16 Aiml Concepts Jobs

As a Senior Software Engineer at BotPenguins AI chatbot & Agents platform, you will be a key contributor to the design, development, and optimization of our cutting-edge solutions. Your role will involve collaborating with cross-functional teams, including product managers, tech leads, and customer success teams, to build robust backend APIs, integrate with frontend applications, and enhance system performance. Additionally, you will be responsible for conducting code reviews, mentoring junior developers, and upholding high software quality standards. This position presents exciting opportunities to create impactful AI-driven solutions and shape the future of conversational automation. To excel in this role, you should hold a Bachelor's degree in Computer Science, IT, or a related field, along with 2-5 years of experience in software development. Your technical skills should include a strong understanding of MEAN/MERN Stack technologies, expertise in software architecture planning and low-level design, the ability to develop scalable and high-performance solutions, hands-on experience in backend API development and UI integration, familiarity with cloud platforms like AWS and containerization tools (Docker, Kubernetes), understanding of AI/ML concepts in development, and proficiency in version control and project management tools. In addition to technical skills, you are expected to possess soft skills such as a strong analytical mindset, leadership capabilities, and a passion for mentoring junior developers. Your day-to-day responsibilities will involve collaborating with the Product Team to implement technical solutions for new features, working closely with Technical Leads & Senior Developers to define software architecture, conducting code reviews, developing backend APIs, performing automated testing, documenting technical processes, monitoring system performance, assisting the Customer Success Team in resolving technical challenges, and mentoring junior engineers. You may also be required to undertake any other tasks relevant to the product. Working at BotPenguins offers you the chance to be part of an innovative AI startup at the forefront of chatbot automation. You will join a passionate and talented team that values knowledge-sharing and problem-solving, in a growth-oriented environment with ample learning opportunities. You will have exposure to top-tier global clients and projects with real-world impact, enjoy flexible work hours, and prioritize work-life balance. Our culture fosters creativity, ownership, and collaboration, and based on your performance, this role presents the potential for promotion to a VP position.,

As a Product Technical Lead, you will play a crucial role in connecting the product vision with technical implementation. Your responsibilities will include leading discussions on product architecture, defining technical roadmaps, and guiding engineering teams to create high-performance, scalable solutions for our AI chatbot platform, BotPenguin. This position requires strategic thinking, hands-on development experience, and leadership skills to align cross-functional teams towards the success of the product. You will collaborate closely with product managers, senior engineers, AI specialists, and business stakeholders. Additionally, you will oversee code reviews, mentor junior developers, and uphold high software quality standards. This role presents exciting opportunities to develop impactful AI-driven solutions and influence the future of conversational automation. To succeed in this role, you should possess a Bachelor's degree in Computer Science, IT, or a related field, along with a minimum of 5 years of experience in software engineering, including at least 2 years in a technical leadership capacity. You must demonstrate expertise in scalable system design, product architecture, MEAN/MERN Stack technologies, software architecture planning, low-level design, and implementing product-level architectural patterns. Proficiency in creating and implementing scalable, high-performance solutions, backend API development, UI integration, cloud platforms like AWS, containerization (Docker, Kubernetes), AI/ML concepts, version control tools (GitLab/GitHub), and project management tools (Notion) is essential. Strong analytical mindset, leadership skills, and a dedication to mentoring junior developers are also critical soft skills for this role. Your primary responsibilities will involve leading technical architecture design and roadmap planning for BotPenguin's core platform, collaborating with the Product Manager to align product vision with technical execution, designing and developing core platform modules, enforcing technical best practices, evaluating and integrating AI models and automation tools, ensuring application performance, security, and scalability, and supporting technical issue resolution for Customer Success and QA teams. Additionally, you will drive technical discussions, conduct code reviews, foster a culture of continuous improvement and innovation, collaborate with the Product Team on implementing new features, define software architecture with Technical Leads, develop backend APIs, conduct testing, document technical processes, and collaborate with various teams to enhance user experience. Working in this role will allow you to lead the evolution of a rapidly growing AI product, be part of an innovative AI startup driving chatbot automation, collaborate with a talented team, access ample learning opportunities, engage with global clients and impactful projects, enjoy flexible work hours, and contribute to a culture of creativity, ownership, and collaboration. Exceptional performance in this role may lead to promotion opportunities to a VP/CTO position. In summary, as a Product Technical Lead, you will drive the technical aspects of BotPenguin, collaborate with various teams to enhance product features, ensure high software quality, and contribute to the growth and success of our AI chatbot platform.,

