142 Vector Jobs - Page 4

RequirementSDET-Java Experience & BandB3 - 8 to 11 years Must Have: Candidates should possess between 8to 10 years of experience in software test automation utilizing Java/J2EE, with a strong understanding of OOP concepts, design patterns, recursive and non-recursive programming, method overloading, method overriding, ArrayList, Vector, serialization, HashSet, and more. A minimum of 3 years of automation experience is mandatory, with overall experience exceeding 5 years. Proven, deep hands-on coding skills with Selenium WebDriver, BDD, and JavaScript are essential, along with experience in framework development. Experience in API automation using RestAssured or Selenium (NOT Postman or SOAPUI) is required. Hands-on experience with CI/CD practices utilizing Maven, GitHub, Jenkins, and TestNG is crucial. Candidates should have experience in continuous test automation using Jenkins or Azure DevOps. Experience in enabling in-sprint automation is also necessary. Familiarity with Automation Life Cycle activities, such as feasibility studies, estimations, proof of concepts, and possessing strong communication skills, is important. Nice to Have: Knowledge of AWS, Kubernetes, Ansible/Chef, Docker, MongoDB, JavaScript, Spring Boot, Nexus/JFrog, etc., is a plus. Familiarity with code quality tools such as Sonar, Jacoco, and SeaLights is advantageous. Exposure to AI/ML concepts and insights on their applicability to testing is beneficial. Experience with non-functional testing, including performance testing (using JMeter), accessibility testing (using JAWS), and visual testing (using Applitools), is desirable. Familiarity with Site Reliability Engineering (SRE) practices is also a plus. Work LocationPune, Bangalore, Chennai, Hyderabad. Mandatory Skills: SDET. Experience5-8 Years.

Role Purpose Mandatory Skills: Gen AI, LLM, RAG, Lang chain, Mistral,Llama, Vector DB, Azure/GCP/ Lambda, Python, Tensorflow, Pytorch Preferred Skills GPT-4, NumPy, Pandas, Keras, Databricks, Pinecone/Chroma/Weaviate, Scale/Labelbox, We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework. Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various GenAI base models Design and develop prompts suiting project needs Stakeholder management across business and domains as required for the projects Evaluating base models and benchmarking performance Implement prompt guardrails to prevent attacks like prompt injection, jail braking and prompt leaking Develop, deploy and maintain auto prompt solutions Design and implement minimum design standards for every use case involving prompt engineering You will be responsible for training the machine learning and deep learning model. Writing reusable, testable, and efficient code using Python Design and implementation of low-latency, high-availability, and performant applications Implementation of security and data protection Integration of data storage solutions and API Gateways Production change deployment and related support Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About The Role Senior AI Engineer At Codvo, software and people transformations go hand-in-hand We are a global empathy-led technology services company where product innovation and mature software engineering are embedded in our core DNA Our core values of Respect, Fairness, Growth, Agility, and Inclusiveness guide everything we do We continually expand our expertise in digital strategy, design, architecture, and product management to offer measurable results and outside-the-box thinking About the Role: We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and implementation of robust and scalable pipelines and backend systems for our Generative AI applications In this role, you will be responsible for orchestrating the flow of data, integrating AI services, developing RAG pipelines, working with LLMs, and ensuring the smooth operation of the backend infrastructure that powers our Generative AI solutions Responsibilities: Generative AI Pipeline Development: Design and implement efficient and scalable pipelines for data ingestion, processing, and transformation, tailored for Generative AI workloads Orchestrate the flow of data between various AI services, databases, and backend systems within the Generative AI context Build and maintain CI/CD pipelines for deploying and updating Generative AI services and pipelines Data and Document Ingestion: Develop and manage systems for ingesting diverse data sources (text, images, code, etc.) used in Generative AI applications Implement OCR and other preprocessing techniques to prepare data for use in Generative AI pipelines Ensure data quality, consistency, and security throughout the ingestion process AI Service Integration: Integrate and manage external AI services (e.g., cloud-based APIs for image generation, text generation, LLMs) into our Generative AI applications Develop and maintain APIs for seamless communication between AI services and backend systems Monitor and optimize the performance of integrated AI services within the Generative AI pipeline Retrieval Augmented Generation (RAG) Pipelines: Design and implement RAG pipelines to enhance Generative AI capabilities with external knowledge sources Develop and optimize data retrieval and indexing strategies for RAG systems used in conjunction with Generative AI Evaluate and improve the accuracy and relevance of RAG-generated responses in the context of Generative AI applications Large Language Model (LLM) Integration: Develop and manage interactions with LLMs through APIs and SDKs within Generative AI pipelines Implement prompt engineering strategies to optimize LLM performance for specific Generative AI tasks Analyze and debug LLM outputs to ensure quality and consistency in Generative AI applications Backend Services Ownership: Design, develop, and maintain backend services that support Generative AI applications Ensure the scalability, reliability, and security of backend infrastructure for Generative AI workloads Implement monitoring and logging systems for backend services and pipelines supporting Generative AI Troubleshoot and resolve backend-related issues impacting Generative AI applications Required Skills and Qualifications: EducationBachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field Experience: 5+ years of experience in AI/ML development with a focus on building and deploying AI pipelines and backend systems Proven experience in designing and implementing data ingestion and processing pipelines Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services Technical Skills: Expertise in Python and relevant AI/ML libraries Strong understanding of AI infrastructure and deployment strategies Experience with data engineering and data processing techniques Proficiency in software development principles and best practices Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) Experience with version control (Git) Experience with RESTful APIs and API development Experience with vector databases and their application in AI/ML, particularly for similarity search and retrieval Generative AI Specific Skills: Familiarity with Generative AI concepts and techniques (e.g., GANs, Diffusion Models, VAEs, LLMs) Experience with integrating and managing Generative AI services Understanding of RAG pipelines and their application in Generative AI Experience with prompt engineering for LLMs in Generative AI contexts Soft Skills: Strong problem-solving and analytical skills Excellent communication and collaboration skills Ability to work in a fast-paced environment Preferred Qualifications: Experience with OCR and document processing technologies Experience with MLOps practices for Generative AI Contributions to open-source AI projects Strong experience with vector databases and their optimization for Generative AI applications Experience 5+ years Shift Time 2:30PM to 11:30PM Show more Show less

