98 Mixed Model Jobs in Tiruppur

Role Overview: As a Senior AI Engineer (Tech Lead) at EY, you will be a crucial part of the team, utilizing your expertise in Data Science and Machine Learning to design and implement cutting-edge AI solutions. With a minimum of 4 years of experience, preferably in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture, you will play a key role in the development and implementation of AI solutions. Your deep understanding of AI technologies will be instrumental in creating innovative AI models and systems. Additionally, your proficiency in data engineering, DevOps, and MLOps practices will be highly valued in this role. Responsibilities: - Contribute to the design and implementation of state-of-the-art AI solutions. - Lead a team of 4-6 developers. - Assist in the development and implementation of AI models and systems, utilizing techniques such as Large Language Models (LLMs) and generative AI. - Collaborate with stakeholders to identify business opportunities and define AI project goals. - Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. - Utilize generative AI techniques like LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. - Integrate with relevant APIs and libraries such as Azure Open AI GPT models and Hugging Face Transformers to enhance generative AI capabilities. - Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. - Utilize vector databases like Redis and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. - Implement similarity search algorithms and techniques for efficient retrieval of relevant information from generative AI outputs. - Collaborate with domain experts, stakeholders, and clients to tailor generative AI solutions to specific business requirements. - Conduct research and evaluation of advanced AI techniques to enhance performance and efficiency. - Establish evaluation metrics and methodologies to assess the quality of generative AI outputs for enterprise industry use cases. - Ensure compliance with data privacy, security, and ethical considerations in AI applications. - Leverage data engineering skills for data curation, cleaning, and preprocessing for generative AI applications. Requirements: - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR, and document intelligence. - Experience in leading a team of 4-6 developers. - In-depth knowledge of machine learning, deep learning, and generative AI techniques. - Proficiency in programming languages like Python, R, and frameworks such as TensorFlow or PyTorch. - Strong understanding of NLP techniques and frameworks like BERT, GPT, or Transformer models. - Familiarity with computer vision techniques for image recognition, object detection, or image generation. - Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. - Experience with RESTful API design and development. - Experience with cloud platforms like Azure, AWS, or GCP and deploying AI solutions. - Expertise in data engineering, data curation, cleaning, and preprocessing. - Knowledge of trusted AI practices for fairness, transparency, and accountability in AI models. - Strong collaboration skills with software engineering and operations teams. - Excellent problem-solving and analytical skills to translate business requirements into technical solutions. - Strong communication and interpersonal skills for effective collaboration with stakeholders. - Understanding of data privacy, security, and ethical considerations in AI applications. - Track record of innovation and staying updated with the latest AI research. Good to Have Skills: - Understanding of agentic AI concepts and frameworks. - Proficiency in designing or interacting with agent-based AI architectures. - Apply trusted AI practices for fairness, transparency, and accountability. - Utilize optimization tools like MIP (Mixed Integer Programming). - Drive DevOps and MLOps practices for continuous integration, deployment, and monitoring of AI models. - Implement CI/CD pipelines for streamlined model deployment and scaling processes. - Utilize tools like Docker, Kubernetes, and Git for building and managing AI pipelines. - Apply infrastructure as code (IaC) principles with tools like Terraform or CloudFormation. - Implement monitoring and logging tools for AI model performance and reliability. - Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.,

