously improve team performance through coaching and process optimization. Vendor, Compliance & Risk Management Manage third-party vendor relationships and evaluate tools to enhance operational delivery. Enforce compliance, data security, and privacy standards within the systems landscape. Minimum Qualifications Bachelor s degree in IT, Business, or a related field (Master s preferred). 3+ years experience in a Salesforce-focused operations leadership role. Proven expertise in Salesforce Sales Cloud, CPQ, and GTM systems integration. Deep operational experience in system support, QA, and incident management. Strong executive presence, communication, and stakeholder influencing skills. High level of business acumen and ability to align tech strategy with business goals. Ideal Traits Strategic thinker with a passion for customer-centric system design. Strong collaborator across technical and non-technical teams. Agile leader ready to scale operations in a hyper-growth, data-driven environment. Curious about using AI and automation to elevate system reliability and performance. Qualification : Bachelors degree in IT, Business, or a related field (Masters preferred).

Job Title: Senior AI Engineer Location: Bengaluru, Karnataka, India Department: GenAI Experience: 4.5 to 7 years Open Positions: 5 About the Role As a Senior AI Engineer, you will design, build, and maintain scalable AI solutions with a strong focus on Generative AI technologies such as large language models (LLMs), embeddings, and retrieval techniques. You will lead a team of AI engineers and collaborate with stakeholders to deliver impactful AI-driven products aligned with business goals. Your role includes mentoring, project planning, ensuring data quality, and driving continuous process improvements. Key Responsibilities Design, develop, and deploy scalable AI/ML solutions, specializing in advanced Generative AI (LLMs, embeddings, retrieval-augmented generation, prompt engineering). Lead, mentor, and develop a team of AI engineers in a collaborative, inclusive environment. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure projects align with overall business objectives and data strategies. Oversee data quality, integrity, and security in AI engineering projects. Build reusable frameworks to enhance the efficiency and scalability of AI systems. Manage client communications to translate requirements into technical outcomes. Identify skill gaps and create opportunities for professional development. Drive initiatives for improving data operations and AI delivery efficiency. Required Technical Skills 4.5 to 7 years of experience developing and deploying scalable AI/ML solutions. Strong expertise in data modeling, relational and NoSQL databases, software development lifecycle, unit testing, and functional programming. Proficient in designing and implementing advanced Generative AI solutions including LLMs, embeddings, retrieval techniques, and prompt engineering. Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems. Proficiency with Databricks workflows, including job and cluster management, and API usage. Solid understanding of data structures, algorithms, multiprocessing, and optimization techniques. Skilled in Python libraries such as Pandas, NumPy, FastAPI for data processing and API development. Expertise in SQL optimization and database schema design. Experience deploying AI models using Docker and Kubernetes. Familiarity with version control using GitHub. Hands-on experience with cloud platforms like Azure, AWS, or GCP for AI deployments. Optional experience with PySpark for data processing. Basic understanding of CI/CD pipelines and deployment best practices. Required Non-Technical Skills Strong problem-solving ability with financial impact awareness in both team management and solution delivery. Excellent verbal and written communication skills, comfortable interacting with mid-level client management. Ability to balance pragmatic solutions versus perfect outcomes and rally teams accordingly. Strong interpersonal skills including conflict resolution, empathy, negotiation, and active listening. Demonstrated leadership and mentorship capabilities. Self-motivated with a strong sense of ownership. Good to Have Familiarity with data visualization tools and techniques. Understanding of data security, privacy, governance, and compliance frameworks. Experience with graph databases and graph processing frameworks. Knowledge of data virtualization and federation methods. Skills in data profiling and data quality management. Education Bachelor s degree in Engineering, Computer Science, or a related field. Qualification : Bachelors degree in Engineering, Computer Science, or a related field.