ValGenesis is a leading digital validation platform provider for life sciences companies, with its suite of products being utilized by 30 of the top 50 global pharmaceutical and biotech companies. These products play a crucial role in achieving digital transformation, ensuring total compliance, and enabling manufacturing excellence and intelligence throughout the product lifecycle. As a part of the team at ValGenesis, you will collaborate with Business Analysts/Product Owners, Developers, SDETs, and others in the development of enterprise software applications. Your responsibilities will include understanding business requirements, participating in the complete development life cycle, designing and implementing test strategies, test plans, test cases, test automation, and execution. You will focus on validating the functionality, performance, and reliability of AI/ML models, evaluating various aspects such as accuracy, bias, robustness, and safety. Additionally, you will track model performance, identify issues, and provide regular reports on quality and reliability. Crafting and refining the prompts or instructions to guide the development of Generative AI models will also be a key aspect of your role. To excel in this position, you should have 2 to 6 years of experience in enterprise software product development lifecycle/phases, along with a solid blend of software testing expertise and a deep understanding of AI/ML concepts, tools, and frameworks. Proficiency in Generative AI model algorithms, training, deployment processes, evaluating model performance metrics, and assessing models for bias, fairness, and ethical concerns are essential requirements. Experience in Python programming and tools like OpenAI, TensorFlow, PyTorch, DialogFlow, and integrating testing processes into CI/CD pipelines will be advantageous. ValGenesis has been at the forefront of disrupting the life sciences industry since 2005, introducing the world's first digital validation lifecycle management system. The company continues to innovate and expand its offerings, driving an end-to-end digital transformation platform. Joining the ValGenesis team means being part of a customer-focused organization that values open communication, mutual support, and a commitment to excellence. The company fosters a culture of innovation, encourages personal growth, and maintains a relentless pursuit of market leadership. At ValGenesis, the Chennai, Hyderabad, and Bangalore offices operate onsite five days a week, emphasizing the importance of in-person interaction and collaboration for fostering creativity, building a sense of community, and ensuring future success as a company.,

As an AI Trainer in the manufacturing sector, you will play a crucial role in designing and delivering leadership training programs that leverage AI tools effectively. Your primary responsibility will involve collaborating with internal managers to understand learning needs, defining training goals, and creating engaging content tailored to the manufacturing industry. Your key responsibilities will include designing AI-led learning curriculum focused on leadership development, developing training materials such as presentations, modules, assessments, and use cases, and customizing programs based on client-specific challenges and digital maturity. You will also support the delivery of training sessions and gather feedback for continuous improvement. To excel in this role, you should have at least 5 years of experience in instructional design or corporate training, a good understanding of AI/ML concepts and their business applications, strong communication and content development skills, and the ability to simplify technical topics for non-technical leadership audiences. Experience working with manufacturing or industrial clients will be a plus, and being based in or open to occasional travel to Chennai is preferred. In return, you will have the opportunity to work on impactful AI leadership programs, gain exposure to industry-leading clients, and contribute to digital transformation initiatives that drive business success.,

As the Technical Communications & Training Lead at EdPi Education Pvt Ltd, your primary responsibility will be to lead the creation and management of high-quality content across technical, educational, and product domains. You will collaborate closely with engineering, product, and leadership teams to develop thought leadership, support internal training initiatives, and produce clear and impactful documentation that showcases our innovation in AI, ML, and educational technologies. Your key responsibilities will include researching and writing compelling articles on technical topics in education and computational science, applications of AI/ML and emerging technologies, as well as company updates, achievements, and events. You will also be tasked with developing and maintaining learning resources, onboarding materials, and technical training paths for engineers and internal teams. Additionally, you will create and update product and service documentation such as user guides, API docs, and knowledge bases. Building and managing a knowledge-sharing ecosystem across teams and collaborating with engineering and product teams to simplify complex ideas into accessible content will also be part of your role. To excel in this position, you should possess 2-4 years of experience in technical writing, content strategy, or knowledge management. A strong understanding of applied AI/ML concepts and/or educational technologies is essential, along with excellent written communication and research skills. Previous experience working closely with engineering and product teams is a requirement, and familiarity with tools like Markdown, Notion, Confluence, Git, or documentation platforms is highly desirable. Having a background in computer science, engineering, or education technology is a plus, as is experience in designing or managing internal learning programs. If you have a track record of publishing technical blogs, papers, or editorial content, it would be considered advantageous for this role.,