Job Summary At Red Hat, we connect an innovative community of customers, partners, and contributors to deliver an open-source stack of trusted, high-performing solutions. We offer cloud, Linux, middleware, virtualization, and AI technologies, together with award-winning global customer support, consulting, and implementation services. Red Hat is a rapidly growing company supporting more than 90% of Fortune 500 companies. The AI Core Components organization, part of AI Engineering, is looking for individuals with a passion for Open Source, automation and helping grow the impact of Red Hats AI offerings for our customers and the community. As a Staff Engineer youd be a person with deep expertise in Machine Learning systems and tools, relentless curiosity, and a bias for action. This role is ideal for someone who thrives at the intersection of AI innovation and engineering excellence and is passionate about boosting engineering productivity through the intelligent use of the latest AI advancements. What you will do Prototype with PurposeRapidly build PoCs using the latest AI models and frameworks to enhance developer workflows across the PyTorch engineering lifecycle (code, test, document, debug, optimize). Bridge Industry & ImplementationEvaluate innovations from open source, academia, and industry and assess how they can improve the way PyTorch is built and maintained. Drive Developer ProductivityCreate intelligent tools that support faster iteration, better testing, and smoother onboarding for PyTorch engineersturning AI into leverage. Embed in the TeamWork alongside core PyTorch engineers to understand friction points and infuse AI-powered solutions into existing workflows and CI pipelines. Lead by InfluenceSet technical direction in the space of AI-enhanced engineering productivity. Act as a multiplier for the teammentoring, demoing, writing internal blogs, and making innovation accessible. Contribute to the PyTorch EcosystemYour work will extend to open-source tooling or enhancements that benefit the broader PyTorch community. What you will bring 8+ years of experience in machine learning, software engineering, or systems design, with significant exposure to AI/ML infrastructure. Deep understanding of LLMs, AI agents, vector search, prompt engineering, and developer productivity tools. Strong Python programming skills and experience with PyTorch, Hugging Face Transformers, LangChain, vLLM, or OpenAI/Anthropic APIs. Demonstrated ability to build fast, impactful prototypes that lead to production-ready tools. Experience improving engineering workflows through AI toolscode generation, automated test generation, bug triage, documentation assistants, etc. Familiarity with modern software engineering practicesCI/CD, DevOps, VS Code extensions, or internal tooling development. Collaborative mindset and excellent communication skillscomfortable working with developers, QE, product managers, and leadership. Nice to have Contributions to PyTorch or other open-source ML/AI frameworks. Experience building developer tools or productivity platforms within ML orgs. Familiarity with AI use cases in systems optimization, model compilation, or hardware acceleration. Exposure to long-context transformer models and techniques like EasyContext, NoLiMa, or KV-cache paging. About Red Hat Red Hat is the worlds leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hats culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com . General inquiries, such as those regarding the status of a job application, will not receive a reply.

AI/Machine Learning Engineer Skillsoft is the global leader in eLearning. Trusted by the world's leading organizations, including 65% of the Fortune 500. Our 100,000+ courses, videos and books are accessed over 100 million times every month, across more than 100 countries. At Skillsoft, we believe knowledge is the fuel for innovation and innovation is the fuel for business growth. Join us in our quest to democratize learning and help individuals unleash their edge. This role is for a junior to mid-level engineer. The successful candidate will work closely with more senior engineers who will mentor and guide them. You’ll dive into the heart of innovation, crafting intelligent systems that empower millions worldwide. From designing generative AI solutions to pioneering agentic workflows, you’ll collaborate with internal and external teams to transform knowledge into a catalyst for growth—unleashing your edge while helping others do the same. Responsibilities: Hands-on AI/ML software engineer Work with product owners and curators to understand requirements and guide new features Collaborate to identify new feature impacts on existing services and teams Research, prototype, and select appropriate COTS and in-house AI/ML technology and design Collaborate with team to design, develop, and maintain supporting systems Document designs and implementation to ensure consistency and alignment with standards Create documentation including system and sequence diagrams Create appropriate data pipelines for AI/ML Analyze, curate, cleanse, and split data Utilize and apply generative AI for products and for daily productivity Periodically explore new technologies and design patterns with proof-of-concept Participate in developing best practices and improving operational processes Present research and work to socialize and share knowledge across the organization Environment, Tools & Technologies: Agile/Scrum Operating Systems – Mac, Linux Python, JavaScript, Node.js PyTorch, Tensorflow, Keras, LLMs (OpenAI GPT-X, Claude, embedding models) Vector indexing/database, LangChain, AutoGen, RAG, Agents APIs GraphQL, REST Docker, Kubernetes Amazon Web Services (AWS), MS Azure OpenAI SQL (Postgres RDS/Aurora), NoSQL (Cassandra, Elasticsearch) Messaging – Kafka, RabbitMQ, SQS Monitoring – New Relic, Splunk GitHub, IDE (your choice) Skills & Qualifications: 2 years of relevant work experience and experience with generative AI and fine-tuning models Ability to design and document APIs, data models, service interactions Familiarity with and ability to explain: o testing strategies – unit, integration, system o system and API security techniques o data privacy concerns o microservices architecture o vertical vs horizontal scaling o Generative AI, NLP, DNN, LLMs, auto-encoders, etc. Attributes for Success: Proactive, Independent, Adaptable Collaborative team player Customer service minded with an ownership mindset Excellent analytic and communication skills Ability and desire to coach and mentor new and more junior developers Innovative and problem-solving mindset Passionate, curious, open to new ideas, and ability to research and learn new technologies