AI-ML Architect Bangalore, India Location: Bangalore Experience: 10 to 15 Years Role: AI-ML Architect Industry: IT Software / Artificial Intelligence & Machine Learning Job Overview: We are seeking a highly experienced AI-ML Architect to lead the design and implementation of advanced AI and Machine Learning systems. The ideal candidate will have extensive expertise in deep learning frameworks, system-level optimization, and scalable infrastructure, driving innovation in AI across cloud and distributed environments. Key Responsibilities: Architect, develop, and optimize deep learning and neural network applications on Windows and Linux platforms Build, train, and fine-tune advanced AI/ML models using frameworks such as PyTorch, TensorFlow, and Caffe Optimize neural network performance at the kernel level for scalability across diverse hardware architectures Lead development and deployment of AI models using techniques like Reinforcement Learning, Transfer Learning, and Federated Learning Design and develop web services and REST APIs with strong proficiency in Python and C/C++ Automate AI/ML model deployment, management, and scaling using Docker, Kubernetes, and MLOps best practices Work with hardware acceleration technologies such as OpenVINO, OneAPI DPC++, OpenCL, and CUDA to enhance performance Design and implement microservices-based AI infrastructure supporting distributed cloud environments Collaborate with cross-functional teams to integrate AI solutions with enterprise cloud architectures Required Skills & Experience: 10+ years of experience in system software development on Windows or Linux Proven expertise with deep learning frameworks: PyTorch, TensorFlow, Caffe Strong background in Reinforcement Learning, Transfer Learning, and Federated Learning Proficient in Python and C/C++ programming Hands-on experience with RESTful API development Experience automating deployments using Docker, Kubernetes, and MLOps tools Knowledge of GPU and accelerator programming: OpenVINO, CUDA, OpenCL preferred Strong understanding of cloud and distributed computing infrastructures Experience adopting microservices architecture for scalable AI platforms Preferred Qualifications: Advanced degree in Computer Science, AI, Machine Learning, or related fields Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Experience in leading AI teams and mentoring architects and engineers Lead AI innovation on cutting-edge projects with global impact Collaborate in a high-growth, fast-paced environment fostering continuous learning Work with advanced AI infrastructure and state-of-the-art hardware acceleration technologies Opportunity to shape AI architecture and influence strategic technology decisions Qualification : Advanced degree in Computer Science, AI, Machine Learning, or related fields

Role: Senior Analyst Machine Learning Performance & Testing Location: Bengaluru, Karnataka, India Experience: 3 5 Years Employment Type: Permanent, Full-Time About the Role We are seeking a skilled and detail-oriented Senior Analyst with strong experience in ML model performance testing, load testing, and end-to-end (E2E) automation. This role is focused on ensuring scalable, low-latency deployment of production-grade machine learning models. The ideal candidate will be proficient in evaluating model performance under varied workloads, building robust test frameworks, and enhancing system monitoring. Key Responsibilities Conduct load testing and performance benchmarking for machine learning models under varying requests per second (RPS) scenarios. Develop and automate end-to-end test cases to validate model readiness and support smooth rollouts. Monitor and improve model scalability, response time, and error rates across production environments. Collaborate with ML engineers, backend developers, and QA test teams to ensure seamless integration and testing workflows. Identify and address bottlenecks in model inference, helping improve performance for high-volume, low-latency applications. Set up alerting and observability pipelines for model health using industry-standard tools. Required Skills & Tools Performance Testing & Monitoring: ML Load Testing, Job Monitoring, Model Scalability Evaluation Platforms & Tools: Databricks, MLflow, Seldon, Kubeflow, Tecton, Jenkins Cloud Services: Experience with AWS and deploying/testing models in cloud environments Programming Languages: Proficiency in at least one of the following Python, Java, Scala Experience: Working with production-level ML models, especially involving high data volumes and real-time inference Strong communication skills and ability to work in cross-functional teams Preferred Qualifications Hands-on experience with CI/CD pipelines for ML systems Knowledge of A/B testing and canary deployments for ML models Experience building testing frameworks for ML infrastructure at scale Understanding of monitoring and alerting best practices in production ML systems Be at the forefront of ML operations and model performance optimization Collaborate with industry-leading engineers and contribute to cutting-edge AI deployments Gain deep exposure to real-time data systems, cloud platforms, and enterprise-scale ML testing Competitive compensation and an innovative, fast-paced work environment