Role Overview: As a Deputy Manager/ Manager/ Senior Manager Hardware at Schneider Electric, your primary responsibility will be to design and develop Electronics Hardware, specifically focusing on power supply design and testing as per product requirements. You will oversee Analog & Digital circuit design, Signal Integrity and High-speed design, and the selection and peripheral design of controllers/processors like Memory, RTC, Display, etc. Your expertise in mixed signal electronics hardware, high-speed design, and PCB design will be pivotal for the successful execution of your role. Key Responsibilities: - Designing and developing Electronics Hardware - Conducting power supply design and testing in alignment with product requirements - Executing Analog & Digital circuit design - Implementing Signal Integrity and High-speed design techniques - Selecting and designing peripherals for controllers/processors - Utilizing hands-on experience in mixed signal electronics hardware, high-speed design, and PCB design - Performing simulation of electronic circuits using tools like PSpice, LTSpice, Model Sim, etc. - Applying knowledge of global hardware design practices such as IEC, CE, UL, ATEX, etc. and product standards - Understanding EMI/EMC and incorporating design considerations - Familiarizing yourself with various communication protocols like Modbus RTU, USB, CAN, TCP, Profibus, etc. from a hardware design perspective Qualification Required: - B.E/ B.Tech in Electronics/Electronics Telecom - 3-9 years of experience in embedded systems (hardware development) Note: The above qualifications and experience are necessary to excel in the role of Deputy Manager/ Manager/ Senior Manager Hardware at Schneider Electric. About Schneider Electric: Schneider Electric SE is a French multinational company known for its expertise in digital automation and energy management. As a Fortune Global 500 company with significant revenues, Schneider Electric focuses on leveraging energy technologies, real-time automation, software, and services to address various sectors such as homes, buildings, data centers, infrastructure, and industries. Noteworthy subsidiaries of Schneider Electric include APC, Aveva, and Lauritz Knudsen E&A. Location: Mahape, Navi Mumbai Schedule: Full-time Req Id: 009F2I,

As an Analog Mixed Signal Designer at ARF Design, you will be responsible for working on the design of building blocks used in high-speed IPs such as DDR, LPDDR, HBM, UCIe, and PCIe. Your primary responsibilities will include: - Deriving circuit block level specifications from top-level specifications - Conducting optimized transistor-level design of analog and custom digital blocks - Performing Spice simulations to cover detailed specifications - Guiding layout design for best performance, matching, and power delivery - Characterizing the performance of designs in PVT + mismatch corners, including reliability checks - Generating and delivering behavioral (Verilog), timing (lib), and physical (LEF) models of circuits - Conducting design reviews at different phases/maturity of the design Qualifications required for this role include: - BE/M-Tech in Electrical & Electronics - Good fundamentals in RLC circuits, CMOS devices, and circuits, and with digital design building blocks (e.g., counters, FSMs) - Prior experience with custom design environments (e.g., Cadence Virtuoso, Synopsis Custom Design Family) and Spice simulators - Collaborative and positive attitude At ARF Design, you will have growth and learning opportunities such as close collaboration with experienced mentors and the chance to work on advanced process technologies like 12nm, 7nm, 5nm, 3nm, 2nm, leading to fast-paced growth for high-performance individuals. Example designs you may work on include Wireline channel Transmitters (Tx), Receivers (Rx), Equalization circuits (FFE, DFE, CTLE), Serializer, deserializer, Bandgap reference, low dropout (LDO) regulators, PLL, DLL, Phase Interpolator, Comparators, DACs, ADCs. If you are prepared to take on this challenge and advance your career, please reach out to poojakarve@arf-design.com to learn more about this exciting opportunity.,

As a Statistical Programmer at our company, you will play a crucial role in driving innovation and data-driven decision-making in pharmaceutical sciences. You will have the opportunity to collaborate with top industry professionals, work on impactful projects in drug development, manufacturing, and regulatory submissions. **Key Responsibilities:** - Provide statistical expertise across various areas such as drug substance, drug product, analytical method development, and regulatory activities for small and large molecule entities. - Collaborate closely with statisticians and scientific teams to support experimental design and data analysis. - Independently develop and deploy statistical/computational applets using Python and R. - Clearly communicate statistical concepts in the context of experimental goals to cross-functional stakeholders. - Manage multiple projects and stakeholders concurrently with agility and precision. **Required Skills & Qualifications:** - Minimum 6+ years of industry experience in statistical programming or related roles. - PhD in Statistics or a related field, preferably with experience in a laboratory science environment. - Strong foundation in statistical methods, including descriptive/inferential statistics, general linear and mixed models, and design of experiments. - Proficiency in programming languages such as R, Python, SQL, HTML, and familiarity with commercial statistical packages. - Experience working in Linux, cloud computing, and high-performance computing environments. - Excellent communication skills and ability to build effective working relationships. - Self-driven with a strong ability to learn new skills quickly. **Preferred Qualifications:** - Academic background in a scientific discipline (e.g., chemistry, biology, engineering). - Prior experience in pharmaceutical research and development. - Familiarity with data visualization tools such as Spotfire or Tableau. - Knowledge of statistical applications in process characterization, analytical method transfer, validation, and stability/shelf-life predictions. - Experience working with databases and data management systems. If you join us, you will have the opportunity to work on high-impact projects with global clients in a flexible work environment that values innovation, collaboration, and integrity. You can expect a supportive culture that encourages continuous learning and leadership development. If this aligns with your career aspirations and experience, feel free to share your resume with bharti.shivhare@brihatisglobal.com or contact at +91 96639 20022.,