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure OpenAI Service Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : BEBTECHMTECH Summary :As an Application Lead, you will be responsible for leading the effort to design, build, and configure applications using Microsoft Azure OpenAI Service. Your typical day will involve collaborating with cross-functional teams, managing project timelines, and ensuring the successful delivery of high-quality applications. Roles & Responsibilities:A.Lead the design, development, and deployment of applications using Microsoft Azure OpenAI Service, Azure AI Search-Cognitive Search, Azure Language Services-CLU, Microsoft Bot Framework,Microsoft Power Virtual Agents-Microsoft Copilot Studio and Azure PaaS.B.Act as the primary point of contact for the project, collaborating with cross-functional teams to ensure project timelines are met.C.Ensure the successful delivery of high-quality applications, adhering to best practices and industry standards.D.Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and growth.E.Stay updated with the latest advancements in Azure components, Microsoft Azure OpenAI Service, Azure AI Search-Cognitive Search and Azure Language Services-CLU integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: A.Must Have Skills: Strong architectural experience with Microsoft Azure OpenAI Service, Azure AI Search-Cognitive Search, Azure Language Services-CLU and Azure PaaS.B.Must Have Skills: At least 1+ year hands on experience in Azure based LLMs with knowledge in embeddings, vectorization and semantic, vector based indexing and search.C.Must to Have Skills: Experience with conversational AI with Microsoft Bot Framework or Power Virtual Agents,Microsoft Copilot Studio. Should know how multiple components integrate with each other in an enterprise application.D.Must Have Skills: Strong understanding of software development best practices including Agile methodologies and industry standards with special focus on API, function app and logic app building. Experience with Python or C hash programming language, using Visual Studio Code IDE and Azure AI Studio.E.Good To Have Skills: Knowledge of other vector databases, Knowledge Graphs, LangChain, Semantic Kernel.F.Good To Have Skills: Experience with deployment of applications and containerization technologies such as Docker or Kubernetes.G.Good To Have Skills: Experience with all Azure AI services like Video Indexer, Computer Vision, Custom Vision, Document Intelligence, Custom QnA, Speech Services and Prompt Engineering.H.Experience with database technologies such as SQL Server, Cosmos DB and Oracle.I.Solid grasp of software testing and quality assurance principles.J.Knowledge of DevOps practices. Additional Information:- The candidate should have a minimum of 12 years of experience in software development.- The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions.- This position is based at our Bengaluru office. Qualification BEBTECHMTECH

About Company Agilysys is well known for its long heritage of hospitality-focused technology innovation. The Company delivers modular and integrated software solutions and expertise to businesses seeking to maximize Return on Experience (ROE) through hospitality encounters that are both personal and profitable. Over time, customers achieve High Return Hospitality by consistently delighting guests, retaining staff and growing margins. Customers around the world include branded and independent hotels; multi-amenity resort properties; casinos; property, hotel and resort management companies; cruise lines; corporate dining providers; higher education campus dining providers; food service management companies; hospitals; lifestyle communities; senior living facilities; stadiums; and theme parks. The Agilysys Hospitality Cloud™ combines core operational systems for property management (PMS), point-of-sale (POS) and Inventory and Procurement (I&P) with Experience Enhancers™ that meaningfully improve interactions for guests and for employees across dimensions such as digital access, mobile convenience, self-service control, personal choice, payment options, service coverage and real-time insights to improve decisions. Core solutions and Experience Enhancers are selectively combined in Hospitality Solution Studios™ tailored to specific hospitality settings and business needs. Agilysys operates across the Americas, Europe, the Middle East, Africa, Asia-Pacific, and India with headquarters located in Alpharetta, GA. For more information visit Agilysys.com. Mode: Work from Office (No Hybrid) Responsibilities Must be able to document user manuals, release notes, installation documents, compliance documents, and so on from scratch and contribute to existing documents as well. Must be an avid learner of new technologies. Must be able to work extensively on internal engineering documents that will be used by developers and implementation specialists. Must have experience in documenting web-based technology like Dockers and API and Payment Gateways. Must be an individual contributor (take ownership and work with limited direction) and also coexist within a team of writers. Must be able to switch between multiple products (Cloud-based, iSeries-based, and OnPrem applications). Must have experience in standard technical writing tools; experience in ScreenSteps and AppCues is a value-add. Requirements Graduate in any discipline. Must possess at least 2 of the following skill sets Demo Environment Preparation. Design (Photoshop/Illustrator; Preferably Vector). HTML5/CSS. eLearning Content and training. Other Desired Experience Exposure to Hospitality Industry is greatest plus.