Job Title: Software Engineer, Backend (AI Team) Location: Bengaluru, India Company: LimeChat About LimeChat LimeChat is building the future of conversational commerce enabling brands to deliver human-level interactions at scale via WhatsApp and other messaging platforms. As a proud graduate of Y Combinator s Winter 2021 batch, we serve 300+ top-tier brands like HUL, ITC, Wow Skin Science, Piramal Health, and Snitch. Our mission is simple: use Generative AI to automate and personalize customer interactions in e-commerce and now expanding into BFSI, Health, and Retail sectors. If you're a backend engineer who thrives on impact, collaboration, and building innovative systems at scale, this is your opportunity to do work that truly matters. What You ll Do Architect and Develop Backend Systems: Design robust, scalable backend architectures for AI products that handle millions of conversations. Integrations and APIs: Build and maintain seamless, secure integrations with third-party platforms and internal services. Work with AI Products: Collaborate with ML engineers and product teams to connect AI models and agents to real-time customer journeys. Database Management: Design and optimize relational and NoSQL databases (e.g., PostgreSQL, MongoDB). Performance & Reliability: Identify bottlenecks and implement backend improvements to ensure high performance and reliability. Collaborate Cross-Functionally: Work closely with product, design, and frontend teams to ship features that delight users. Write Clean, Maintainable Code: Follow best practices in code quality, documentation, and testing. Participate in peer code reviews. You Should Have Must-Haves 2 4 years of backend experience in a high-growth tech/startup environment Proficiency in Python, Node.js, and frameworks like Django Strong command of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB) Solid understanding of RESTful API design and best practices Experience with Git, code reviews, and agile development workflows Excellent debugging and code analysis skills, including performance optimization Nice-to-Haves Hands-on experience with Docker, Kubernetes, or other container orchestration tools Familiarity with CI/CD pipelines (GitLab CI, Jenkins, etc.) Experience with API load testing, monitoring, and observability tools Exposure to AI/ML pipelines and/or conversational AI systems Why You ll Love Working Here Massive Impact: Join a lean, fast-moving team where your work directly influences product and user experience. Innovation-First Culture: Work at the intersection of AI, automation, and customer experience. Smart Team: Collaborate with ex-founders, IITians, and top engineers. Fast-Growth Startup: Backed by leading VCs and part of Y Combinator, we re scaling globally. Ownership and Autonomy: You ll be trusted to take full ownership and drive initiatives end to end. Quotes We Live By It s okay to fail. It s not okay to not try. Do the right thing when others are not looking. Apply now and be part of the LimeChat revolution.

Job Title: Machine Learning Engineer III Location: Bangalore, India Company: Glance An InMobi Group Company About Glance Founded in 2019, Glance is a cutting-edge consumer technology company operating innovative digital platforms including Glance, Roposo, and Nostra. Our flagship Glance Lock Screen reaches over 450 million smartphones worldwide, delivering personalized, context-driven content without requiring app downloads. Roposo redefines live streaming experiences with creator-led interactive content, and Nostra stands as the largest gaming platform in India and Southeast Asia, offering immersive gaming and social engagement. Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group. At Glance, we believe in empowering you to dream big, innovate boldly, and own your impact from day one. Collaborate with talented peers on mission-critical projects leveraging bleeding-edge technology to disrupt consumer experiences. Enjoy perks including daily meals, gym access, training sessions, state-of-the-art tech tools, and a family-friendly workspace where your kids and pets are always welcome. Role Overview We are seeking a skilled Machine Learning Engineer III passionate about designing, developing, deploying, and scaling high-impact ML solutions. You will partner closely with data scientists, engineers, and product teams to build end-to-end ML systems, microservices, and APIs that power AI-driven products on Glance s platforms. Key Responsibilities Architect and implement scalable ML solutions to accelerate experimentation, model building, and deployment. Develop microservices and APIs for serving machine learning models and services efficiently. Design, prototype, and build new ML/AI products and proof-of-concepts in collaboration with cross-functional teams. Explore and adopt new platforms, algorithms, and technologies to enhance ML capabilities. Manage project priorities, deadlines, and deliverables while maintaining transparent communication across teams. Take ownership of end-to-end ML engineering lifecycle from research collaboration to production deployment. Preferred Qualifications 5+ years of professional experience as a Machine Learning Engineer with a proven track record of delivering impactful ML solutions. Bachelor s, Master s, or PhD degree in Computer Science, Mathematics, Statistics, or related analytical fields. Deep theoretical and practical knowledge of recommender systems, computer vision (CNNs), GPU optimization, and generative AI models. Proficiency in Python, Golang, Spark, and familiarity with popular data science and ML libraries. Strong background in advanced mathematics, statistics, and algorithmic problem solving. Excellent technical documentation skills and demonstrated leadership in driving cross-functional projects. Experience working in data science or research-oriented roles with a passion for solving complex challenges. Join Glance and contribute to building next-generation AI-driven consumer experiences. Apply now to be part of a visionary tech team in Bangalore! Qualification : Bachelors, Masters, or PhD degree in Computer Science, Mathematics, Statistics, or related analytical fields.