As a Support Engineer in our AI Enablement team at InfoPark, Cochin, you will be responsible for bridging the gap between AI technology and customer support operations in the homeowners insurance domain. Your role will involve training and deploying AI models to automate support tasks, optimizing intelligent tools for underwriting and claims workflows, and enhancing customer and agent interactions across digital channels while also supporting existing manual tasks. Your key responsibilities will include preparing, labeling, and validating underwriting and claims support data for AI model training, collaborating with AI engineers to automate routine tasks, monitoring AI performance in production, and providing feedback for continuous improvement. You will also act as a liaison between the AI development team and customer support teams, onboard support staff on AI-driven tools, and ensure system maintenance and troubleshooting to support the stability of AI tools across platforms. To be successful in this role, you should have at least 2 years of experience in technical support, customer support, or insurance operations, preferably in homeowners insurance. Additionally, you should possess a basic understanding of AI/ML concepts, particularly Natural Language Processing (NLP), and have experience with support platforms like Zendesk, HubSpot, or Salesforce. Strong analytical, troubleshooting skills, and excellent interpersonal and communication skills are also essential. Preferred qualifications include experience in labeling or training datasets for AI/chatbot models, exposure to tools like chatGPT, Gemini, Copilot, knowledge of data privacy practices, compliance standards in the insurance sector, and basic proficiency in Python or SQL for data handling. Join us to play a central role in transforming the insurance industry with AI, collaborate with global teams, work in a modern, innovation-driven environment at InfoPark, Cochin, and enjoy a flexible, inclusive work culture with growth opportunities in AI and insurance technology. This full-time position in Kochi requires a minimum of 2 years of relevant experience, and you should be ready to relocate to Kochi and work from the office immediately. You will report to the Director of AI Operations / Support Automation Lead. Qualifications: Any Graduates, preferably in finance or IT field.,

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We're a technology company that leads with our humanity, driving our business priorities alongside meaningful social, community, and societal impact. Ciena is seeking a highly motivated and skilled AI Verification Engineer to join our growing team. You will be responsible for the verification and validation of AI/ML models and their integration within our networking products and solutions. You will play a critical role in ensuring the quality, performance, and reliability of our AI-powered offerings, contributing to the next generation of intelligent networks. **Verification And Validation** - **AI Agent & Application Testing Strategy**: Design, develop, and execute comprehensive test plans, strategies, and test cases specifically tailored for LLM-powered AI agents and applications. - **Adversarial, Robustness & Edge Case Testing**: Proactively design and implement adversarial attack simulations, stress tests, and sophisticated techniques to identify and test edge cases, ensuring the robustness, safety, and resilience of AI agents against unexpected, novel, or malicious inputs. Knowledge of attack prevention strategies to counteract RAG poisoning, Prompt injection. - **Comprehensive Test Methodologies for AI**: Strong knowledge and practical application of a wide range of testing types (functional, non-functional, performance, integration, security, usability, A/B testing, metamorphic testing, etc.) and proven ability to adapt and innovate them for the unique challenges of AI systems. - **RAG & Knowledge Base Validation**: Rigorously test and validate the effectiveness, accuracy, concurrency, and relevance of RAG pipelines and knowledge base integrations in enhancing AI agent performance, knowledge grounding, and preventing information leakage. Collaborate with development teams to optimize AI/ML model performance and efficiency within resource constraints. Investigate and resolve performance issues in AI/ML-driven network applications. - **Prompt Engineering**: Develop, test, and optimize effective prompts for LLMs. Continuously analyze model responses and iteratively redefine prompts to improve accuracy and context relevance. Document prompt strategies and outcomes to build reusable prompt libraries and knowledge bases. Evaluate model performance on different prompts using qualitative and quantitative metrics. Explore and implement prompt engineering techniques such as zero-shot, few-shot, and chain-of-thought prompting. Troubleshoot and mitigate undesired outputs including bias, hallucination, or security risks arising from prompts. Contribute to AI/ML model fine-tuning project requirements with prompt engineering expertise. - **Research and Development**: Stay up to date with the latest advancements in AI/ML verification and validation techniques. Research and evaluate new tools, technologies, and methodologies for AI/ML testing. Contribute to the development of best practices and standards for AI/ML verification at Ciena. **Qualifications:** - Bachelors or masters degree in computer science, Data Science, Machine Learning, or related fields. **Experience:** - Minimum 3+ years of experience in QA with specific experience in testing cloud-based AI/ML solutions. **Skills:** - Strong understanding of AI/ML concepts and techniques. - Familiarity with common AI/ML model development frameworks. - Programming skills in Python or other relevant programming languages. - Understanding of APIs and API programming. - Database experience SQL or any other database system. - Experience with data analysis and visualization tools. Experience working with large datasets and data pipelines. - Experience with DevOps practices and CI/CD pipelines. - Knowledge of security vulnerabilities and their impact on AI/ML models is a plus. - Nice to have: Google ADK experience. If you're not ready to apply, you can join our Talent Community to get relevant job alerts straight to your inbox. At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination. Ciena is an Equal Opportunity Employer, including disability and protected veteran status. If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.,