As a Principal Machine Learning Engineer specializing in Multimodal AI & Inference, your primary responsibility will be to design, optimize, and deploy large multimodal models for efficient operation on a compact, high-performance AI appliance. Your mission includes supporting 100B+ parameter models in real-time speeds by delivering state-of-the-art multimodal inference through advanced model optimization, quantization, and system-level integration. Key Responsibilities: - Model Integration & Porting: - Optimize large-scale foundation models for on-device inference. - Adapt pre-trained models for various multimodal tasks. - Ensure seamless interoperability between different modalities. - Model Optimization for Edge Hardware: - Quantize and compress large models while maintaining high accuracy and low latency. - Implement and benchmark inference runtimes using frameworks. - Collaborate with hardware engineers to co-design optimized model architectures. - Inference Pipeline Development: - Build scalable, high-throughput inference pipelines for concurrent multimodal requests. - Implement strategies for real-time responses. - Develop APIs for low-latency local inference accessible via a web interface. - Evaluation & Benchmarking: - Profile and benchmark performance metrics of deployed models. - Validate numerical accuracy after quantization or pruning. - Define KPIs for multimodal model performance under real-world usage. - Research & Prototyping: - Investigate emerging multimodal architectures and lightweight model variants. - Prototype hybrid models for advanced multimodal applications. - Stay updated on state-of-the-art inference frameworks and compression techniques. Required Qualifications: - Strong background in deep learning and model deployment with hands-on experience in PyTorch and/or TensorFlow. - Expertise in model optimization techniques like quantization, pruning, or mixed-precision inference. - Practical knowledge of inference engines such as vLLM, llama.cpp, ONNX Runtime, etc. - Experience deploying large models locally or on edge devices with limited constraints. - Familiarity with multimodal model architectures and strong software engineering skills. - Understanding of GPU/accelerator utilization, memory bandwidth optimization, and distributed inference. Preferred Qualifications: - 10+ years of experience in the field. - Experience with model-parallel or tensor-parallel inference at scale. - Contributions to open-source inference frameworks or model serving systems. - Familiarity with hardware-aware training or co-optimization of neural networks and hardware. - Background in speech, vision, or multimodal ML research. - Track record of deploying models offline or on embedded/edge systems. Contact: - Uday - Mulya Technologies - Email: muday_bhaskar@yahoo.com Please note that the additional details of the company were not provided in the job description. As a Principal Machine Learning Engineer specializing in Multimodal AI & Inference, your primary responsibility will be to design, optimize, and deploy large multimodal models for efficient operation on a compact, high-performance AI appliance. Your mission includes supporting 100B+ parameter models in real-time speeds by delivering state-of-the-art multimodal inference through advanced model optimization, quantization, and system-level integration. Key Responsibilities: - Model Integration & Porting: - Optimize large-scale foundation models for on-device inference. - Adapt pre-trained models for various multimodal tasks. - Ensure seamless interoperability between different modalities. - Model Optimization for Edge Hardware: - Quantize and compress large models while maintaining high accuracy and low latency. - Implement and benchmark inference runtimes using frameworks. - Collaborate with hardware engineers to co-design optimized model architectures. - Inference Pipeline Development: - Build scalable, high-throughput inference pipelines for concurrent multimodal requests. - Implement strategies for real-time responses. - Develop APIs for low-latency local inference accessible via a web interface. - Evaluation & Benchmarking: - Profile and benchmark performance metrics of deployed models. - Validate numerical accuracy after quantization or pruning. - Define KPIs for multimodal model performance under real-world usage. - Research & Prototyping: - Investigate emerging multimodal architectures and lightweight model variants. - Prototype hybrid models for advanced multimodal applications. - Stay updated on state-of-the-art inference frameworks and compression techniques. Required Qualifications: - Strong background in deep learning and model deployment with hands-on experience in PyTorch and/or TensorFlow. - Expertise in model optimization techniques like quantization, pruning, or mixed-precision inference. - Practical knowledge of inference engines such as vLLM, llama.cpp, ON