Backend Engineer - RAG & ML Specialization Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai Sarvam.ai is a cutting-edge generative AI startup based in Bengaluru, India, on a mission to make AI accessible and impactful for Bharat. We develop high-performance, cost-effective AI agents tailored to the Indian market, empowering enterprises to unlock new opportunities and create meaningful customer connections. Join us as we reshape AI for India and beyond. Role Overview As a Backend Engineer specializing in RAG (Retrieval-Augmented Generation) systems and Machine Learning (ML) applications, you'll be building scalable backend systems that power AI-driven services. Your work will be critical in developing high-performance platforms for voice and generative AI applications, ensuring secure, scalable, and seamless AI model deployments. Key Responsibilities Backend Development: Design, develop, and maintain scalable, efficient backend applications and RESTful APIs using Python and FastAPI. RAG System Implementation: Build and optimize Retrieval-Augmented Generation (RAG) systems for AI applications, focusing on enhancing AI-driven search and retrieval capabilities. Data Pipeline Management: Develop and manage data pipelines and workflows for integrating AI and ML models into production systems. Code Quality: Ensure adherence to coding best practices, including writing modular code, implementing unit tests, and conducting code reviews. Cross-functional Collaboration: Work closely with AI/ML engineers, data scientists, and other teams to integrate machine learning models into backend systems. Database Optimization: Optimize database queries and efficiently manage both structured and unstructured data. CI/CD Practices: Continuously integrate and deploy code, using version control systems like Git and CI/CD pipelines. System Architecture: Contribute to architectural discussions and improvements, focusing on scalability and performance optimization. Must-Have Skills & Qualifications Educational Background: Bachelor's degree in Computer Science, Engineering, or a related technical field. Programming Skills: Strong proficiency in Python, with a solid understanding of programming fundamentals. Web Frameworks: Experience building backend services using FastAPI, Flask, or Django. Database Knowledge: Familiarity with SQL operations and NoSQL databases for efficient data management. AI & ML Exposure: Hands-on experience with Machine Learning and Deep Learning techniques, and understanding of AI model deployment in production environments. RAG Systems Experience: Prior exposure to Retrieval-Augmented Generation (RAG) architectures, with experience building AI-driven search systems. Version Control: Proficiency with Git and understanding of version control workflows. Problem Solving: Strong analytical and debugging skills to address complex technical challenges. Soft Skills: Excellent communication, collaboration, and problem-solving abilities. Good to Have (Preferred Experience) Backend Projects: Demonstrated experience working on backend applications using Python frameworks (FastAPI, Flask, Django) through academic or personal projects. Cloud Knowledge: Basic understanding of cloud platforms and services such as AWS, GCP, or Azure. DevOps & Containers: Exposure to Linux/Unix environments and containerization concepts (Docker, Kubernetes). CI/CD: Experience setting up CI/CD pipelines for automated testing and deployment. Open Source Contributions: Contributions to open-source projects or a strong GitHub profile showcasing backend development expertise. Impactful Work: Work on groundbreaking generative AI applications that are transforming the future of technology in India. Collaborative Environment: Join a high-performing team of AI experts and engineers, driving innovation and delivering real-world solutions. Growth Opportunities: Be a key player in a fast-growing AI startup, with the opportunity to grow alongside the company. Cutting-edge Technologies: Leverage the latest in AI, Machine Learning, and Cloud Technologies to build state-of-the-art systems. Qualification : Bachelor's degree in Computer Science, Engineering, or a related technical field.

Software Engineer III - AI/ML, Platforms and Devices Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience in data structures or algorithms. 1 year of experience in one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred Qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience developing accessible technologies. About the Job Google's software engineers work on cutting-edge technologies that transform how billions of users connect, explore, and interact with information. Our products must handle data at a massive scale, far beyond web search. We seek engineers who bring innovative ideas from various fields, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile development. As a Software Engineer, you will work on training and optimizing complex machine learning (ML) models for the Tensor Processing Unit (TPU). By enabling models across diverse applications like camera, speech, Translate, TTS (Text-to-Speech), and others on Edge TPU, you will gain valuable experience in efficient model architectures, optimization techniques, and on-device machine learning at Google. You will also be responsible for managing project priorities, deadlines, and deliverables. Google's mission is to organize the world s information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, software, and hardware to create radically helpful experiences for users. We design and develop new technologies and hardware to make user interactions faster, more seamless, and powerful. Whether advancing form factors, improving interaction methods, or innovating new ways to capture and sense the world around us, our Devices & Services team is helping make people's lives better through technology. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing. Qualification : Master's degree or PhD in Computer Science or a related technical field.