As an experienced and driven Product Lead Engineer, you will be responsible for leading the technical architecture design and roadmap planning. Your role will involve collaborating with the Product Manager to ensure that technical solutions align with business goals. You will design and develop core platform modules such as automation, chat assignment, analytics, and multi-agent features. It will also be your responsibility to define and enforce best practices, coding standards, and documentation. Furthermore, you will evaluate and integrate AI/ML models, automation tools, and modern technologies to enhance product capabilities. Ensuring the performance, security, and scalability of product deployments will be crucial. You will provide support to QA and Customer Success teams in issue resolution and root cause analysis. Conducting code reviews, technical discussions, and ensuring timely delivery of features will also be part of your responsibilities. Additionally, documenting APIs, architecture, troubleshooting steps, and internal tools will be essential. You will mentor junior developers, promote learning, and contribute to growing technical capabilities across the team. Continuously monitoring system performance and suggesting optimizations will be key to enhancing product efficiency. To qualify for this role, you should have a Bachelor's degree in Computer Science, IT, or a related field and a minimum of 5+ years of experience in software engineering, with at least 2+ years in a technical leadership position. Your technical skills should include strong expertise in MEAN/MERN stack technologies, system design, product architecture, and low-level technical planning. Backend API development, UI integration experience, and familiarity with AWS, Docker, Kubernetes, and cloud-native environments are required. Understanding AI/ML concepts, LLM integration, version control tools like GitHub/GitLab, and project management tools such as Notion or similar are also essential. In addition to technical skills, you should possess strong analytical and leadership skills, a passion for mentoring and growing engineering teams, and a proactive and collaborative mindset. This role offers you the opportunity to work on a fast-growing, high-impact SaaS product, lead technical initiatives that shape the user experience, be part of a talented and collaborative tech team, and enjoy a flexible and innovation-friendly work culture. If you meet the qualifications and are available to join immediately or within one week, this Full-time Product Lead Engineer position based in Mohali, Punjab could be the next step in your career.,

