ML Systems Architect Jobs in Bengaluru

Conversational AI Lead / Architect Location: Bangalore | Employment Type: Full-time About the Role We are looking for a skilled and experienced Conversational AI Lead/Architect to join our team at Avaamo. In this role, you will be responsible for designing, developing, and implementing cutting-edge Conversational AI solutions. As a subject matter expert, you'll work closely with IT managers, business teams, and customers to understand their requirements and deliver high-impact solutions that enhance the Avaamo platform. Responsibilities Lead the design, coding, and implementation of Avaamo s Conversational AI products, ensuring solutions meet both technical and business needs. Collaborate with IT managers and business stakeholders to gather requirements and translate them into actionable technical solutions. Drive the implementation of solutions using Conversational Design principles and best practices. Develop, deploy, and maintain customized extensions to the Avaamo platform tailored to specific customer requirements. Provide technical guidance and training sessions to partner and customer development teams, ensuring smooth onboarding and ongoing success. Evaluate reported defects and prioritize them for resolution, ensuring product quality and customer satisfaction. Travel to customer locations for on-site support, providing hands-on assistance and expertise as needed. Document best practices, implementation guidelines, and "how-to" guides to support customer and partner teams in leveraging Avaamo s products effectively. Requirements (Mandatory) 6+ years of strong programming experience in JavaScript, HTML, and CSS. Proven expertise in creating and consuming REST APIs and SOAP services. In-depth knowledge of web technologies and current industry trends. Solid understanding of security in web applications and services. At least 2 years of experience using Node.js, with a deep understanding of its architecture. Hands-on experience with Git and other version control systems. Experience deploying web applications on Linux servers in production environments. Familiarity with deployment processes and CI/CD tools. Exceptional communication skills, with the ability to work with both technical and non-technical teams. Minimum of 2 years of experience in client-facing roles, working closely with customers to deliver solutions. Good to Have Full-stack development experience, with expertise in UI/UX design or insights. Working knowledge of AI, ML, and NLP technologies. Experience with enterprise system integrations, such as MS Dynamics CRM, Salesforce, ServiceNow, and MS Active Directory. Experience implementing Single Sign-On (SSO) in web/mobile applications. Ability to quickly learn new technologies and manage small engineering teams. At Avaamo, we re redefining the future of Conversational AI. We specialize in creating advanced conversational interfaces that solve high-impact challenges for enterprises. Join our team and contribute to pioneering AI-driven technologies that are transforming how businesses engage with customers and employees.

Data Scientist I Job Type: Full-Time Category: Data Science Location: Bangalore About Bright Money Bright is a mission-driven consumer fintech company helping Americans get out of debt and build stronger financial futures powered by data science and machine learning. Our mobile platform provides personalized tools for credit building, debt paydown, budgeting, and loan refinancing. With 300,000+ users, 100,000+ reviews, and support from top-tier investors like Sequoia, Falcon Edge, and Hummingbird, Bright is one of the fastest-growing fintech startups in the U.S. We ve raised $90M+ in equity and debt funding to date. We're proud to be building a global-first, data-driven consumer tech company from India, for the world. About the Role As a Data Scientist I, you will be part of a high-impact team using data and machine learning to power Bright s core financial products. You ll work on problems that directly improve users financial outcomes modeling behavior, predicting intent, and enabling smarter, automated experiences. This is a hands-on role for someone with strong fundamentals in ML, statistics, and programming, and a desire to turn data into real-world product impact. Key Responsibilities Design and build predictive models using core concepts of machine learning, statistics, and probability. Analyze large-scale user and transactional data to extract insights and inform strategy. Collaborate cross-functionally with product managers, engineers, and business stakeholders to define and solve problems. Deploy ML models into production environments, ensuring scalability, stability, and performance. Tune, evaluate, and interpret model results to maximize business value and user outcomes. Document methodologies and workflows for reproducibility and team collaboration. Stay current with AI/ML advancements and experiment with new techniques as appropriate. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Strong grasp of ML and statistical concepts (e.g., regression, classification, hypothesis testing, probability distributions). Proficiency in Python or R, and experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch. Familiarity with model deployment tools and frameworks (e.g., Docker, Flask/FastAPI, MLflow). Understanding of how to implement and monitor models in a real-world production environment. Awareness of modern AI techniques including transformers, LLMs, and generative AI. Strong problem-solving skills, curiosity, and ability to communicate complex ideas clearly. Exposure to cloud platforms like AWS, GCP, or Azure is a plus. Bonus Points For Experience with deep learning and advanced neural network architectures. Understanding of MLOps best practices (CI/CD for ML, monitoring, retraining pipelines). Personal projects, open-source contributions, or research publications in AI/ML. What You ll Work On Model user behavior and financial patterns to power intelligent product features. Analyze complex transaction datasets to surface actionable insights. Build and deploy ML systems that personalize savings and debt management strategies. Apply deep learning, reinforcement learning, and LLMs to real-world fintech use cases. Collaborate with engineering and product teams to launch data-powered experiences in the Bright app. Experiment with cutting-edge AI technologies to innovate in consumer finance. At Bright, you ll go beyond theory you ll use data to change lives. This is your chance to build meaningful, scalable machine learning systems that empower users to take control of their financial future. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related quantitative field