Position : Senior LeadEngineer SOC Incident Responder Grade :E1 Location :Chennai JobDescription: Support cyber incident response actions to ensureproper assessment, containment, mitigation and documentation Perform in-depth analysis and investigative effortswhen events are escalated and determine next appropriatecontainment / remediation / eradication efforts. Research and Evaluate new technologies like Anti APTsolutions, SOAR, ,Deception technologies, Big Data forensic analytic tools, andassist in implementation of the same. Assist with defining and updating incident responseplaybooks to ensure tasks align with best practice Identify and propose areas for improvement within theSecurity Operations Centre. Responsible for driving execution of daily, weekly,and monthly metrics for statistical threats and KPIs. Coordinate with global stakeholder along with theSenior management during contingency scenarios/ high severity incidents toensure responsive actions are communicated in timely manner. ProfileDescription: Should have 7-11 years of specific InformationSecurity experience. Should have subject matter expertise in relevantareas, such as Incident Response, Forensic analysis, Malware analysis,Intrusion analysis and Crisis Management. Strong working knowledge on security tools, such asSIEM,AV,Vulnerability scanners,Proxies,WAF,Net flow,IDS and Forensic Tools. In-depth knowledge of malware families and networkattack vectors Demonstrated experience in an enterprise-levelincident response team or security operations centre. Log (network, security, access, OS, application, etc.) analysis skills and experience in relation to identifying and investigatingsecurity incidents. Strong knowledge of Operating System Internals (Linux,Windows. Etc) Should be familiar with security engineeringpractises, web/Application security, Cloud Security. Should have Scripting knowledge () Have sound analytical and problem solving skills Preferable be a GIAC,CISSP, CEH certified Professional Experience in product suites like Mcafee, Fireye,Crowd Strike, Cylance etc.

Cybersecurity Incident Manager is responsible for managing and mitigating enterprise-level cybersecurity incidents leading the coordination and communication of incident response efforts. The main priorities are ensuring timely detection, containment, eradication, and recovery from cyber threats while minimizing operational disruptions. Key Responsibilities Monitor, detect, and respond to security incidents using various security tools and technologies. Execute containment, eradication, and recovery procedures during incidents to minimize impact and restore normal operations. Develop and maintain incident response playbooks and escalation procedures to ensure a consistent and efficient response to incidents. Collaborate with other IT and security teams to remediate vulnerabilities and improve the overall security posture. Prepare detailed and accurate incident reports and documentation for internal use and for external stakeholders, if necessary. Stay current with the latest threats, vulnerabilities, and security technologies to ensure effective detection and response capabilities. Serve as the primary coordinator during cybersecurity incidents, aligning efforts across technical and business teams. Conduct real-time analysis and correlation of security events from multiple sources including SIEM, IDS/IPS, firewalls, and endpoint security solutions. Perform in-depth investigation and analysis of security incidents, including malware analysis, forensic investigations, and reverse engineering. Participate in threat hunting activities to proactively identify and mitigate potential security risks. Stay informed about new threats and trends in cybersecurity to enhance response skills. Ensure compliance with the organization's incident response framework and regulatory requirements. Coordinate with Enterprise Risk Management, SOC, Legal, IT, Data Privacy, and other functions for a unified response. Collaborate with third-party vendors and MSSPs as needed. Act as the primary contact for incident updates to executive leadership and stakeholders. Generate comprehensive reports during and after incidents, including root cause analysis and mitigation strategies. Supervise the creation of post-incident reports and ensure that lessons learned are integrated into future planning strategies. Propose security improvements to prevent the reoccurrence of incidents. Perform regular tabletop exercises and simulations to train and prepare teams. Qualifications Bachelors degree in Computer Science, Information Security, or a related field, or equivalent work experience. At least 12+8 years of experience in a SOC or similar security-focused environment. Experience in managing large-scale cybersecurity incidents. Understanding of regulatory requirements and industry standards (e.g. GDPR, HIPAA, PCI-DSS). Proficient written and verbal communication skills. Strong hands-on experience with SIEM platforms (e.g. Palo Alto XSIAM, Splunk, QRadar), IDS/IPS systems, firewalls, endpoint security tools and service management tools (e.g. ServiceNow) Proficiency in conducting forensic investigations and malware analysis. Experience with scripting and automation tools (e.g., Python, PowerShell) to streamline incident response tasks. Deep understanding of network protocols, operating systems, and common attack vectors. Relevant certifications such as CISSP, CISA, CISM, CEH, or GIAC are highly desirable. Excellent problem-solving skills and the ability to work under pressure in a fast-paced environment. Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Role & responsibilities Role Overview We are looking for a skilled and proactive Full Stack Engineer to join our AI Engineering team. You will play a pivotal role in designing, developing, and scaling AI-driven web applications and platforms. This role is ideal for engineers who are passionate about blending full stack development skills with the emerging world of AI and machine learning, and who thrive in cross-functional, fast-paced environments. Key Responsibilities Develop and maintain scalable web applications and APIs using Python (FastAPI, Flask, Django) and modern frontend frameworks ( React.js, Angular.js ). Build intuitive, responsive UIs using JavaScript/TypeScript , CSS3 , Bootstrap , and Material UI for AI-powered products. Collaborate closely with product teams to deliver GenAI/RAG-based solutions . Design backend services for: Data pipelines ( Azure Data Factory , Data Lake , Delta Lake ) Model inference Embedding and metadata storage (SQL, NoSQL, Vector DBs ) Optimize application performance for AI inference and data-intensive workloads . Integrate third-party APIs, model-hosting platforms ( OpenAI , Azure ML , AWS SageMaker ), and vector databases . Implement robust CI/CD pipelines using Azure DevOps , GitHub Actions , or Jenkins . Participate in architectural reviews and contribute to design best practices across the engineering organization. Required Skills & Experience 46 years of professional full-stack engineering experience. Bachelor's degree in Computer Science, Engineering, or related technical field (BE/BTech/MCA) Strong Python development skills, particularly with FastAPI , Flask , or Django . Experience with data processing using Pandas . Proficient in JavaScript/TypeScript with at least one modern frontend framework ( React , Angular ). Solid understanding of RESTful and GraphQL API design. Experience with at least one cloud platform: Azure : Functions, App Service, AI Search, Service Bus, AI Foundry AWS : Lambda, S3, SageMaker, EC2 Hands-on experience building GenAI applications using RAG and agent frameworks . Database proficiency with: Relational databases: PostgreSQL, SQL Server NoSQL databases: MongoDB, DynamoDB Vector stores for embedding retrieval Familiarity with LLM orchestration tools : LangChain, AutoGen, LangGraph, Crew AI, A2A, MCP Understanding of Responsible AI practices and working knowledge of LLM providers (OpenAI, Anthropic, Google PaLM, AWS Bedrock) Good to Have Skills DevOps & Infrastructure : Terraform, Kubernetes, Docker, Jenkins MLOps capabilities : model versioning, inference monitoring, automated retraining Security experience with OpenID Connect , OAuth2 , JWT Deep experience with data platforms: Databricks , Microsoft Fabric Prior experience in AI/ML R&D or working within cross-functional product teams Soft Skills & Team Expectations Effective communication and documentation skills; ability to clearly articulate technical concepts to both technical and non-technical audiences. Demonstrated ability to work independently as well as collaboratively in a fast-paced environment. A builder's mindset with a powerful desire to innovate, automate, and scale . Comfortable in an agile, iterative development environment. Willingness to mentor junior engineers and contribute to team knowledge growth. Proactive in identifying tech stack improvements, security enhancements, and performance bottlenecks. Preferred Certifications (at least two are preferred) Cloud Certifications (Azure, AWS, GCP) – e.g., Azure DevOps Engineer , AWS Certified ML Specialist , GCP Professional ML Engineer Docker/Kubernetes/Cloud Native certifications (CKAD, CKA, etc.) Why Join PwC CTIO? Work at the cutting edge of AI engineering , deploying real solutions at production scale. Collaborate with visionary AI researchers , engineers, and product leaders to redefine what is possible. Be part of a team that values both rapid experimentation and engineering excellence . Gain exposure to LLMOps and GenAI infrastructure at an enterprise scale. Join a culture that encourages continuous learning, bold thinking , and inclusive innovation . Shift:11am-8pm