As a Senior Associate for the Responsible AI Office with 10 to 18 years of experience, you will play a crucial role in supporting the development and market success of responsible AI initiatives. Your responsibilities will involve collaborating with technical teams, business functions, and external stakeholders to ensure that AI offerings meet customer needs and regulatory requirements. This position offers a unique opportunity to work at the intersection of AI technology, commercial strategy, and regulatory compliance, allowing you to contribute to the development, positioning, and delivery of responsible AI capabilities in the market. Your key responsibilities will include: - Supporting the development of market-ready responsible AI tools, frameworks, and assessment methodologies with clear commercial value propositions - Assisting in RFP responses by providing technical content, governance frameworks, and compliance documentation - Contributing to customer presentations and sales conversations by preparing technical briefings and responsible AI positioning materials - Conducting market research and competitive analysis to identify opportunities for RAI offerings and understand customer requirements - Supporting business case development, pricing strategy, and customer needs assessment for responsible AI products and services - Helping develop customer education materials, case studies, and thought leadership content that demonstrate commercial value - Supporting partnership development by identifying potential collaborators and preparing partnership materials - Contributing to go-to-market strategy development, market segmentation, and customer journey mapping In addition, you will be responsible for providing project management support for cross-functional responsible AI initiatives, coordinating meetings, managing calendars, and maintaining project documentation. You will also support industry standards engagement, external partnerships, internal governance policies, and business enablement activities. To be successful in this role, you should have a Bachelor's degree in Computer Science, Engineering, Business, Economics, or a related field, along with 3-4 years of experience in technology, consulting, business strategy, or related fields. Strong analytical and research skills, excellent communication abilities, and a demonstrated interest in AI and technology commercialization are essential. You should also have a good understanding of technology business models, AI/ML concepts, enterprise sales processes, compliance, and governance frameworks. This position offers valuable experience at the intersection of AI technology and business strategy, providing a foundation for career growth in product management, business development, or specialized AI governance roles. You will have the opportunity to build cross-functional skills, contribute to industry standards work, and develop a professional network in the AI and technology sector.,

As a Product Manager, you will collaborate with product managers, engineers, and stakeholders to define technical requirements for product features and enhancements. You will analyze platform usage data and user behavior to inform product design and development. Conduct market and competitor analysis to benchmark features, pricing, and technical capabilities. Prepare technical documentation, user stories, product specifications, and data flow diagrams. Monitor and evaluate product performance, using metrics and KPIs to recommend improvements. Translate complex technical concepts into clear, actionable insights for both technical and non-technical audiences. Perform QA testing by validating product functionalities and identifying technical issues. Stay updated on emerging technologies, AI tools, and trends relevant to product innovation. You should have a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Business Analytics, or a related field. A strong understanding of product lifecycle and agile development methodologies is required. Proficiency in tools such as MS Excel, Google Sheets, JIRA, Confluence, and SQL is essential. Familiarity with AI/ML concepts, APIs, and cloud platforms (AWS, Azure, etc.) is preferred. Strong analytical thinking and problem-solving skills are necessary. Excellent verbal and written communication skills are a must. Experience with wireframing tools (Figma, Balsamiq) and data visualization (Tableau, Power BI) is a plus. You should be able to work independently and in cross-functional teams. This is a full-time, permanent position located in Nagpur, Maharashtra. The work location is in person. Benefits include leave encashment, paid sick time, and paid time off. Education: Bachelor's degree is required. Experience: 1 year of experience in product management is required. To speak with the employer, contact +91 7499927369.,