Role Overview: Are you looking for a unique opportunity to be a part of something great at Microchip Technology Inc. As a mixed signal design engineer, you will be responsible for the integration and verification of mixed signal blocks in high-speed IOs in FPGAs. Your role will involve floor planning, place and route, timing closure, and integration of mixed signal blocks in the IOs. Key Responsibilities: - Responsible for the integration of mixed signal blocks in the IO, including generating constraint files, floor planning, place and route of performance critical digital blocks in the IO signal path, and timing closure using STA. - Develop and integrate custom mixed signal circuits for high-speed DDR and other IO applications in advanced FinFET nodes, with experience in place and route and timing closure. - Collaborate with the IO lead to understand design requirements, translate them into circuit architectures, implement, and simulate them. - Work closely with layout engineers on floorplan, placement, and routing of designs, creating efficient power delivery and signal routing topology to reduce congestion. - Deliver all collaterals to the chip lead, such as Verilog and functional models, timing libraries, netlists for chip-level integration. - Perform co-sim and AMS simulation to verify design functionality as necessary. - Evaluate new design architectures and integration techniques to enhance current and future IO design. - Support IO Mixed-Signal IP through post-tapeout phase, including lab testing, customer bring-up, and debug. Qualifications Required: - 10+ years of experience in place and route and timing closure of mixed signal blocks in complex SoC. - Experience with Virtuoso schematic capture tool, Tempus, Innovus, and other ASIC tools. - Competency in HSPICE, co-sim, testbench generation and simulation, Verilog coding, and high-speed design techniques (DDRx, PCI-e, USB). - Familiarity with ASIC methodology, scripting, managing simulation queues, data capture, presentation using Microsoft Office tools, and power analysis. - Good analytical, oral and written communication skills, ability to write clean, readable presentations, self-motivated, proactive team player, and ability to work to schedule requirements. - Beneficial experience with FPGA, Memory interfaces, SerDes interfaces, familiarity with DFT, and place and route. (Note: No additional details of the company were mentioned in the job description),

Role Overview: As an Analyst/Consultant within the Marketing Analytics practice of Accenture Strategy & Consulting in Gurgaon, you will assist clients in growing their business by leveraging analytics to drive high performance and make informed decisions based on data insights. You will collaborate with forward-thinking consultants to provide analytically informed insights at scale, helping clients improve outcomes and achieve high performance. Key Responsibilities: - Define data requirements for Data Driven Merchandizing capabilities - Clean, aggregate, analyze, and interpret data - Conduct data quality analysis - Focus on Pricing/Promotions/Assortment Optimization capabilities across retail clients - Utilize Statistical Timeseries models, store clustering algorithms, and descriptive analytics to support merch AI capability - Develop AI/ML models in the Azure ML tech stack - Manage data pipelines and data within different layers of the Snowflake environment - Work on common design patterns for scalable machine learning architectures - Deploy and maintain machine learning models in production - Utilize cloud platforms for pipelining and deploying elasticity models - Create insights presentations and client-ready decks - Mentor and guide junior resources Qualifications Required: - At least 3 years of experience in Data Driven Merchandizing - Knowledge of price/discount elasticity estimation and non-linear optimization techniques - Proficiency in statistical models, store clustering algorithms, and descriptive analytics - Hands-on experience in state space modeling, mixed effect regression - Familiarity with developing AI/ML models in the Azure ML tech stack - Strong communication skills - Logical thinking and analytical skills - Basic task management skills for planning, prioritizing, tracking progress, and reporting (Note: Any additional details of the company were not mentioned in the provided job description),