Introduction: A Career at HARMAN Automotive Were a global, multi-disciplinary team thats putting the innovative power of technology to work and transforming tomorrow At HARMAN Automotive, we give you the keys to fast-track your career, Engineer audio systems and integrated technology platforms that augment the driving experience Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence Advance in-vehicle infotainment, safety, efficiency, and enjoyment About The Role We're seeking an experienced Classic AUTOSAR Developer to join our team, with expertise in developing software components for automotive systems using Classic AUTOSAR, What You Will Do Classic AUTOSAR Development: Develop software components for automotive systems using Classic AUTOSAR, Design and Implementation: Design and implement software components, including BSW, RTE, and application layer, Configuration and Integration: Configure and integrate AUTOSAR components, including ECUs and networks, Testing and Validation: Test and validate software components to ensure compliance with Classic AUTOSAR standards, What You Need To Be Successful Experience: 3-6 years of experience in Classic AUTOSAR development, Technical Skills: Strong understanding of Classic AUTOSAR architecture and concepts, Experience with C programming language, Familiarity with automotive industry standards, such as ISO 26262, Soft Skills: Excellent problem-solving skills and attention to detail, Strong communication and collaboration skills, Bonus Points if You Have Experience with AUTOSAR Tools: Experience with AUTOSAR tools, such as DaVinci Configurator or Vector MICROSAR, Experience with Automotive Industry: Experience working in the automotive industry, with knowledge of automotive systems and components, Experience with ECU Development: Experience with ECU development, including software and hardware design, What Makes You Eligible Classic AUTOSAR Development: Develop software components for automotive systems using Classic AUTOSAR, Design and Implementation: Design and implement software components, including BSW, RTE, and application layer, Configuration and Integration: Configure and integrate AUTOSAR components, including ECUs and networks, What We Offer Competitive salary and benefits package Opportunities for professional growth and development Collaborative and dynamic work environment Access to cutting-edge technologies and tools Recognition and rewards for outstanding performance through BeBrilliant Chance to work with a renowned German OEM You are expected to work all 5 days in a week You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you all within a support-minded culture that celebrates what makes each of us unique We also recognize that learning is a lifelong pursuit and want you to flourish We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want, About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, weve been amplifying the sense of sound Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected, Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature todays most sought-after performers, while our digital transformation solutions serve humanity by addressing the worlds ever-evolving needs and demands Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other, If youre ready to innovate and do work that makes a lasting impact, join our talent community today!

Roles Responsibility: Responsible for development implementation of digital cockpit/Infotainment systems with focus on AUTOSAR Lead the implementation of AUTOSAR stacks using Vector, EBtresos AUTOSAR tools for Digital cockpit applications, ensuring adherence to industry standards and best practices Serve as a technical expert for digital cockpit/Infotainment system to the engineering team *Demonstrate expertise in connectivity features development, audio/video engineering, DSP to drive infotainment/digital cockpit development Lead cross functional team to deliver quality solutions Handle technical issues, providing expertise and solutions to ensure smooth project execution and product development Responsible for interacting with other teams like hardware, quality for successful execution of project. Establish and enforce best practices in software development process for digital cockpit/infotainment systems Technical Skills In depth knowledge of Autosar stack such as COM,MEM, DiagStack, etc and their integration for infotainment/cockpit systems Strong domain experience on infotainment/cockpit systems Familiarity with platforms from Qualcomm, NXP, etc for infotainment/cockpit systems Expertise in Android Auto/Carplay integration, connectivity features development, audio/video engineering, DSP for optimizing infotainment system performance and functionality Hands on experience with hypervisor technology - QNX, GHS, etc for virtualization Familiarity with standards such as functional safety - ISO26262, ASPICE, Cybersecurity - ISO21434 Proficient in using C/C++ language on embedded platforms and debugging skills. Proficient of Board support package, Device driver and boot loader development/porting. Understanding of hardware schematic, datasheet of hardware component to derive firmware/software specific solution Strong sense of ownership, passionate, fast learner, detail-oriented, analytical mind set, perfection Excellent interpersonal, communication, collaboration and presentation skills.