Qualcomm India Private Limited is a leading technology innovator that is dedicated to enabling next-generation experiences and driving digital transformation for a smarter, connected future. As a Qualcomm Hardware Engineer, you will be involved in planning, designing, optimizing, verifying, and testing electronic systems across a wide range of areas such as circuits, mechanical systems, Digital/Analog/RF/optical systems, FPGA, and/or DSP systems. Collaborating with cross-functional teams, Qualcomm Hardware Engineers play a crucial role in developing cutting-edge products that meet performance requirements. To be considered for this role, you should possess a Bachelor's degree, Master's degree, or PhD in Computer Science, Electrical/Electronics Engineering, or a related field, along with relevant work experience. We are currently looking for an EM/IR Methodology Engineer to join our team. This role focuses on developing and maintaining methodologies for Electromigration (EM) and Voltage Drop (IR) analysis to ensure robust and reliable designs in advanced semiconductor technologies. The ideal candidate will work closely with various teams to optimize power delivery networks and ensure compliance with EM/IR standards. Key Responsibilities: - Developing, validating, and optimizing methodologies for EM and IR analysis in advanced semiconductor designs. - Collaborating with design, CAD, and physical implementation teams to optimize power delivery networks. - Enhancing and automating workflows to improve PDN analysis efficiency. - Partnering with EDA tool vendors to enhance and customize EM/IR analysis tools. - Supporting design teams in EM/IR verification and sign-off. Required Skills and Qualifications: - Bachelors or Masters degree in Electronics, Electrical Engineering, or a related field. - 3-7 years of experience in EM/IR analysis or physical design methodology. - Strong understanding of EM and IR concepts and their impact on circuit reliability. - Hands-on experience with EM/IR analysis tools such as Voltus, RedHawk, Totem, or equivalent. - Experience with 2.5D/3D-IC, CoWoS, InFO, and WoW technologies. - Exposure to AI/ML concepts will be a bonus. - Proficiency in scripting languages such as Python, Perl, or Tcl for workflow automation. - Good understanding of STA concepts. - Strong problem-solving and analytical skills. - Excellent communication and teamwork skills. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. For accommodation requests during the application/hiring process, please contact Qualcomm. Additionally, Qualcomm expects its employees to adhere to all applicable policies and procedures, including confidentiality requirements. Please note that Qualcomm's Careers Site is for individuals seeking jobs directly at Qualcomm. Staffing and recruiting agencies are not authorized to submit profiles, applications, or resumes on behalf of individuals. Unsolicited submissions from agencies will not be accepted. For more information about this role, please contact Qualcomm Careers.,

You are a highly skilled and passionate Full Stack Lead with significant hands-on experience in developing, deploying, and migrating applications on Google Cloud Platform (GCP) while also integrating Generative AI technologies. Your role involves building and maintaining scalable, reliable, and innovative solutions across the full stack, leveraging GCP services and GenAI models to drive business value. Working in a fast-paced environment, collaborating with cross-functional teams, and taking ownership of projects from conception to deployment are key aspects of your responsibilities. Your responsibilities include designing, developing, testing, and deploying high-quality, scalable web applications using modern front-end and back-end technologies. You will also design and develop RESTful APIs for internal and external consumption, ensuring security and performance. Additionally, your role involves application migration to GCP, implementation of robust and scalable solutions on Google Cloud Platform, and participation in CI/CD pipeline development and automation. You will write clean, well-documented, and testable code, participate in code reviews, and implement automated testing strategies. Collaboration and communication with product managers, designers, data scientists, and other developers are essential for defining requirements, designing solutions, and delivering high-quality products. Implementing security best practices throughout the development lifecycle and staying up-to-date with the latest trends and technologies in full-stack development, GCP, and Generative AI are also part of your responsibilities. As a Full Stack Lead, you should have a Bachelor's degree in computer science or a related field with at least 8 years of professional experience as a Full Stack Engineer. Proficiency in modern front-end and back-end technologies, experience with Enterprise SSO technologies, expertise in source control repositories and build tools, and extensive hands-on experience with GCP services are required technical skills. Additionally, experience with relational and NoSQL databases, RESTful APIs, troubleshooting during application migration to GCP, and relevant GCP certifications are necessary qualifications. Having experience with Generative AI and Agent AI models, DevOps practices, and soft skills such as excellent communication, collaboration, problem-solving, adaptability, ownership, and initiative are considered advantageous for this role. Your proactive and self-motivated approach, ability to identify opportunities for improvement, and drive projects to completion will contribute to your success as a Full Stack Lead.,

