8 Aiml Concepts Jobs

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.,