Lead Platform Engineer Observability Solutions Location: Bengaluru Experience: 6 10 Years Function: Observability Engineering | Platform Architecture | SRE Enablement Join VuNet Redefining Digital Observability at Scale VuNet is transforming the future of digital experiences through Business Journey Observability, combining Big Data and AI/ML to empower real-time visibility across payments, banking, and financial services. Monitoring 28+ billion transactions/month, our platform is trusted by top financial institutions and powers over 300 million users. Backed by Series B funding and recognized by Gartner, NASSCOM, and Forbes, we are leading the charge in building a new category of observability, proudly Made in India for global impact. Your Role: Lead Platform Engineer As the Lead Platform Engineer, you will architect and drive the development of packaged observability solutions across 100+ infrastructure and application technologies. You will define **golden signals**, build **data collection strategies**, and lead the standardization of alerts, dashboards, and RCA workflows for platforms like **Kubernetes, Oracle DB, and Tomcat**. This is a cross-functional leadership role that sits at the intersection of product, platform, DevOps, and SRE. You will **lead a team** and influence how observability is delivered, scaled, and adopted across complex environments. Key Responsibilities Observability Solution Development Design and lead the delivery of observability packages for databases, middleware, cloud-native, and legacy platforms. Define and implement data collection pipelines, including agents, APIs, logs, metrics, traces, and service discovery. Establish **golden signals, SLIs/SLOs**, and health KPIs for performance, availability, and anomaly detection. Dashboards, Alerts & RCA Develop standardized, reusable dashboards, alerts, reports, and troubleshooting playbooks. Automate **RCA workflows** to improve MTTR and reduce alert fatigue. Platform Enablement & Integration Work with engineering to enhance agent capabilities and support new data sources/formats. Guide implementation of platform features for better observability at scale. Team Leadership & Governance Lead and mentor a team of observability engineers and specialists. Define design patterns, reusable modules, and version-controlled libraries. Stakeholder Collaboration Partner with product managers, DevOps, SREs, and customer teams to gather requirements, align priorities, and validate use cases. Ensure deliverables are scalable, well-documented, and production-ready. What You Bring Must-Have Skills 6 10 years of experience in observability, platform engineering, or SRE roles. Hands-on with tools like Prometheus, Grafana, OpenTelemetry, ELK/EFK, Datadog, Splunk. Strong understanding of logs, metrics, traces, profiling, and collection strategies. Experience developing solutions for platforms like Kubernetes, Oracle, PostgreSQL, Tomcat, etc. Proficient in Python, Shell scripting, APIs, and automation tools (**Terraform**, etc.). Familiar with alert fatigue mitigation, anomaly detection, and RCA frameworks. Excellent communication, technical leadership, and documentation skills. Nice to Have Experience managing an observability marketplace or solution catalog. Contributions to open-source observability projects. Certifications in Kubernetes, Observability platforms, or cloud providers (AWS/GCP/Azure). Background in ITSM tools, CMDBs, or incident workflow automation. At VuNet, you ll help build a category-defining observability platform that s already transforming critical infrastructure for leading financial institutions. You ll work with passionate engineers, push technical boundaries, and grow in a high-trust, high-impact environment. What You ll Experience: Ownership of key observability initiatives impacting 300M+ users. Collaboration with SRE, DevOps, and product teams across real-time financial systems. Opportunity to experiment with and shape Gen AI, ML, and emerging telemetry trends. Perks & Benefits Health insurance for you, your parents, and dependents. 1:1 mental wellness support. Training programs, certifications, and career growth opportunities. Transparent, inclusive, and high-trust work culture. Access to cutting-edge technology and Gen AI-powered workspaces.

Job Title: AI/ML Engineer Location: Bangalore Experience: 4 5 Years Qualification: Bachelor s or Master s Degree in Computer Science or a related field Job Description Design and develop machine learning and deep learning systems tailored to business needs. Select and preprocess appropriate datasets; implement and optimize ML algorithms. Conduct machine learning experiments, run tests, and perform statistical analysis to fine-tune models. Train, retrain, and maintain ML systems to ensure accuracy and performance. Extend and customize existing ML libraries and frameworks. Stay updated with the latest research and advancements in machine learning and AI. Requirements Proven experience as a Machine Learning Engineer or similar role. Strong understanding of data structures, data modeling, and software architecture. Deep knowledge of mathematics, probability, statistics, and algorithms relevant to ML. Proficiency in writing clean, robust code in Python. Experience with ML frameworks such as TensorFlow or PyTorch, and libraries like scikit-learn. Skilled in deploying ML models and developing APIs for production environments. Experience with AWS cloud and ML services; knowledge of SageMaker is a plus. Qualification : Bachelors or Masters Degree in Computer Science or a related field