Software Engineer III - Machine Learning, Google One Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience with data structures or algorithms in either an academic or industry setting. Preferred Qualifications: Experience with Data Analytics, Privacy Data Handling, Privacy Design Document, and Mathematical Optimization. Understanding of Machine Learning (ML). Excellent software engineering and problem-solving skills through programming. Excellent communications skills. About the Job Google software engineers create next-generation technologies that transform how billions of users connect, explore, and interact with information. Our products must scale to handle vast amounts of data, and our work extends far beyond web search. We are looking for engineers with fresh ideas from a variety of areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile technologies. As a Software Engineer at Google, you will work on projects that are critical to Google s needs, with opportunities to switch teams and projects as our fast-paced business grows. We need engineers who are versatile, show leadership qualities, and are enthusiastic about taking on new problems across the full-stack to push technology forward. Google One (G1) is Google s membership service rooted in storage, offering access to premium features. Our team works across multiple product areas to personalize user experiences through Machine Learning. The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments such as desktop, mobile, and applications. These products provide enterprises, and ultimately end users, the ability to utilize and manage services at scale. We build innovative software products from apps to TVs, from laptops to phones that impact people s lives globally. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve them by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Engineer, Principal/Manager - Machine Learning, AI Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced and visionary Principal AI/ML Engineer to lead research, development, and optimization of AI inference systems. This role involves developing high-performance AI models, optimizing deployments across various hardware platforms, and contributing to research in model compression, quantization, and hardware-aware optimization. Education & Experience PhD with 6+ years, Master's with 7+ years, or Bachelor's with 8+ years in Engineering, CS, or related field. 20+ years of experience in AI/ML development; 5+ years in inference optimization and debugging. Key Responsibilities Model Optimization & Quantization Optimize models using quantization (INT8, INT4, mixed precision), pruning, and knowledge distillation. Implement PTQ and QAT techniques for deployment. Experience with TensorRT, ONNX Runtime, OpenVINO, TVM. AI Hardware Acceleration & Deployment Target platforms: Hexagon DSP, CUDA GPUs, TPUs, NPUs, FPGAs, Habana Gaudi, Apple Neural Engine. Use Python APIs: cuDNN, XLA, MLIR for hardware acceleration. Benchmark and debug performance across platforms. AI Research & Innovation Research on efficient AI inference: model compression, low-bit precision, sparse computing. Explore architectures like Sparse Transformers, Mixture of Experts, Flash Attention. Publish in ML conferences: NeurIPS, ICML, CVPR; contribute to open-source projects. Technical Expertise Optimization of LLMs, LMMs, LVMs for inference. Deep Learning frameworks: TensorFlow, PyTorch, JAX, ONNX. Expert in CUDA, cuPy, Numba, TensorRT, ONNX Runtime, OpenVINO. Skilled in Python for scalable AI development. Experience with ML runtime delegates: TFLite, ONNX, Qualcomm AI Stack. Debugging: Netron, TensorBoard, PyTorch Profiler, Nsight, perf, Py-Spy. Cloud inference: AWS Inferentia, Azure ML, GCP AI Platform, Habana Gaudi. Hardware-aware optimization: oneDNN, ROCm, MLIR, SparseML. Contributions to open-source and research publications are a strong plus. Leadership & Collaboration Lead a team of engineers in Python-based AI inference and optimization. Collaborate with researchers, software engineers, DevOps, and hardware vendors. Define debugging, deployment, and performance tuning best practices.

Research Engineer Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 0-8 years Company: IBM Research India (IRL) Introduction: IBM Research is the innovation engine of IBM and is the largest industrial research organization in the world. With 12 labs across 6 continents and over 3200 researchers globally, we produce more patents daily than any other organization. At IBM Research India (IRL), we are shaping the future of computing in areas like AI, Hybrid Cloud, and Quantum Computing. Our work is at the forefront of breakthrough innovations in Foundation Models, AI systems, large-scale data engineering, and more. We are looking for top talent to join us in our exciting and dynamic projects, pushing the boundaries of innovation. As a Research Engineer, you will work on pioneering research and development in the most cutting-edge fields of AI and computing. Role Overview: The Research Engineer role at IBM India Research Lab (IRL) involves working on challenging, dynamic, and highly innovative projects in the fields of AI, machine learning, and data systems. Your responsibilities will span multiple areas including optimizing AI models for large-scale distributed systems, pre-training foundation models, and developing real-world use cases that leverage IBM s infrastructure and models. Key Responsibilities: Optimized Runtime Stacks for Foundation Models: Work on fine-tuning, inference serving, and large-scale data engineering for AI models. Focus on