Designation: Graphic Design Associate Office Location: BKC, Mumbai Years of experience: 2 to 3 Salary Range: INR to (Annual) Position description: This role will be responsible for designing the communication/content pieces according to the business requirements for different platforms like social media, in-app & push notifications, website banners, brochures, and other offline marketing collateral. Responsibilities: Study design briefs to determine requirements and create effective designs for campaigns (offline & online) and visual communication Possess an excellent understanding of graphic design principles, design language, design processes, and creative workflow. Conceptualize and execute visuals based on requirements – graphics, GIFs, corporate presentations—Brownie points for Video skills. Understand the 91S design language and apply with an unbiased approach to designs Be sure to produce designs with the 91S design language consistently for all mediums Work with the Design Lead and Content Writer to produce final designs within deadlines. Ability to take feedback from peers and seniors with a positive attitude. Adept at creating illustrations/drawing Possess a strong ability to work with the team and under minimal supervision when required. Ability to understand and produce internal communications design Works on quick turnaround times & is willing to be available over weekends when required Understanding the concept of prioritization and to be able to manage time effectively : A strong portfolio of layout, illustrations and graphic designs Self-taught designers are also welcome WordPress familiarity is a big plus Curiosity to learn new skills is a must Has in-depth knowledge of Adobe Illustrator and Photoshop Ability to make vector illustrations/graphics Experience in Motion design is a plus Experience working with remote teams A positive and friendly attitude Should have familiarity with social media formats and trends Demonstrates a passion for digital design High Proficiency in English Exhibits stylistic breadth, attention to detail, and balances beauty, innovation, and usability Ability to translate concepts and ideas into visuals Performs well in a fast-paced, highly-dynamic environment with multiple stakeholders Experience2-3 years of experience in Digital Marketing Design TeamMarketing Reports toDesign Lead - Marketing Primary Responsibilities: This role will be responsible for designing the communication/content pieces as per the business requirements for different platforms like social media, in-app & push notifications, website banners, b Additional Responsibilities: Reporting Team Reporting Designation: Reporting Department: Educational qualifications preferred Category: Field specialization: Degree: Academic score: Institution tier: Required Certification/s: Required Training/s: Required work experience Industry: Role: Years of experience: Key Performance Indicators: Required Competencies: Required Knowledge: Required Skills: Required abilities Physical: Other: Work Environment Details: Specific requirements Travel: Vehicle: Work Permit: Other details Pay Rate: Contract Types: Time Constraints: Compliance Related: Union Affiliation:

What Youll Do We are seeking a Solutions Engineer - Artificial Intelligence (AI) Practitioner to join our dynamic sales team. As an SE (AI Practitioner), you will consult and drive the adoption of our AI solutions across various industries. You will identify potential clients, understand their specific needs, and provide tailored AI solutions that enhance their business operations. This role requires a deep understanding of AI technologies, real world deployment experience and expert capability to relay business and technical concepts to a diverse audience. Who Youll Work With The Cloud and AI Infrastructure team is responsible for helping customers change their business using Cisco technology in the data center and on cloud. The team works with customers, partners and engineering teams to take customer problems and turn them into business advantage. Who You Are Youre energized by the fast-paced landscape in IT and how AI is changing the world. You love technology and thrive in solving complex problems. You are an amazing presenter and can translate complex technical scenarios into a simple easy to understand message. You inspire those around to use technology in innovative ways and use a hands-on methods to demonstrate your ideas. Minimum Qualifications : 10+ years of technology consulting experience (preferably in systems, software, data, analytics and AI). Good understanding of programming/scripting languages Ability to provide detailed and consumable documentation and standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise, and AI/ML solutions. Be able to develop and showcase real world examples of how AI technology can help businesses thrive and solve problems. Excellent presentation skills ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics. Preferred Qualifications : Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree in Data Science is a plus. Experience with AI relevant infrastructure, including Networking (InfiniBand and RoCE), Storage (FC, IP and scale out) and AI accelerators (GPUs etc). In-depth understanding of AI models, including but not limited to GPT, Llama, Resnet or similar. Experienced with data storage and management (SQL, NOSQL, Vector, BigQuery etc) and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Jupyter, NIMS and NVAIE etc). Expertise in training and fine-tuning AI models on premise or in cloud environments. Familiarity with containerization (k8 etc).

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: Strong knowledge of digital design and SOC architecture. Good understanding of OOP concepts Experience in HVL such as System Verilog, UVM/OVM & System C Experience in HDL such as Verilog Knowledge of ARM/DSP CPU architecture, High Speed Peripherals like USB2/3, PCIE or Audio/Multimedia Familiarity with Power-aware Verification, GLS, Test vector generation is a plus Exposure to Version managers like Clearcase/perforce Scripting language like Perl, Tcl or Python Analytical and Debugging skil Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Exp -3-6 yrs with Bachelors or Masters in Engineering

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: Qualcomm Chennai is looking for a VLSI engineers who is passionate in to work with cross-functional engineering teams . In this position, the engineer will be involved in all stages of the design and development cycles Strong knowledge of digital design and SOC architecture. Good understanding of OOP concepts Experience in HVL such as System Verilog, UVM/OVM & System C Experience in HDL such as Verilog Knowledge of ARM/DSP CPU architecture, High Speed Peripherals like USB2/3, PCIE or Audio/Multimedia Familiarity with Power-aware Verification, GLS, Test vector generation is a plus Exposure to Version managers like Clearcase/perforce Scripting language like Perl, Tcl or Python Analytical and Debugging skills 2-4 yrs experience Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Bachelors / Masters degree in electrical or electronics engineering with 2 - 4 yrs of experience is preferred