Distinguished Engineer Machine Learning Engineering Location: Bangalore Company: Capital One India About Us At Capital One India, we re redefining how technology powers financial services. Our teams work in a fast-paced, intellectually rigorous environment to tackle complex business challenges at scale. By harnessing the power of advanced analytics, data science, and machine learning, we create innovative, patentable solutions that transform customer experiences and drive the business forward. Team Overview: Machine Learning Experience (MLX) The MLX team leads Capital One s mission to build scalable, well-managed ML systems and platforms. We empower teams across the enterprise to develop, govern, and deploy machine learning models efficiently, securely, and at scale. From automated model governance to observability platforms, MLX enables end-to-end ML lifecycle management laying the foundation for AI-driven innovation across the organization. Role Overview We re looking for a Distinguished Engineer Machine Learning Engineering to join our MLX team. In this high-impact role, you'll architect and implement the platforms and tools that support model observability, automated governance, and ML model deployment at scale. This is an opportunity to drive enterprise-wide innovation and shape how ML is integrated into Capital One s core business systems. What You ll Do Design and build systems that capture and analyze large-scale model and feature metadata, including training metrics and runtime performance, to power model observability and governance automation. Partner with cross-functional teams including product managers, designers, and platform engineers to create scalable solutions that accelerate ML model lifecycle management. Lead efforts to enable automated governance decisions for ML models, ensuring compliance, auditability, and operational integrity. Architect and implement high-performance data pipelines that feed ML models with real-time and batch data. Contribute to the design and implementation of cloud-native ML systems using tools such as AWS, Kubernetes, and Terraform. Write clean, scalable, production-grade code in languages like Python, Go, or Java. Implement CI/CD pipelines, testing frameworks, and monitoring systems for ML applications. Drive the adoption of best practices in ML Ops, observability, and platform resilience. Basic Qualifications Master s Degree in Computer Science or related field. 15+ years of experience in software engineering or solution architecture. 10+ years building data-intensive, distributed computing systems. 10+ years programming in Python, Go, or Java. 8+ years of hands-on experience with industry-leading ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Dask, Spark). Preferred Qualifications PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field. 5+ years of experience building, scaling, and optimizing production ML systems. Deep expertise in data preparation, feature engineering, and ML pipeline optimization. 10+ years writing performant, maintainable, and resilient production code. Strong experience deploying ML solutions on public cloud platforms (AWS, Azure, GCP). Expertise in distributed systems, file systems, or multi-node databases. Open-source contributor to ML tools or libraries. Published work in ML (papers, patents, blogs, etc.). 5+ years of experience in ML Ops (using MLflow, TFX, Kubeflow, etc.). Experience with LLMs and Generative AI applications (open-source or commercial models). Proven experience designing production-ready observability platforms for ML applications. Be at the forefront of building scalable, secure, and enterprise-grade ML platforms. Shape the future of AI and ML adoption in a top-tier financial institution. Collaborate with world-class engineers and data scientists. Solve real-world problems with high business impact. Thrive in a diverse, inclusive, and innovation-focused culture. Qualification : PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

Lead Fullstack Engineer Location: Bangalore Company: Capital One India About Capital One India At Capital One India, we thrive in a fast-paced, intellectually rigorous environment where we solve real-world business problems at scale. By combining advanced analytics, data science, and machine learning, we unlock powerful insights and build cutting-edge, patentable technology products that drive innovation and impact. Team Overview: Machine Learning Experiences (MLX) The MLX team is at the core of Capital One s AI/ML transformation. We re shaping the way the enterprise builds, deploys, and monitors ML models and features providing the tools and platforms that enable every business line to deliver AI-powered experiences. From platform onboarding to observability, MLX sets the foundation for responsible, scalable machine learning across Capital One. Role Overview We are seeking a Lead Fullstack Engineer to architect and develop scalable, cloud-native applications that power our ML platforms. You ll be responsible for leading technical initiatives, mentoring team members, and driving the development of full-stack systems with a primary focus on Python and Go, and a working proficiency in React. This is a hands-on leadership role requiring deep cloud expertise (AWS), backend scalability know-how, and familiarity with ML observability concepts. What You ll Do Lead cross-functional teams on full-stack development projects that support machine learning platforms and observability tools. Design and develop robust applications using Python, Go, and React, adhering to scalable and maintainable coding principles. Architect cloud-native solutions on AWS, leveraging services such as Lambda, ECS, S3, DynamoDB, SQS, and IAM. Implement and optimize CI/CD pipelines, containerization with Docker/Kubernetes, and other DevOps best practices. Work closely with ML engineers and data scientists to enhance observability and monitoring for ML models in production. Utilize open-source frameworks to accelerate development and maintain system performance. Collaborate with product managers to deliver user-centric, cloud-based solutions that drive real customer impact. Conduct code reviews, mentor engineers, and maintain high technical standards across the team. Contribute to backend optimization, API development, and integration with real-time data systems. Required Qualifications 7 10 years of experience in software development, with a strong background in backend and full-stack systems. Expertise in Python and Go; strong ability to build scalable, maintainable systems. Proficiency in React for frontend development (medium level). Hands-on experience with AWS services such as Lambda, ECS, S3, DynamoDB, IAM, and SQS. Experience with ML observability frameworks and tools. Knowledge of open-source development frameworks and cloud architecture patterns. Proficiency in CI/CD, containerization (Docker, Kubernetes), and modern DevOps practices. Strong problem-solving abilities and a track record of leading technical initiatives in agile environments. Preferred Qualifications Experience monitoring ML models in production and integrating observability tools. Knowledge of event-driven architecture and microservices. Familiarity with GraphQL, WebSockets, and real-time data communication. Understanding of data streaming architectures and processing pipelines. Why Join Capital One Be part of a team building enterprise-scale platforms that power ML for millions of customers. Work on impactful, cloud-native solutions in a collaborative and high-growth environment. Collaborate with world-class engineers, data scientists, and product leaders. Enjoy a culture that values experimentation, learning, and technical excellence.

