Faiss Jobs in Bengaluru

Gen AI Engineer - L1 | Bengaluru, India About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global IT consulting and services company with over 230,000 employees across 65 countries. We offer innovative solutions in consulting, engineering, and operations to solve complex digital transformation challenges. Role Overview We are looking for an experienced Gen AI Engineer - L1 with deep expertise in Generative AI, LLMs, RAG pipelines, and Python-based machine learning frameworks. The role will focus on developing secure, scalable AI systems using modern tools and cloud platforms. Key Responsibilities Design, implement, and optimize generative AI models using LangChain, LLaMA, Hugging Face, etc. Develop RAG pipelines and integrate with LLMs for advanced AI solutions. Create, test, and optimize prompt templates across different base models. Implement guardrails for prompt security to prevent prompt injection, jailbreaks, and leaks. Build efficient backend applications using Python, Django, and related tools. Work with vector databases to enhance generative AI workflows. Collaborate on data grooming and model training across business units. Benchmark model performance and develop auto-prompting systems. Ensure adherence to minimum design standards in prompt engineering use cases. Mandatory Skills Gen AI, LLMs, RAG Pipelines LangChain, LLaMA, Hugging Face Python, TensorFlow, PyTorch, Django NLP, Machine Learning, Deep Learning Vector Database integration Preferred Skills Azure or AWS Cloud Platforms MLOps, Kubernetes GitHub, Bitbucket Experience with GPT-4 Domain exposure in Banking or Financial Services Join Wipro to be part of a company that thrives on innovation, reinvention, and digital excellence. Work on impactful GenAI projects, grow your career, and contribute to shaping the future of AI in real-world applications. We welcome applications from individuals with disabilities.

Gen AI AWS Engineer | Bengaluru, India Experience: 8 10 Years Mandatory Skills: AWS, Generative AI About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global leader in consulting and technology services with over 230,000 employees across 65 countries. We provide digital transformation solutions that are innovative, sustainable, and scalable. Role Overview We are hiring a highly skilled Gen AI AWS Engineer to lead the architecture, development, and delivery of AI-driven cloud solutions. This role focuses on leveraging AWS infrastructure and Generative AI technologies to solve complex business problems at scale. Key Responsibilities Architecture and Solution Design Design and implement scalable AI/ML solutions using AWS and GenAI frameworks. Lead solution design for enterprise initiatives and RFPs. Develop architectural documentation and reusable design patterns. Evaluate current architectures and recommend improvements and modernization plans. Delivery Enablement Provide frameworks and technical direction to development teams. Monitor project risks and propose mitigation strategies. Ensure alignment with architecture principles and best practices. Client Engagement Participate in pre-sales activities and client presentations. Build trusted relationships with clients by demonstrating technical thought leadership. Coordinate with stakeholders to ensure successful delivery of AI solutions. Innovation & Competency Building Create PoCs, whitepapers, and solution demos in GenAI and AWS domains. Represent Wipro s capabilities at industry events and internal forums. Mentor junior architects and contribute to internal upskilling initiatives. Team Management Recruit, train, and retain high-performing AI/ML engineers. Conduct performance reviews and set goals for team members. Drive employee engagement and diversity across the architecture team. Be part of a company that thrives on innovation, reinvention, and purpose. Work with cutting-edge Generative AI solutions and lead impactful transformations for global clients. Applications from individuals with disabilities are explicitly welcome.