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: The ideal candidate should leverage his knowledge and experience to provide leadership, technical guidance, and execution of silicon validation of ARM or DSP based multiple SOC projects and platforms Strong knowledge of digital design and SOC architecture. Good understanding of OOP concepts Experience in HVL such as System Verilog, UVM/OVM & System C Experience in HDL such as Verilog Knowledge of ARM/DSP CPU architecture, High Speed Peripherals like USB2/3, PCIE or Audio/Multimedia Familiarity with Power-aware Verification, GLS, Test vector generation is a plus Exposure to Version managers like Clearcase/perforce Scripting language like Perl, Tcl or Python Analytical and Debugging skills Experience in Hifi Processor, Soundwire interface, ANC, DMA, I2S verification experience is a Plus. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. 12-15 years of experience with a Bachelor's/ Masters degree in Electrical/ Electronics engineering

Job Area: Engineering Group, Engineering Group > Hardware Engineering 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 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Minimum of 3+ years experience in the area of DFT-, ATPG, Scan Insertion, MBIST, JTAG -In depth knowledge of DFT concepts. -In depth knowledge and hands on experience in DFT(scan/mbist) insertion, ATPG pattern generation/verification, mbist verification and post silicon bring up/yield analysis -Expertise in test mode timing constraints definition, knowledge in providing timing fixes/corrective actions for timing violations. -Ability to analyze and devise new tests for new technologies/custom RAM design/RMA etc. -Expertise in scripting languages such as perl, shell, etc. -Experience in simulating test vectors. -Knowledge of equivalence check and RTL lint tool (like spyglass). -Ability to work in an international team, dynamic environment -Ability to learn and adapt to new tools and methodologies. -Ability to do multi-tasking & work on several high priority designs in parallel. -Excellent problem-solving skills

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: Bachelors /Masters degree in Engineering Relevant experience of 6+yrs in any of the mentioned domain - Verification/ Emulation/ Validation Verification: Strong knowledge of digital design and SOC architecture. Good understanding of OOP concepts Experience in HVL such as System Verilog, UVM/OVM & System C Experience in HDL such as Verilog Knowledge of ARM/DSP CPU architecture, High Speed Peripherals like USB2/3, PCIE or Audio/Multimedia Familiarity with Power-aware Verification, GLS, Test vector generation is a plus Exposure to Version managers like Clearcase/perforce FPGA Emulation : Familiarity with Verilog/Vhdl and General Digital Logic Design concepts Knowledge of system-level architecture including buses like ARM processor bringup, AXI/AHB, bridges, memory controllers such as DDR/Nand. Knowledge of peripheral emulation like PCIE/USB is a plus. Strong working knowledge of UNIX environment and scripting languages such as Perl or shell Working knowledge XILINX Virtex FPGA architecture and experience with ISE tool flow Pre/Post silicon Validation: ARM based System-On-Chip Pre-Silicon emulation and Post-Silicon ASIC Validation experience related to board bring up and debug. Perform system level validation and debug Debug experience with Lauterbach Trace32 environment. Test equipment like Logic analyzer, Oscilloscope and Protocol analyzers. Embedded software development of low level hardware drivers in C language. Working experience related to one or more of the following is required. ARM/DSP Processors/USB/PCIE, Ethernet Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Hardware Engineering 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 3+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. Minimum of 5+ years experience in the area of DFT-, ATPG, Scan Insertion, MBIST, JTAG -In depth knowledge of DFT concepts. -In depth knowledge and hands on experience in DFT(scan/mbist) insertion, ATPG pattern generation/verification, mbist verification and post silicon bring up/yield analysis -Expertise in test mode timing constraints definition, knowledge in providing timing fixes/corrective actions for timing violations. -Ability to analyze and devise new tests for new technologies/custom RAM design/RMA etc. -Expertise in scripting languages such as perl, shell, etc. -Experience in simulating test vectors. -Knowledge of equivalence check and RTL lint tool (like spyglass). -Ability to work in an international team, dynamic environment -Ability to learn and adapt to new tools and methodologies. -Ability to do multi-tasking & work on several high priority designs in parallel. -Excellent problem-solving skills

Job Area: Engineering Group, Engineering Group > Hardware Engineering 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 3+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. Minimum of 5+ years experience in the area of DFT-, ATPG, Scan Insertion, MBIST, JTAG -In depth knowledge of DFT concepts. -In depth knowledge and hands on experience in DFT(scan/mbist) insertion, ATPG pattern generation/verification, mbist verification and post silicon bring up/yield analysis -Expertise in test mode timing constraints definition, knowledge in providing timing fixes/corrective actions for timing violations. -Ability to analyze and devise new tests for new technologies/custom RAM design/RMA etc. -Expertise in scripting languages such as perl, shell, etc. -Experience in simulating test vectors. -Knowledge of equivalence check and RTL lint tool (like spyglass). -Ability to work in an international team, dynamic environment -Ability to learn and adapt to new tools and methodologies. -Ability to do multi-tasking & work on several high priority designs in parallel. -Excellent problem-solving skills