Principal Associate Full Stack Engineering (GenAI Observability) Location: Bangalore Company: Capital One India About Us At Capital One India, we re tackling some of the most complex problems in financial services using machine learning, advanced analytics, and cloud-first engineering. Our mission is to build cutting-edge, patentable solutions that transform customer experiences, enhance operational efficiency, and ensure robust risk and compliance standards. We re a team of makers, breakers, doers, and disruptors obsessed with turning data into real-world impact at scale. About the Team Machine Learning Experiences (MLX) The MLX team is pioneering the future of model governance, ML observability, and Generative AI infrastructure at Capital One. We re enabling teams to seamlessly deploy ML and GenAI models at scale, with full visibility into performance, health, compliance, and ethical usage. This is the platform powering the next generation of AI-driven financial products across the company. About the Role We re looking for a Principal Associate Full Stack Engineer to lead the development of observability platforms for Generative AI systems. You ll be part of a cross-functional team focused on governance automation, LLM monitoring, and intelligent diagnostics using telemetry data, metadata, and advanced analytics. You ll design systems to collect, analyze, and visualize performance data from our large-scale GenAI infrastructure, helping data scientists and engineers make faster, safer decisions. What You ll Do Lead architecture and development of observability tools and dashboards for monitoring GenAI models and platform health. Design and build core APIs and SDKs to instrument large language models (LLMs) and foundational models (training, fine-tuning, prompting stages). Integrate Generative AI to enable observability features like anomaly detection, predictive analytics, and copilot-assisted troubleshooting. Partner with platform, MLOps, and governance teams to ingest and analyze telemetry, metadata, and runtime metrics at scale. Drive development of tools to ensure compliance with AI ethics, data governance, and industry regulations. Collaborate with product, design, and research to turn complex requirements into scalable, cloud-native software solutions. Lead proof-of-concept initiatives to test and showcase how GenAI can improve platform observability and decision-making. Contribute to the open-source community and stay at the forefront of GenAI and ML infrastructure evolution. Basic Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field 4+ years of experience building distributed, data-intensive systems using microservices architecture 4+ years of experience in backend development with Python, Go, or Java 4+ years of expertise with observability stacks (Prometheus, Grafana, ELK) and adapting them for AI systems Strong knowledge of OpenTelemetry, and experience building custom SDKs and APIs 5+ years of hands-on experience with Generative AI models, especially applied to observability, governance, or compliance 2+ years of experience with cloud platforms such as AWS, Azure, or GCP Preferred Qualifications 4+ years building and optimizing ML systems in production environments 3+ years of experience with MLOps tools like MLflow, Kubeflow, or commercial platforms Experience with GenAI frameworks and libraries like LangChain, Haystack, and vector databases (FAISS, Chroma, OpenSearch) Familiarity with emerging observability tools for LLMs such as Langfuse, Phoenix, Helicone, or OpenInference Contributor to open-source GenAI or ML infrastructure projects Author or co-author of published work in AI/ML observability, governance, or performance monitoring Experience with PyTorch, TensorFlow, Spark, or Dask Knowledge of NVIDIA GPU telemetry, CUDA programming, and performance optimization for AI workloads Understanding of AI ethics, data governance, and regulatory frameworks for machine learning systems Why Join Capital One India Work at the intersection of technology, AI, and compliance helping shape the future of responsible AI Join a team driving enterprise-wide adoption of Generative AI Collaborate with world-class engineers, data scientists, and product leaders Enjoy a high-performance culture that encourages innovation, learning, and mentorship Access to cutting-edge tools, open-source contributions, and cloud-native infrastructure Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field

Job Title: Software & Algorithm Design Engineer Robotics Location: Bengaluru Overview: We are seeking a talented Software and Algorithm Design Engineer to join our Robotics team. The ideal candidate will have a strong foundation in machine learning, computer vision, and image processing, coupled with practical experience in developing and optimizing algorithms for real-world robotics applications. This role demands proficiency in C++, familiarity with GPU computing, and a systems-level approach to problem-solving. Key Responsibilities: Develop and model new Machine Learning architectures and algorithms from the ground up. Apply expertise in machine vision and image processing to solve complex robotic perception problems. Classify and evaluate various ML models, understanding their benefits, limitations, and evolution. Parameterize problems with a clear understanding of system-level and process-level impacts. Translate and optimize DSP and/or Neural Network-based algorithms for high performance. Build robust test frameworks to validate algorithm correctness and performance. Collaborate closely with cross-functional teams to deliver production-ready, reliable robotics software beyond prototyping stages. Document code and algorithm design meticulously to ensure maintainability and clarity. Utilize GPU technologies, including CUDA, to accelerate algorithm performance. Required Skills & Qualifications: Strong grasp of Machine Learning fundamentals and practical ML toolkits. Proficient in C++ (Python proficiency assumed). Solid background in Machine Vision and Image Processing. Understanding of control systems is a plus. Familiarity with GPU application development and CUDA programming (expert level not required). Experience optimizing algorithms related to DSP or Neural Networks. Skilled in building comprehensive test frameworks for software validation. Passionate about documentation and writing clean, readable code. Comfortable working within a software development lifecycle to create production-quality software. Preferred Knowledge: ML Architectures and Neural Networks Digital Image Processing & Machine Vision CPU and GPU Architectures CUDA and GPU Programming Basic Software Design Patterns Memory Architecture & Optimization Techniques Algorithm Performance Optimization Tools & Technologies: C++ CUDA cuDNN and other machine learning frameworks Computer Vision libraries (e.g., OpenCV)