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

Solution Architect Industrial Agents Location: Bengaluru Team: Global Strategic Services Architecture Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader transforming industrial operations with cutting-edge AI and data solutions. Our key offerings including Cognite Atlas AI and Cognite Data Fusion (CDF) help industrial companies solve complex problems, improve efficiency, and make data-driven decisions at scale. Recognized as the 2024 Microsoft Energy & Resources Partner of the Year and the 2022 Technology Innovation Leader for Global Digital Industrial Platforms, we are reshaping the future of digital transformation across sectors like Oil & Gas, Manufacturing, Chemicals, Pharma, and Energy. Our Values Impact: We focus on delivering meaningful, real-world outcomes. Ownership: We take responsibility, embrace inclusivity, and step outside our comfort zones. Relentless: We pursue innovation with energy and integrity never ruthless, always responsible. Role Overview As a Solution Architect Industrial Agents, you will lead the design and development of advanced AI agent frameworks built on Cognite Data Fusion, Atlas AI, and cutting-edge generative AI technologies. You ll enable clients to deploy intelligent agents that autonomously manage and optimize complex industrial systems. This role requires deep expertise in AI, multi-agent systems, and data integration, with a focus on building repeatable, scalable, and production-ready solutions. You ll work closely with engineering, product, customer success, and global delivery teams to ensure successful implementations that create real customer value. What You'll Do Architect robust, scalable solutions that integrate Cognite platforms with AI agent frameworks. Design multi-agent systems using technologies like LangChain to solve real-world industrial problems. Lead the development of Retrieval-Augmented Generation (RAG) systems and intelligent prompt engineering. Implement and optimize vector databases (e.g., Pinecone, Weaviate, Faiss) for advanced semantic search and retrieval tasks. Guide data modeling and integration using Python, SQL, REST APIs, and Cognite s SDKs. Provide technical leadership and mentor engineers across AI and platform teams. Work with cross-functional teams to define requirements, develop prototypes, and launch production-ready solutions. Stay ahead of AI trends especially in generative AI, agent orchestration, reinforcement learning, and time series analysis. Collaborate with product and delivery teams to shape Cognite s evolving AI product suite. What You Bring 10+ years in software engineering, including 5+ years in AI and 2+ years in generative AI or intelligent systems. Proven hands-on experience with multi-agent systems (especially using LangChain or similar frameworks). Strong grasp of RAG architecture, knowledge graphs, and graph databases (e.g., Neo4j, RDF). Proficiency in Python (must-have), and optionally JavaScript or Java. Experience in vector database architecture, embedding creation, and high-performance similarity search. Deep understanding of LLMs, fine-tuning techniques, and prompt engineering. Familiarity with cloud environments (AWS, Azure), CI/CD, Docker, and Kubernetes. Strong communication and stakeholder management skills. Experience with time series forecasting models (e.g., LSTMs, ARIMA, Prophet) and real-time anomaly detection. Industrial domain experience is a plus but not required. Why Join Cognite Be part of a global team of 70+ nationalities driving the industrial AI revolution. Enjoy a flat organizational structure with direct access to leadership and decision-makers. Thrive in a modern, collaborative, hybrid work environment based in Bengaluru. Work on some of the world s most ambitious digital transformation projects. Join a culture of ownership, creativity, and continuous innovation. If you re passionate about shaping the future of industrial AI through intelligent agent systems, we want to hear from you. Cognite welcomes applicants from all backgrounds and identities.

Position: Corporate Relations Executive Experience: 2 5 years Education: MBA / B.E. / B.Tech / MCA Industry: Education, IT Job Type: Corporate Relations Job Description We are seeking a Corporate Relations Executive to manage and enhance corporate partnerships and facilitate trainee placements. The ideal candidate should have strong communication skills and experience in corporate relations or placement coordination. Key Responsibilities: Identify placement requirements and assist trainees in exchanging relevant information with potential employers. Maintain up-to-date knowledge of placement processes to ensure efficient operations. Promote the placement of graduates to prospective employers through corporate connections. Generate new corporate leads and maintain relationships with existing corporate partners. Organize and manage internal placement drives, tests, and related activities for trainees, ensuring compliance with all regulations. Update placement-related databases and prepare ad-hoc reports as required. Prepare placement reports and participate in regular meetings. Maintain a weekly MIS report for placements. Qualification : MBA / B.E. / B.Tech / MCA

Job Title: Service Sales Engineer South India Location: Bangalore, India Business Area: Robotics & Discrete Automation Reporting to: Manager - Automation Academy & Application Work Model: Hybrid (#Li_hybrid) About ABB At ABB, we are committed to addressing global challenges by combining cutting-edge technology with a strong focus on care, courage, curiosity, and collaboration. Diversity, inclusion, and equal opportunity are at the core of our values, empowering us to create sustainable solutions for a better future. Your Key Responsibilities In this role, you will play a crucial part in service sales activities, delivering key business processes and programs for ABB s Robotics & Discrete Automation division. Your primary focus will be to drive service sales growth and customer engagement. Service Sales: Promote and sell services such as spare parts, training, AMC (Annual Maintenance Contracts), and installation audits to end-users. Develop competitive offers aligned with market trends and customer needs. Installed Base Penetration: Identify opportunities within existing installed base (IB) and drive sales of upgrades, retrofits, and value-added solutions. Collaborate with relevant teams to align with channel strategy and pricing. Lead Generation: Identify and develop new market opportunities by leveraging market insights and ABB s service portfolio. Act as a brand ambassador during marketing campaigns, trade fairs, exhibitions, and customer meetings. Account Management: Develop and implement strategies to strengthen B&R brand visibility within key accounts, aiming to establish B&R as a preferred brand. Customer Satisfaction: Monitor end-user satisfaction and ensure prompt issue resolution by coordinating with OEM, Support, and Service teams. Escalate complex cases when required to ensure customer satisfaction. Market Insights: Track CAPEX investments in end-user markets and ensure relevant updates are shared with the OEM and PFA teams. Business Acumen: Maintain a strong understanding of customer business drivers, industry trends, competitive landscape, and economic factors. Collaborate across ABB business units to enhance overall ABB brand value. Qualifications & Experience Education: Bachelor s Degree in Electrical, Electronics, Instrumentation, or Mechatronics from a recognized university. Experience: 2-4 years of relevant sales experience within the Indian business environment, preferably in a multinational company. Prior work experience with B&R or competitor automation systems such as PLCs, motors, drives, motion control, and robotic systems is essential. Knowledge of mechatronics systems like Linear Transport Systems, Vision Systems, and Robots is an added advantage. Experience in serving industrial and utility sectors is preferred. Languages: Fluent in English (speaking, listening, reading, and writing). Travel Requirement: Willingness to travel up to 60% across South India. As a global leader in industrial automation, ABB s B&R division develops and delivers cutting-edge technology for machine and factory automation. Our culture of innovation and excellence ensures we consistently exceed customer expectations. At ABB, we value and celebrate diverse backgrounds and perspectives. Together, we shape a more sustainable and efficient future. Important Notice ABB never requests payment from candidates at any stage of the recruitment process. All our open positions are published on our official careers portal. Please be cautious of any recruitment fraud and avoid making payments to individuals or entities claiming to represent ABB. Qualification : Bachelors Degree in Electrical, Electronics, Instrumentation, or Mechatronics from a recognized university.