You will be responsible for overseeing and managing the end-to-end application delivery across various platforms such as Java J2EE, Microsoft, SAP, etc. You will need to ensure that all application managed services are compliant with organizational policies, data privacy regulations, and security standards. Additionally, you will be required to build and configure automation tools to optimize application monitoring, deployment, and support processes. You will also play a key role in solutioning application-related RFPs and Bids from an end-to-end perspective and creating enterprise architecture solutions. As a Subject Matter Expert (SME) for application development, solutioning, maintenance, and optimization, you will provide direction and guidance to development and support teams. Your expertise in DevOps practices and automation tools such as Jenkins and Ansible, along with experience in managing large-scale enterprise systems, will be crucial for this role. Your strong orientation in Enterprise Architecture, certifications in Java, Microsoft technologies, TOGAF, and experience with tools like ServiceNow, JIRA, or similar for monitoring, delivery, and service management will be highly desirable. Ideal candidates should have a Bachelor's degree in computer science, Information Technology, or a related field, along with 12+ years of experience in managing application services for enterprise systems. Proven experience with application lifecycle management, hands-on experience with incident, problem, release, and change management processes, as well as a strong understanding of SAP and other ERP platforms are preferred qualifications. Experience working in cloud-based environments such as AWS and Azure is a plus. In this role, you should have 15 years of Delivery & Implementation experience in all ITIL processes, knowledge and experience of IT enablement tools across a mix of OEMs, and a good understanding of AI/ML concepts and implementation from an automation perspective. You should also possess the capability of building metrics and dashboards for operational excellence and management reporting, designing ITIL process-based delivery, and the ability to build and manage teams from an Automation and ITIL governance perspective. Excellent customer engagement and communication skills, multi-vendor exposure, and excellent vendor management skills are essential for success in this role. Industry Certification in ITIL v4 Foundation is required, and further levels would help add more credibility. Experience of supporting Indian domestic customers is preferred.,

Qualcomm India Private Limited is a leading technology innovator that strives to enable next-generation experiences and drive digital transformation towards creating a smarter, connected future for all. As a Qualcomm Software Engineer, your role will involve designing, developing, modifying, and validating embedded and cloud edge software, applications, and specialized utility programs to launch cutting-edge, world-class products that exceed customer expectations. Collaboration with systems, hardware, architecture, test engineers, and other teams will be essential to design system-level software solutions and gather information on performance requirements and interfaces. Minimum Qualifications: - Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 2+ years of Software Engineering experience - OR Master's degree in Engineering, Information Systems, Computer Science, or related field with 1+ year of Software Engineering experience - OR PhD in Engineering, Information Systems, Computer Science, or related field - 2+ years of academic or work experience with Programming Languages such as C, C++, Java, Python, etc. Title: Senior Engineer Job Function: Network Stack Development with AI Skills/Experience Required: - 3-5 years of proficiency in C/C++ programming languages and Linux operating systems - Strong understanding of Networking concepts, particularly with L3/L4 (Layer 3/Layer 4) experience - Knowledge of AI/ML concepts Responsibilities: - Contribute to the design and implementation of AI modules for network stack components - Perform thorough testing to ensure the reliability and performance of the developed components Education Requirements: - BE/MTech/MS in a relevant field Qualcomm is an equal opportunity employer and is committed to providing accessible processes for individuals with disabilities. Reasonable accommodations can be requested by emailing disability-accommodations@qualcomm.com or calling Qualcomm's toll-free number. The workplace is also accessible for individuals with disabilities. Employees at Qualcomm are expected to adhere to all applicable policies and procedures, including security and confidentiality requirements regarding Company confidential information. Note to Staffing and Recruiting Agencies: Qualcomm's Careers Site is intended for individuals seeking job opportunities directly at Qualcomm. Staffing agencies and individuals represented by an agency are not authorized to use this site for submissions. Unsolicited submissions from agencies will not be accepted. For more information about the role, please contact Qualcomm Careers.,