Job Title: AI/ML Architect Location: Bangalore, India Experience: 15 17 Years Employment Type: Full-Time Overview: We are seeking an experienced AI/ML Architect with 15 17 years of overall experience, including 2 3 years in project management. This strategic role requires deep expertise in AI/ML technologies, enterprise AI architecture, and hands-on delivery of cutting-edge solutions such as autonomous AI agents and generative AI platforms. The architect will lead the design, proposal, and execution of AI-driven solutions across diverse client engagements. Key Responsibilities: Solution Architecture & Design: Design and evolve robust AI/ML architectures incorporating autonomous agents, scalable business intelligence, and generative AI. Collaborate with cross-functional teams (data scientists, ML engineers, UX designers, and business strategists) to convert business needs into technical designs. Evaluate emerging technologies, frameworks, and trends to guide architectural roadmaps and innovation strategies. RFP Response & Proposal Development: Lead the technical response for RFPs, creating solution frameworks that align with client objectives and industry standards. Draft detailed technical proposals, use cases, and presentations to demonstrate the business value and ROI of AI solutions. Partner with sales and business teams to align proposals with market needs and positioning. Project Delivery & Technical Leadership: Oversee full AI/ML solution lifecycles from architecture design to deployment and monitoring ensuring compliance, quality, and performance. Provide hands-on guidance and mentorship to technical teams, promoting best practices in data science, ML model development, and deployment pipelines. Manage project schedules, resource planning, and risk mitigation for successful delivery outcomes. Stakeholder & Cross-Functional Collaboration: Act as the primary technical liaison across teams, ensuring stakeholder alignment on vision, progress, and technical challenges. Conduct technical workshops, reviews, and solution demos to showcase innovation and architectural decisions. Innovation & Continuous Improvement: Monitor industry trends, publications, and competitor offerings to integrate innovative features into AI/ML initiatives. Continuously refine and optimize existing platforms, ensuring scalability, performance, and user-centricity. Required Skills & Qualifications: 15 17 years of overall experience with 2 3 years in a leadership/project management role. Strong track record in AI/ML architecture, especially with autonomous agent systems, enterprise AI, and generative AI technologies. Proficient in modern AI/ML frameworks (TensorFlow, PyTorch, etc.), data pipelines, and cloud platforms (AWS, Azure, GCP). Experience designing and implementing end-to-end AI solutions in complex, data-driven environments. Demonstrated success in crafting technical proposals and responding to RFPs. In-depth knowledge of NLP, deep learning, traditional ML, and AI product integration. Effective project and stakeholder management skills; able to balance priorities across multiple projects. Excellent communication and presentation skills, with the ability to articulate AI value to technical and non-technical stakeholders.

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.

Job Title: Staff Machine Learning Engineer Location: Bengaluru, Karnataka, India Job Type: Full-Time (Hybrid Work Model) Experience Level: 6-10+ Years About Eightfold.ai: At Eightfold.ai, we re revolutionizing the way organizations find, manage, and empower talent. As a leader in AI-driven HR tech, our groundbreaking platform is transforming industries by using artificial intelligence to solve talent management challenges at scale. We are looking for exceptional engineers to join our team and be at the forefront of innovation in the field of AI. About the AI/ML Team: The AI/ML team at Eightfold is passionate about building cutting-edge solutions and pushing the boundaries of applied machine learning. We work with massive datasets and tackle complex, real-world challenges to develop state-of-the-art AI models. Our models are transforming how companies approach talent management, and we are looking for a Staff Machine Learning Engineer to help lead this journey. What You Will Do: As a Staff Machine Learning Engineer, you will play a critical role in leading and inspiring our ML team while architecting and implementing scalable, robust ML pipelines for our core products. Lead and Inspire: Mentor and guide a team of talented ML engineers, fostering a collaborative environment that encourages innovation. Architect and Implement: Design and build scalable ML pipelines that power Eightfold s core products. Innovate and Optimize: Develop novel algorithms and continuously enhance the performance, accuracy, and scalability of our models. Solve Complex Problems: Work on challenging real-world problems, including NLP, recommendation systems, and predictive analytics. Stay Ahead of the Curve: Research and implement cutting-edge techniques in deep learning, reinforcement learning, and other emerging fields. LLM & NLP Expertise: Design and implement scalable solutions using Large Language Models (LLMs), fine-tuning them for specific NLP tasks, and developing LLM-powered applications. What You Bring: Required Skills & Experience: Deep Expertise in ML & AI: Strong foundation in Machine Learning, Deep Learning, and Natural Language Processing (NLP) with a proven track record of developing and deploying ML models at scale. Technical Leadership: Experience leading and mentoring teams, with excellent communication and collaboration skills. Problem-Solving Mindset: Ability to analyze complex problems and develop innovative solutions. Passion for AI: Genuine enthusiasm for pushing the boundaries of AI and its real-world applications. Advanced Skills in Python & ML Frameworks: Proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch), along with experience in big data technologies like Hadoop and Spark. CS Fundamentals & Coding: Strong foundation in computer science fundamentals and coding languages (Python, C/C++, Java, Scala, R). GenAI & LLM Expertise: Experience in developing and deploying LLM-powered applications, with knowledge of LLM fine-tuning techniques, optimization strategies, and ethical considerations. Nice to Haves: 6-10+ years of experience in Machine Learning and AI. MS or PhD in Computer Science or related field. Publications in top-tier AI conferences. Contributions to open-source ML projects. Familiarity with Generative AI (GenAI), Transformers, and LLMs. Impactful Work: Play a pivotal role in shaping the future of AI and its applications in talent management. Innovative Environment: Work on cutting-edge projects with world-class experts in the field of AI/ML. Career Growth: Accelerate your career in a dynamic, fast-paced environment with abundant opportunities for professional growth. Hybrid Work Model: Embrace a flexible work environment with the ability to collaborate remotely and in-person at our Bengaluru or Noida offices twice a week starting February 1, 2024. Competitive Benefits: Comprehensive family medical, vision, and dental coverage, a competitive base salary, equity awards, and discretionary bonuses or commissions. How to Apply: If you're a passionate AI/ML engineer ready to take on challenging problems and make a meaningful impact, we d love to hear from you. Join Eightfold.ai and help shape the future of AI-powered talent intelligence! Qualification : MS or PhD in Computer Science or a related field