multi-stage tuning, reinforcement learning, inference-time compute, and preparing data for complex AI systems. Model Optimization Across Accelerators: Develop solutions to optimize models for multi-accelerator environments, particularly focusing on IBM s AIU accelerator. Work on compiler optimizations, specialized kernels, libraries, and tools to enhance model performance. Pre-training and Deployment of Foundation Models: Participate in pre-training language models and multi-modal foundation models. Work on distributed training procedures, model alignment, and creating pipelines for various tasks, including LLM-generated data pipelines. Research and Use Case Development: Develop and implement use cases that effectively leverage infrastructure and models to drive real-world value. Contribute to creating frameworks for human-data collection and deploying models on user-centric platforms. Required Education and Experience: Education: A Master s degree in Computer Science, AI, or related fields from a top institution. Experience: 0-8 years of experience working with modern ML techniques, including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, and inference optimizations. Technical Skills: Experience with big data platforms such as Ray and Spark. Experience with Pytorch FSDP and HuggingFace libraries. Proficiency in programming with Python or web development technologies. Mindset and Attitude: A growth mindset and pragmatic approach to problem-solving. Preferred Experience: Research Experience: Peer-reviewed research at top machine learning or systems conferences. Advanced Technical Skills: Experience working with pytorch.compile, CUDA, Triton kernels, GPU scheduling, and memory management. Open Source Contributions: Experience working within open-source communities, contributing to or developing open-source projects. Innovative Environment: Be at the forefront of technological innovation, working on cutting-edge projects in AI, quantum computing, and more. Global Impact: Work on projects that influence both academic research and commercial product development, making a global impact. Career Development: IBM offers abundant opportunities for learning and growth, with access to the latest technologies and research. Collaborative Culture: Work with a diverse team of world-class researchers and engineers in a collaborative, open-source-driven environment. Apply today and become a part of the team that s redefining innovation. Qualification : A Masters degree in Computer Science, AI, or related fields from a top institution.

Job Title: AI/ML Engineer (LLM-driven Products) Location: Bengaluru, Karnataka Experience: 3+ years Work Modality: Full-time (Work from office) Job Description: We are seeking an AI/ML Engineer to help develop LLM-driven products from the ground up. The ideal candidate will have a strong programming background and experience working with Transformer architecture to design cutting-edge AI systems. If you're passionate about implementing scalable AI solutions and driving innovation, we would love to have you join our team! As part of the team, you will work on transformer models like BERT, GPT, T5, and other small LLMs for Natural Language Processing (NLP) and Computer Vision tasks. You will have the opportunity to work on impactful AI solutions that are designed to scale globally. Key Responsibilities: LLM Product Development: Design and develop products powered by large language models (LLMs), ensuring they meet the technical requirements and scale for global deployment. Model Fine-tuning & Optimization: Fine-tune transformer models for tasks such as text classification, summarization, image generation, and recognition. Implement optimization techniques to accelerate model performance, including GPU optimization and model quantization. AI Solutions Implementation: Translate AI research into actionable product features, ensuring AI models are implemented effectively to solve real-world problems. Collaboration & Communication: Work closely with cross-functional teams to integrate AI models and solutions into larger products. Communicate complex technical concepts to non-technical stakeholders. Model Deployment: Deploy models using frameworks like Flask, FastAPI, or through cloud-based inference services. Data Preprocessing & Training: Engage in data preprocessing and feature engineering to improve the performance of AI models. Required Qualifications: Experience: 3+ years of hands-on experience in AI/ML, specifically working with Transformer-based models like BERT, GPT, T5, ViTs, or small LLMs. Technical Skills: Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. In-depth understanding of Transformer architecture and its applications in NLP (text classification, summarization) and Computer Vision (image generation, recognition). Experience in deploying models using frameworks like Flask, FastAPI, or cloud-based inference services. Familiarity with GPU acceleration, model optimization, and model quantization. Proficient in data preprocessing, feature engineering, and training workflows. Analytical Skills: Ability to independently analyze open-source code repositories and leverage existing models for further optimization. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Innovative Work Environment: Work on cutting-edge AI and machine learning solutions with the opportunity to shape innovative products. Career Growth: Opportunities to advance your career in AI/ML and work with a team of passionate professionals. Comprehensive Benefits: A benefits package designed to support your overall well-being and work-life balance.