General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Additional Job Description Additional Job Description Exciting opportunity to work on Digital Flows/Methodologies architecture and development in energetic multi-site CAD team at Qualcomm. Our team support Simulation, Emulation, Formal Verification and Post Silicon domains providing ample opportunities to grow and contribute. Responsibilities Design, develop, and maintain CAD infrastructure for silicon design teams enabling bringup, test and debug automations. Collaborate with silicon designers, architects, silicon validation engineer, and other stakeholders to to improve future CPU bringups Define and implement new infrastructure capabilities that can be used to accelerate design utilizing multi-site datacenters. Prepare for CPU bring up through pre-work on emulation and FPGA platforms Work with CPU verification teams to reproduce silicon fails on emulators and FPGAs Troubleshoot and resolve issues related to CAD infrastructure, including hardware and software problems Support design engineers on the flow setup and resolve their queries Develop test contents and testing strategies to assist validation of CPU on silicon Qualifications Must have strong object-oriented programming abilities in Python. Must have knowledge and experience with silicon bringup and debugging Must have worked on Digital flows/methodologies development in the Emulation, pre-silicon and/or post-silicon. Familiarity with firmware and software debug, Silicon bring up and validation of CPU features. MS/BS in Electrical/Computer Engineering with 10+ years of demonstrated experience in CAD or EDA tools flows architecture, development, and support. Ability to document design methodologies & provide training on tools and workflows to design teams Strong skills in debugging and analyzing techniques to understand existing scripts/flows; Ability to work independently and explore new domains Proven track record of pushing Prior experience debugging vendor tool problems Strong written and verbal interpersonal skills and track record of success in a collaborative team environment

Introduction As a Hardware Developer at IBM, you ll get to work on the systems that are driving the quantum revolution and the AI era. Join an elite team of engineering professionals who enable IBM customers to make better decisions quicker on the most trusted hardware platform in today s market. Your Role and Responsibilities As a Functional verification engineer, you will be working on IBM server processors/SOC or ASICs used in IBM servers. Leading the development of the verification environment, testbenches and writing testcases. Develop skills in IBM Functional verification tools and methodologies. Work with design as well as other key stakeholders in debugging and fixing logic design issues and deliver a quality design Required Technical and Professional Expertise 9 + years of experience in Functional Verification of processors or ASICs. Minimum 6+ years of experience in any of the following Computer architecture knowledge, Processor core design specifications, instruction set architecture and logic verification. Core architecture/micro-architecture verification Multi-processor cache coherency, Memory subsystem verification. IO subsystem knowledge, any of the protocols like PCIE/CXL, DDR, Flash, Ethernet etc AXI/AHB/ACE/ACE-lite fabric verification or any other SoC fabric verification. Gate level simulation and emulation. Track record in leading team. Clock domain crossing and reset domain crossing verification Knowledge of functional verification methodology UVM/OVM/System Verilog/SystemC/ Knowledge of HDLs (Verilog, VHDL) Developed test-plans and test strategies for IP/unit/block level verification. Good object-oriented programming skills in C/C++, scripting languages like Python/Perl. Worked on multiple levels of verification (unit/element/sub-system/system level) Development experience on Linux/Unix environments, GIT repositories and good understanding of Continuous Integration and DevOps workflow Exposure in developing testbench environment, write complex test scenario, debugging and triaging fails Experience in driving verification coverage closure. Preferred Technical and Professional Expertise Stress testing and ability to identify corner case scenarios. Knowledge of high-speed SERDES and PHY Verification Good understanding of computer system architecture and microarchitecture. Knowledge in IP Integration and SoC level verification.