Job Title: Principal Engineer Location: Bangalore, Karnataka, India Job Type: Full-Time | Hybrid Experience Level: 15+ Years About Eightfold.ai Eightfold.ai is on a mission to solve one of the most pressing problems of our society employment. We are reimagining how individuals connect with the right opportunities by focusing on potential, not just past experience or networks. Our AI-powered Talent Intelligence Platform helps global organizations hire, develop, and retain diverse talent more effectively. With over $410M in funding and a valuation exceeding $2 billion, we are backed by some of the world s top investors. Join us and be part of a fast-growing company that s making a global impact. About the Team You will join the core team behind our flagship Talent Acquisition (TA) product, a critical revenue-generating platform used by global enterprises. This team: Drives end-to-end feature development and platform scalability. Integrates the latest in AI and Large Language Models (LLMs). Accelerates hiring outcomes for customers worldwide. Builds new products and enhances existing ones for long-term value. What You ll Do As a Principal Engineer, you will play a pivotal technical leadership role, influencing architecture, mentoring engineers, and ensuring robust product delivery. Lead architecture & design of complex, scalable systems that power our core products. Hands-on development of mission-critical features and services. Mentor and coach engineers through code reviews, design discussions, and best practices. Collaborate cross-functionally with product managers, designers, and engineering leaders to align technical execution with business goals. Drive innovation by integrating emerging technologies like LLMs, cloud-native tooling, and modern dev practices. Participate in strategic planning and recruit top engineering talent through hiring initiatives and technical evaluations. Represent the team in internal and external tech talks, meetups, and conferences. 15+ years of hands-on software engineering experience with a proven track record in product companies. Deep expertise in scalable distributed systems, microservices architecture, and cloud-native platforms. Passion for clean, maintainable, high-performance code and a commitment to engineering excellence. Experience building large-scale web applications in a SaaS or startup environment. Excellent communicator and natural leader with the ability to inspire engineers and drive impact. Familiarity with modern tech stacks and cloud platforms (AWS, GCP, or similar). Self-starter with strong ownership, curiosity, and problem-solving skills. Engineering Culture at Eightfold At Eightfold, you won t be handed just a task you ll be given ownership and purpose. We believe in: Responsibility over hierarchy Transparency and open communication Continuous learning and improvement Fast, iterative execution Making a real-world impact Work Model & Benefits Hybrid Work Model: We believe in flexibility and collaboration. Our team works from the Bangalore office two days a week, with plans to transition to three. What We Offer: Competitive compensation & equity options Comprehensive health benefits for you and your family Cutting-edge work on AI, ML, and platform-scale technologies Global exposure and opportunities for rapid career growth Equal Opportunity Statement Eightfold.ai is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, religion, gender, age, or background. If you're a hands-on technical leader passionate about scalable architecture, mentorship, and real-world AI applications, we d love to hear from you. Apply now to shape the future of employment with Eightfold.ai.