AI & Cloud Solutions Architect - Infrastructure AI COE Introduction The Infrastructure AI Center of Excellence (COE) is a dedicated team of technical professionals focused on leveraging AI to empower IBM Infrastructure employees to be more effective in their jobs or improve customer's experience when they interact with IBM. We along with the AI Guild serves as a vehicle for knowledge sharing, collaboration, & skill development related to AI. Our core objectives are VELOCITY and SAFETY. We want to help roll out AI projects as quickly as possible, while also ensuring that they are done safely and while operating within the guardrails for AI usage within IBM. Your Role and Responsibilities Looking to make a significant impact? This is your chance to become a key technical architect in a dynamic team of talented professionals, designing and architecting innovative, industry-leading, cloud-based AI services. We are seeking an experienced AI & Cloud Solutions Architect to join us. This technical leadership role focuses on designing scalable architectures, establishing technical standards, and providing architectural oversight for AI-based services. You will be instrumental in solving complex technical challenges, designing system architectures, and collaborating with development teams to implement robust AI solutions. You will establish architectural principles and patterns while ensuring technical excellence across projects. Your efforts will ensure scalable, maintainable, and secure AI solutions for our customers. As an essential part of the technical leadership team, you will shape the technical vision while providing architectural guidance to development teams. Design and establish architectural frameworks for AI and cloud-based solutions. Create and maintain technical roadmaps for AI implementations across the infrastructure. Provide architectural oversight and technical direction for complex AI projects. Define technical standards, patterns, and best practices for AI solution development. Evaluate and recommend new technologies and frameworks for AI implementations. Collaborate with development teams to ensure architectural compliance and technical excellence. Design scalable, secure, and maintainable AI solutions. Create detailed architecture documentation and technical specifications. Review and approve technical designs and implementation approaches. Identify and mitigate technical risks in AI solution architectures. Required Education Bachelor's Degree Required Technical and Professional Expertise Minimum 7-12 years of experience in software development with focus on technical architecture. Deep expertise in designing AI solutions using frameworks like TensorFlow, PyTorch, LLMs, Generative AI. Strong background in cloud architecture patterns and microservices design. Extensive experience with distributed systems architecture and design patterns. Expert knowledge of backend technologies, including server-side languages (Node.js, Python, Java) and databases. Proven experience in designing RESTful APIs and event-driven architectures. Deep understanding of Cloud Technologies, Kubernetes, Kafka, Object Storage, and container technologies. Strong background in security architecture and compliance requirements. Experience in designing highly available and scalable cloud services. Expert knowledge of architectural patterns for AI model deployment and integration. Preferred Technical and Professional Experience Experience with emerging AI technologies and architectural patterns. Knowledge of enterprise architecture frameworks. Background in designing solutions for hybrid cloud environments. Experience with performance optimization and scalability design. Strong technical documentation and diagramming skills. Expertise in API design and management. Background in designing event-driven architectures. Experience with infrastructure as code and automation. Knowledge of AI governance and responsible AI principles. Track record of successful large-scale AI solution implementations.

Job Overview Join our collaborative and creative group of AI scientists and machine learning engineers as a Senior AI Scientist! In this role, you'll be instrumental in designing, building, and deploying machine learning models in AI-native applications within our Virtual Expert Platform (VEP). You'll directly impact our customers across QuickBooks, TurboTax, Mailchimp, and Credit Karma, developing AI solutions that enhance customer success by blending AI and human expertise. You'll work on some of the most exciting challenges, from forecasting, capacity planning, optimization, and variance analytics, to recommendation systems and decision systems. The solutions you create will be a key part of multi-billion-dollar services like QuickBooks Live and TurboTax Live. Responsibilities Data Analysis & Modeling: Perform hands-on data analysis and build machine learning models using large datasets. Apply data mining, machine learning (both supervised and unsupervised) to improve algorithms related to relevance and personalization. Collaboration: Work closely with product managers, software engineers, and designers to design experiments and develop minimum viable products (MVPs) that leverage AI technologies. Feature Creation & Refinement: Develop features from raw data, continuously refining models to enhance performance. You'll be experimenting with different features and applying your intuition to make improvements. A/B Testing & Optimization: Run A/B tests, collect data, perform statistical analysis, and assess the impact of your optimizations. Communicate the results to both peers and leaders. Product & Service Innovation: Collaborate with business planners to propose innovative AI-driven products and services. Ensure that AI s power is fully integrated into new services. Infrastructure Collaboration: Work with infrastructure architects to streamline systems and improve data governance for agile and responsive data manipulation. Research & Thought Leadership: Introduce cutting-edge academic or industry research to Intuit leadership to solve complex problems and fuel new business opportunities. Mentorship & Community Building: Serve as an advisor and mentor, helping to grow and nurture a vibrant AI practice within the organization. Qualifications Education: MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field. Experience: 5+ years of experience building AI systems using data mining algorithms and statistical modeling techniques, including: Clustering, Classification, Regression, Decision Trees, Neural Networks, Support Vector Machines, Anomaly Detection, Recommender Systems, Sequential Pattern Discovery, Text Mining, and more. 2+ years of experience in a lead or management role within AI/Data Science. Technical Skills: Proficient in Python and familiar with version control systems like Git/GitHub. Experience with distributed computing and distributed databases (e.g., Hadoop, NoSQL, Hive, Pig). Strong understanding of mathematical concepts and the ability to apply them to create original solutions. Preferred: PhD in a related field. Proven experience working with large-scale machine learning techniques and datasets. Deep experience with Hadoop and related programming environments. Strong problem-solving skills and the ability to communicate complex ideas to both technical and non-technical stakeholders. Soft Skills: Excellent communication skills and experience influencing at an executive level. Strong interpersonal skills for collaborating with technical teams and making impactful presentations to diverse stakeholders. This is an exciting opportunity to be part of a highly innovative team at the forefront of AI and machine learning. You'll be solving complex, high-impact problems that directly influence customer experiences across multiple industries. The role offers the chance to lead cutting-edge AI projects while mentoring a talented team and driving the development of transformative AI-powered solutions. Qualification : MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.

