3 Aiml Concepts Jobs

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.,