Lead Software Engineer - Backend Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is redefining service intelligence. Backed by top-tier venture capitalists in Silicon Valley and a distinguished group of angel investors, we are recognized as a startup to watch. Our AI-driven platform helps enterprises make accurate service decisions at scale by delivering service predictions in seconds through the analysis of structured and unstructured data. We work across industries, including high-tech devices, manufacturing, and medical devices, enabling service leaders to excel in critical metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you ll be part of an innovative and dynamic team that is shaping the future of service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. This is your chance to make an impact in a fast-growing startup and work with cutting-edge technology. About the Team As a Lead Software Engineer - Backend, you will play a crucial role in architecting, developing, and optimizing backend systems for our groundbreaking products. You will lead a talented team, collaborating across functions to deliver scalable and high-performance systems. As a leader, you ll also mentor and guide junior engineers to help them grow in their careers. What You ll Do: Backend Systems Design: Lead the design and implementation of scalable, reliable, and high-performance backend systems. Distributed Systems: Develop and optimize distributed systems to handle large-scale traffic and data. System Architecture: Lead the architecture and design of critical components, ensuring robust and efficient solutions. Code Development: Write clean, maintainable, and efficient code that powers our AI-driven platform. Cross-Functional Collaboration: Work closely with product managers, frontend engineers, and other stakeholders to deliver end-to-end solutions. Troubleshooting & Debugging: Solve complex production issues and implement reliable, performance-optimized solutions. Mentorship: Provide guidance and mentorship to junior and mid-level engineers, fostering a collaborative environment. Continuous Learning: Stay updated on the latest trends and advancements in backend development, AI, and distributed systems. What We re Looking For: Experience: Minimum 10 years of professional experience in backend development, with at least 4 years of experience in AI, NLP, or ML. Programming Skills: Expertise in one of the following programming languages: Java, Python, or Golang. Distributed Systems: Proven experience in building and maintaining distributed systems at scale. Cloud Platforms: Familiarity with at least one major cloud platform (Azure, AWS, or GCP). System Design: Strong understanding of system design, architecture patterns, and data structures. Database Knowledge: Experience with relational and NoSQL databases. API Development: Proficiency in developing RESTful APIs and microservices. Security & Performance: Solid understanding of security best practices and performance optimization in backend systems. Problem-Solving Skills: Strong analytical skills with a proven track record of solving complex engineering challenges. Communication: Excellent communication skills with the ability to collaborate across teams and interact with non-technical stakeholders. Preferred Skills: Containerization: Experience with Kubernetes, Docker, or other containerization tools for scalable deployment. Messaging Systems: Familiarity with Kafka, RabbitMQ, or similar messaging systems for real-time data processing. CI/CD: Knowledge of CI/CD pipelines and automation tools to ensure efficient development and deployment. Data Pipelines: Familiarity with data pipelining frameworks such as PySpark, Flink, or similar for real-time processing. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making through advanced AI technology, and we are dedicated to delivering excellence in every aspect of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Work from home or from our vibrant Bengaluru office with hybrid work arrangements Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re excited about building innovative backend solutions and want to work with cutting-edge technologies in a forward-thinking team, we d love to hear from you!

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.

AI Platform Architect Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is changing the world through digital experiences. Whether you're an emerging artist or a global brand, our tools empower creativity and innovation across every screen. From powerful imaging and video solutions to immersive web and app design, Adobe s mission is to help people and businesses deliver exceptional digital experiences. We are committed to creating an inclusive workplace where everyone is respected and given equal opportunity. Innovation can come from anywhere and the next big idea could be yours. Job Description We are looking for a visionary AI Platform Architect with deep expertise in building and scaling cloud-native, AI-powered platforms. The ideal candidate will have experience deploying large-scale, customer-facing AI solutions and a deep understanding of modern cloud architecture, data systems, MLOps, and LLMOps. Responsibilities Design and develop scalable AI/ML platforms and pipelines across AWS, Azure, and GCP. Architect end-to-end LLM pipelines including model training, fine-tuning, serving, inference APIs, and monitoring. Lead cross-functional teams in delivering AI solutions from experimentation to production. Implement MLOps and LLMOps best practices using tools like MLFlow, SageMaker, Langchain, and LangGraph. Design GPU-optimized architectures for training and inference of LLMs using DeepSpeed, vLLM, and other modern frameworks. Support infrastructure automation and container orchestration with Kubernetes, Docker, and CI/CD pipelines. Collaborate with internal stakeholders and clients to understand requirements, evangelize platform solutions, and ensure successful delivery. Key Skills and Expertise Cloud and DevOps: Expertise in AWS, Azure, GCP especially VPC design, cloud databases, and serverless architecture. Certified in AWS Professional Solution Architect, AWS ML Specialty, or Azure Solutions Architect Expert (preferred). Proficient with Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus. Data and Streaming: Experience with OLTP/OLAP databases and cloud-native data warehouses like BigQuery, Aurora, Spanner. Hands-on with Kafka, Apache Flink, Spark, Airflow, Databricks, Apache Iceberg, Presto. AI/ML & LLM Expertise: In-depth understanding of LLMs (GPT, Gemini, Claude, Mixtral, Llama, Hugging Face OSS models). LLMOps frameworks: Langchain, Langgraph, Langflow, Flowise, LLamaIndex. ML lifecycle tools: MLFlow, SageMaker, Vertex AI, Azure AI, AWS Bedrock. Proven experience in model optimization, fine-tuning, and high-throughput inference systems. Programming Languages: Proficient in Python, SQL, and JavaScript. Preferred Qualifications 10+ years in cloud and AI/ML platform architecture roles. Experience delivering AI solutions for enterprise-scale clients. Hands-on experience with GPU architecture and parallel/distributed training. Strong communication skills with ability to influence technical and business stakeholders. Work on cutting-edge AI technologies and shape future product experiences used by millions. Collaborate with world-class engineers and scientists in a diverse, inclusive culture. Be part of a company that values creativity, innovation, and employee well-being. Adobe is proud to be an Equal Opportunity Employer. We welcome and encourage candidates from all backgrounds to apply.