Pricing Process Owner Global Pricing Location: Bengaluru, India About Schneider Electric Schneider Electric is a global leader in energy management and automation, driving digital transformation for sustainability and efficiency. With 160,000 employees in over 100 countries, we develop innovative solutions from simple switches to complex automation systems that help our customers manage and optimize their operations. At Schneider Electric, we believe that Life Is On for everyone, everywhere, at every moment. About the Role We are seeking a Pricing Process Owner to lead the development and implementation of Global Pricing Processes within Schneider Electric. This role is essential in defining pricing best practices, ensuring alignment across countries, and leveraging digital solutions to optimize pricing models. The Pricing Process Owner will play a key role in shaping pricing strategy, driving process transformation, and supporting pricing tool implementation to ensure efficiency and stability in critical business functions. Key Responsibilities 1. Pricing Process Development & Implementation Design Global Pricing Process maps for Country/Operations Price Waterfall Management. Develop global guidelines for pricing processes, including: List Price Management Standard Discount Management Special Price Agreement (SPA) Management SPA Off-Invoice Claim Management Performance Bonus Management Sell-Out Pricing Management Ensure seamless implementation of pricing processes across countries in alignment with global guidelines. Support Pricing System Assessments, identifying gaps and opportunities for process improvements. Lead pricing process transformation projects in various countries, ensuring best practices are adopted. 2. Pricing Tools & Digital Enablement Act as a subject matter expert for pricing tool implementations. Guide project managers and cross-functional teams on pricing tool deployments. Support the adoption of digital pricing solutions such as: Peer Pricing List Price Optimization Price Fx Data-driven pricing tools Drive continuous improvement initiatives by collaborating with optimization experts. 3. Training & Change Management Act as a lead trainer on pricing topics, delivering training sessions across global teams. Support content creation for employee training and development. Promote adoption of new pricing models and innovative pricing analytics. Engage in thought leadership on pricing trends, AI-driven pricing models, and machine learning applications. Qualifications & Experience Required: Bachelor s/Master s degree in Business, Marketing, or a related field. Experience in E-Commerce, Pricing, or Category/Channel Management (preferably in a B2B industry). Strong understanding of Schneider Electric s Price Waterfall (preferred). Hands-on experience with pricing tools, data analytics, and process automation. Familiarity with MS Office Suite (Excel, PowerPoint, Word). Prior experience in tool deployment projects (preferred but not mandatory). Critical Skills & Competencies Analytical & Problem-Solving: Ability to break down complex pricing challenges into implementable solutions. Stakeholder Management: Strong ability to influence and align diverse stakeholders across functions, regions, and seniority levels. Innovative Thinking: Ability to apply AI, Machine Learning, and data analytics to pricing optimization. Communication & Change Management: High proficiency in communication and training delivery for global teams. Multi-Tasking & Flexibility: Ability to handle multiple projects across time zones and regions. Digital Savvy: Passion for technology, automation, and digital transformation in pricing. CPP Certification: Either already certified or willing to complete Certified Pricing Professional (CPP) certification within 6-8 months of joining. Additional Information Travel Requirement: This role may require frequent travel to meet stakeholders, lead training sessions, and oversee process implementations. Travel will follow Schneider Electric s Health & Safety Guidelines and applicable regulations. At Schneider Electric, we value impact-driven individuals who turn sustainability ambitions into action at the intersection of automation, electrification, and digitization. Our IMPACT values Inclusion, Mastery, Purpose, Action, Curiosity, and Teamwork define our culture and drive our success. Join us and become an IMPACT Maker! Apply today and be part of a company that is reshaping industries, transforming cities, and enriching lives. Qualification : Bachelors/Masters degree in Business, Marketing, or a related field.