Job Area: Engineering Group, Engineering Group > Systems Test Engineering General Summary: We are seeking a Senior Staff AI System-Level Test Engineer to lead end-to-end testing of Retrieval-Augmented Generation (RAG) AI systems for Hybrid, Edge-AI Inference solutions. This role will focus on designing, developing, and executing comprehensive test strategies for evaluating the reliability, accuracy, usability and scalability of large-scale AI models integrated with external knowledge retrieval systems. The ideal candidate needs to have deep expertise in AI testing methodologies, experience with large language models (LLMs), expertise in building test solutions for AI Inference stacks, RAG, search/retrieval architecture, and a strong background in automation frameworks, performance validation, and building E2E automation architecture. Experience testing large-scale generative AI applications, familiarity with LangChain, LlamaIndex, or other RAG-specific frameworks, and knowledge of adversarial testing techniques for AI robustness are preferred qualifications Key Responsibilities: Test Strategy & Planning Define end-to-end test strategies for RAG, retrieval, generation, response coherence, and knowledge correctness Develop test plans & automation frameworks to validate system performance across real-world scenarios. Hands-on experience in benchmarking and optimizing Deep Learning Models on AI Accelerators/GPUs Implement E2E solutions to integrate Inference systems with customer software workflows Identify and implement metrics to measure retrieval accuracy, LLM response quality Test Automation Build automated pipelines for regression, integration, and adversarial testing of RAG workflows. Validate search relevance, document ranking, and context injection into LLMs using rigorous test cases. Collaborate with ML engineers and data scientists to debug model failures and identify areas for improvement. Conduct scalability and latency tests for retrieval-heavy applications. Analyze failure patterns, drift detection, and robustness against hallucinations and misinformation. Collaboration Work closely with AI research, engineering teams & customer teams to align testing with business requirements. Generate test reports, dashboards, and insights to drive model improvements. Stay up to date with the latest AI testing frameworks, LLM evaluation benchmarks, and retrieval models. Required Qualifications: 8+ years of experience in AI/ML system testing, software quality engineering, or related fields. Bachelors or masters degree in computer science engineering/ data science / AI/ML Hands-on experience with test automation frameworks (e.g., PyTest, Robot Framework, JMeter). Proficiency in Python, SQL, API testing, vector databases (e.g., FAISS, Weaviate, Pinecone) and retrieval pipelines. Experience with ML model validation metrics (e.g., BLEU, ROUGE, MRR, NDCG). Expertise in CI/CD pipelines, cloud platforms (AWS/GCP/Azure), and containerization (Docker, Kubernetes). Why Join Us Work on cutting-edge AI retrieval-augmented generation technologies Collaborate with world-class AI researchers and engineers. If you are passionate about AI system testing and ensuring the reliability of next-generation generative models, apply now! Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Test Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Test Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Test Engineering or related work experience.

About The Role Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. ? Mandatory Skills Data Science, ML, DL, NLP or Computer Vision, Python, Tensorflow, Pytorch, Django, PostgreSQL Preferred Skills Gen AI, LLM, RAG, Lanchain, Vector DB, Azure Cloud, MLOps, Banking exposure ? 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipro’s Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc ? Mandatory Strong understanding of Data Science, machine learning and deep learning principles and algorithms. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Ability to work with large datasets and knowledge of data preprocessing techniques. Strong Backend Python developer Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Expert in applying ML techniques such asclassification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Optimize model performance and scalability for real-time inference and deployment. Experiment with different hyperparameters and model configurations to improve AI model quality. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines. ? 4.Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: Generative AI. Experience8-10 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

???? Remote | ???? AI-first Startup | ???? Equity + Future Salary ???About the Client: Silicon Hub is building the AI-powered future of semiconductor IP discovery and automation Weve already launched a product loved by early customers?and now were looking for our Founding AI Engineer to take our core intelligence engine to the next level This is a founding-level opportunity to lead all things AI at a high-potential startup backed by deep industry insight Youll design and scale real-world systems that power complex search, reasoning, and generation tools?driven by LLMs, embeddings, and proprietary datasets ??? What You'll Do Enhance and scale our current AI-powered features (LLM + embeddings + ElasticSearch stack) Fine-tune or pretrain open models (e g-, OpenAI, Mistral, LLaMA) for domain-specific tasks Build intelligent retrieval and reasoning systems tailored to semiconductor IPs Design agents and AI systems capable of generating new IP metadata, structures, or classifications Be a strategic partner to the CEO and CTO?help shape the future of AI in chip design ?? What Were Looking For Proven experience with LLMs (OpenAI API, HuggingFace, or custom fine-tuning) Strong grasp of RAG pipelines and vector search (Milvus, FAISS, ElasticSearch, hybrid search) Python backend experience (FastAPI or equivalent frameworks) Ability to train or fine-tune models for niche, highly technical domains Understanding of metrics to evaluate generative models and search accuracy Entrepreneurial mindset?able to move fast and iterate with limited resources Willingness to work for equity (with future compensation as we scale) ???? Bonus Points Exposure to semiconductors or EDA tools (even basic knowledge helps!) Experience launching AI-powered product features from scratch Skills in prompt engineering, chunking, and RAG system optimization Familiarity with agent frameworks, tools, or tool-based reasoning Academic research background or notable open-source contributions in ML/NLP ???Why Join Us Youll be the AI owner at a fast-growing deep tech startup Real, hard problems in LLM search, generation, and reasoning to solve Opportunity to shape how IP is created and discovered across the chip industry Work directly with a founder-CEO with a PhD in chip design and an MBA from Duke Build a category-defining product in an untapped multi-billion dollar market Show more Show less

Having minimum 3 5 Years experience in AUTOSAR & AUTOMOTIVE domain Strong working experience in AUTOSAR configuration tools preferably Vector tool chains ( DaVinciConfigPro , DaVinci Developer tools) Understanding and good experience in integration and configuration of the following multiple BSW stacks Communication stack RTE and OS scheduling policies Diagnostic stacks DCM and DTC handling DEM modules Having work experience in AUTOSAR J1939 BSW stacks - Specifically for J1939 based projects 4. working experience on AUTOSAR APP development using embedded C and TRACE32 debugging. Responsibilities: Create software requirements Create Software Design as per organization process standards Develop software according to the guidelines e.g. setting up the project environment, Software requirements and software design