Machine Learning Engineer 5 Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is transforming the world through digital experiences. From individual creators to global enterprises, our tools empower everyone to create stunning visuals, videos, applications, and more. We believe in fostering an inclusive and innovative workplace where ideas can come from anyone, anywhere and the next big breakthrough could be yours. The Opportunity Adobe Express enables users from beginners to professionals to design eye-catching content with ease, powered by advanced AI technologies. At the heart of this mission is the AI Foundations team, which is building modular, reusable AI systems and the Horizon AI Stack to supercharge the Adobe Express experience. As a founding member of this elite team, you will tackle strategic AI challenges and deliver scalable, high-impact solutions. What You ll Do Drive the vision and development of reusable, cloud-scale AI systems for Adobe Express. Collaborate with Adobe Research, Applied AI teams, and engineering stakeholders to align AI capabilities with product strategy. Lead all aspects of ML product development: data pipelines, model development, and quality evaluations. Recruit, mentor, and manage a high-performing team of ML engineers and data scientists. Balance cutting-edge research with business-critical deliverables prototyping new ideas, validating, and scaling them. Foster a culture of innovation, experimentation, and scientific rigor focused on solving customer problems. Ensure engineering excellence in architecture, development, and on-time delivery of AI solutions. Basic Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Machine Learning, Applied Math, Data Science, or related field. 8+ years of industry experience in machine learning, deep learning, or optimization algorithms. 3+ years of experience managing ML/AI teams in a product-focused environment. Preferred Qualifications Experience working in creative tools, design platforms, or imaging domains. Familiarity with LLMs, Diffusion Models, and generative AI techniques. Proven experience in building large-scale, production-grade ML systems. What You Need to Succeed Demonstrated success in building and managing top-tier ML teams that deliver high-quality solutions. Experience shipping widely adopted AI-driven features to large customer bases. Customer-obsessed with a strong product sense and ability to translate user needs into AI capabilities. Outstanding communication skills able to articulate technical ideas to both technical and non-technical audiences. Strong problem-solving, leadership, and strategic decision-making abilities. Work at the intersection of creativity and AI building technologies that empower millions of users globally. Collaborate with world-class researchers and engineers in a mission-driven, inclusive environment. Enjoy robust career growth, leadership opportunities, and excellent employee benefits. Adobe is proud to be an Equal Opportunity Employer. We believe diversity fuels innovation and we re committed to building an inclusive environment for all employees. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Machine Learning, Applied Math, Data Science, or related field.

Senior Machine Learning Engineer Location: Bengaluru, India Company: Chevron Experience Required: 5 10 Years Department: AI/ML Engineering Work Mode: Hybrid / Global Operations Support About the Role Chevron is actively seeking a Senior Machine Learning Engineer to join our cutting-edge AI team. You will be responsible for designing, building, and optimizing advanced machine learning systems that power transformative applications in artificial intelligence. In this role, you will develop self-learning applications and refine AI systems using robust engineering, statistics, and software design practices. Key Responsibilities Study and transform data science prototypes into production-ready systems Design scalable and robust machine learning systems Research and implement modern ML algorithms and tools Develop ML applications based on business and technical requirements Select appropriate datasets, data pipelines, and data representation techniques Run experiments and evaluate results to fine-tune models Perform statistical analysis and ML performance optimization Train and retrain models as new data becomes available Extend and customize existing ML libraries and frameworks Stay up to date with the latest ML research and trends Required Qualifications 5 10 years of proven experience as a Machine Learning Engineer or in a similar role Hands-on experience with Azure Machine Learning and MLOps Strong skills in data structures, data modeling, and software architecture Deep knowledge of math, probability, statistics, and algorithm design Proficient in programming languages: Python, R Familiarity with ML frameworks and libraries such as Keras, PyTorch, scikit-learn Excellent analytical and problem-solving skills Strong communication and teamwork abilities Working Hours Chevron supports international teams. Work hours are scheduled to align with global collaboration: Work Days: Monday to Friday Shift Options: 8:00 AM 5:00 PM or 1:30 PM 10:30 PM IST Opportunity to work on impactful ML/AI solutions at enterprise scale Flexible work culture with global exposure Advanced tools, infrastructure, and data at your fingertips Professional growth in a forward-thinking, innovation-driven environment Equal Opportunity Statement Chevron is an equal opportunity employer and adheres to inclusive hiring practices. All qualified candidates will receive consideration without regard to race, gender, age, religion, nationality, sexual orientation, disability, or any other protected status. Chevron also participates in E-Verify as required by law in applicable jurisdictions. Apply Today

Senior Engineer AI/ML, C/C++ Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary As a Qualcomm Software Engineer, you will design, develop, modify, and validate embedded and edge cloud software or specialized utility programs that launch cutting-edge, world-class products. Collaboration is key in this role, working across systems, hardware, test, and architecture teams to meet software performance and interface requirements. About the Role We are seeking a talented AI/ML Engineer with a solid background in AI/ML, C/C++, and operating systems. The ideal candidate has 3 to 5 years of experience in machine learning development and implementation and will be responsible for building and deploying AI gateway solutions that promote innovation and operational efficiency. Required Qualifications Bachelor's or Master s degree in Computer Science, Engineering, or related field. 3 to 5 years of experience in AI/ML development. Technical Skills Strong proficiency in C and C++ programming. Deep understanding of operating system internals and functions. Experience with ML frameworks like TensorFlow, PyTorch, or equivalent. Strong grasp of data structures, algorithms, and software design patterns. Experience in data preprocessing techniques and related tools. Familiarity with Git and version control best practices. Soft Skills Excellent analytical and problem-solving skills. Strong communication and collaboration abilities. Self-motivated with the ability to work independently and as part of a team. Adaptable and eager to stay updated with evolving technologies. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or related field.

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.