Qualcomm India Private Limited is looking for a skilled and dedicated EM/IR Methodology Engineer to join their team. As a Qualcomm Hardware Engineer, you will be involved in planning, designing, optimizing, verifying, and testing electronic systems, circuits, mechanical systems, and various other cutting-edge technologies to launch world-class products. You will 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 with 3+ years of Hardware Engineering experience. - OR Master's degree in relevant field with 2+ years of experience. - OR PhD in relevant field with 1+ year of experience. Key Responsibilities: - Develop and optimize methodologies for Electromigration (EM) and Voltage Drop (IR) analysis. - Collaborate with design, CAD, and physical implementation teams to optimize power delivery networks. - Enhance workflows for improved PDN analysis efficiency. - Partner with EDA tool vendors to enhance EM/IR analysis tools. - Support design teams in EM/IR verification and sign-off. Required Skills and Qualifications: - Bachelors or Masters degree in Electronics, Electrical Engineering, or related field. - 3-7 years of experience in EM/IR analysis or physical design methodology. - Strong understanding of EM and IR concepts. - Hands-on experience with EM/IR analysis tools such as Voltus, RedHawk, Totem, or equivalent. - Experience with advanced technologies like 2.5D/3D-IC, CoWoS, InFO, and WoW. - Exposure to AI/ML concepts will be a bonus. - Proficiency in scripting languages like Python, Perl, or Tcl. - Good understanding of STA concepts. - Strong problem-solving and analytical skills. - Excellent communication and teamwork skills. Qualcomm is an equal opportunity employer and is committed to providing accessible processes for individuals with disabilities. The company expects its employees to adhere to all applicable policies and procedures, including confidentiality requirements. Staffing and recruiting agencies are not authorized to submit profiles, applications, or resumes on behalf of individuals. If you are interested in this role, please contact Qualcomm Careers for more information.,

We are looking for a highly skilled and passionate Full Stack Lead to be a part of our expanding team. This position is perfect for someone with substantial hands-on experience in developing, deploying, and migrating applications on Google Cloud Platform (GCP), along with expertise in integrating and utilizing Generative AI technologies. Your primary responsibility will be to construct and sustain scalable, dependable, and innovative solutions across the full stack, utilizing GCP services and GenAI models to enhance business value. Being comfortable in a fast-paced setting, collaborating with various teams, and overseeing projects from inception to deployment are essential skills for this role. Full Stack Development: As a Full Stack Lead, you will design, develop, test, and deploy high-quality, scalable web applications using modern front-end and back-end technologies. API Development: You will be responsible for designing and creating RESTful APIs for both internal and external use, ensuring security and performance standards are met. GCP Cloud Migration: You must have experience in application migration to GCP, and design and implement robust and scalable solutions on Google Cloud Platform using services such as Cloud Run, Cloud Functions, Cloud Storage, Cloud SQL, and Kubernetes Engine (GKE), Openshift CaaS. DevOps Practices: Participate in the development and automation of CI/CD pipelines, implement infrastructure as code (IaC) using tools like Terraform, and monitor application performance while troubleshooting issues. Code Quality & Testing: Your role will involve writing clean, well-documented, and testable code, participating in code reviews, and implementing automated testing strategies. Collaboration & Communication: Work closely with product managers, designers, data scientists, and other developers to define requirements, design solutions, and deliver high-quality products. Communicate effectively with technical and non-technical stakeholders. Understand and Collaborate with Dev enablement/ITO/Engineering teams for support and adherence to Ford IT's architecture standards and processes within the department as appropriate. Security: Implement security best practices throughout the development lifecycle to ensure applications are secure and compliant with regulations. Continuous Learning: Stay updated with the latest trends and technologies in full-stack development, GCP, and Generative AI. Generative AI Integration: Integrate Generative AI models into applications to enhance user experiences, automate tasks, and generate insights. Build accelerators for large-scale migrations using GenAI. Qualifications: - Experience: 8+ years of professional experience as a Full Stack Engineer with the ability to drive the Transformation program across Teams. - Education: Bachelor's degree in computer science or a related field. Technical Skills: - Front-End: Proficiency in at least one modern front-end framework (e.g., React, Angular). Strong understanding of HTML, CSS, and JavaScript. - Back-End: Knowledge of multiple backend technologies and proficiency in at least one back-end language (e.g., Java, Node.js, Python). - Cloud: Extensive hands-on experience with Google Cloud Platform (GCP) services. - Databases: Experience with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB). - APIs: Experience in designing and developing RESTful APIs. - Certification Requirements: Google Cloud Certified Professional Cloud Architect, Google Cloud Certified Professional Cloud Developer, or other relevant GCP certifications. Soft Skills: - Communication: Excellent written and verbal communication skills. - Collaboration: Strong teamwork and collaboration skills. - Problem-Solving: Strong analytical and problem-solving skills. - Adaptability: Ability to learn quickly and adapt to new technologies. - Ownership: Ability to take ownership of projects and drive them to completion. - Initiative: Proactive and self-motivated with a keen eye for improvement opportunities.,