Role Overview: As a Senior Data Scientist at EY GDS Data and Analytics (D&A), you will leverage your expertise with a minimum of 3 - 7 years of experience in Data Science and Machine Learning to play a key role in developing and implementing AI solutions. Your deep understanding of AI technologies and experience in designing cutting-edge AI models will be crucial in this role. Additionally, proficiency in data engineering, DevOps, and MLOps practices will add value to your responsibilities. Responsibilities: - Contribute to the design and implementation of state-of-the-art AI solutions. - Assist in developing and implementing AI models and systems, utilizing techniques like Language Models (LLMs) and generative AI. - Collaborate with stakeholders to identify business opportunities and define AI project goals. - Stay updated with advancements in generative AI techniques, such as LLMs, and assess their potential applications in solving enterprise challenges. - Utilize generative AI techniques, like LLMs, to innovate solutions for enterprise industry use cases. - Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, for enhanced generative AI capabilities. - Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. - Utilize vector databases, like Redis, and NoSQL databases for efficient handling of large-scale generative AI datasets. - Implement similarity search algorithms for accurate retrieval of relevant information from generative AI outputs. - Collaborate with domain experts, stakeholders, and clients to tailor generative AI solutions to specific business requirements. - Research and evaluate advanced AI techniques to enhance performance and efficiency. - Establish evaluation metrics to assess the quality and relevance of generative AI outputs for enterprise industry use cases. - Ensure compliance with data privacy, security, and ethical considerations in AI applications. - Utilize data engineering skills for data curation, cleaning, and preprocessing for generative AI applications. Requirements: - Bachelor's or Master's degree in Computer Science, Engineering, or related field (Ph.D. is a plus). - 3-7 years of experience in Data Science and Machine Learning. - In-depth knowledge of machine learning, deep learning, and generative AI techniques. - Proficiency in Python, R, TensorFlow, or PyTorch. - Strong understanding of NLP techniques and frameworks like BERT, GPT, or Transformer models. - Experience with cloud platforms such as Azure, AWS, or GCP. - Expertise in data engineering, trusted AI practices, and collaboration with software engineering teams. - Excellent problem-solving skills and ability to translate business requirements into technical solutions. - Strong communication and interpersonal skills. - Understanding of data privacy, security, and ethical considerations in AI applications. - Track record of innovation and staying updated with AI research. Good to Have Skills: - Apply trusted AI practices for fairness, transparency, and accountability. - Utilize optimization tools like MIP. - Drive DevOps and MLOps practices for continuous integration and deployment. - Implement CI/CD pipelines for streamlined model deployment. - Use tools such as Docker, Kubernetes, and Git for managing AI pipelines. - Apply infrastructure as code principles with tools like Terraform or CloudFormation. - Implement monitoring and logging tools for AI model performance. - Collaborate effectively with software engineering and operations teams.,

As a Verification Engineer at Micron Technology, you will be responsible for: - Verification of Analog and mixed signal circuits. - Generating a Full chip mixed signal simulation environment where analog, digital, and FW co-exist. - Schematic/behavioral model generation of certain blocks to make FC simulation feasible/efficient. - Performing device level electrical rule checks such as SOA, snapback, sfb, etc. - Conducting static and dynamic simulations to identify the leakage paths. - Performing SPF extraction and fanout, coupling checks. - Carrying out power cycling simulations for PL and Brown out events. - Conducting chip level user mode simulations correlating analog subsystems, logic, and FW algorithms. - Reviewing design data sheet and generation of verification plan. Micron Technology is a world leader in innovating memory and storage solutions with a vision to transform how the world uses information to enrich life for all. With a relentless focus on customers, technology leadership, and operational excellence, Micron delivers high-performance DRAM, NAND, and NOR memory and storage products through Micron and Crucial brands. The innovations created by Micron's people fuel the data economy, enabling advances in artificial intelligence and 5G applications. If you are interested in joining our team and contributing to the transformation of information into intelligence, visit micron.com/careers for more information. Micron Technology prohibits the use of child labor and complies with all applicable laws, rules, regulations, and international labor standards.,

As an Operations Research Scientist / Optimization Specialist, your role involves designing, developing, and implementing advanced optimization models and scheduling algorithms to address complex operational challenges. You will collaborate closely with cross-functional teams to convert business problems into mathematical models, utilizing your expertise in Mixed Integer Linear Programming (MILP), production network design, and data analytics. Proficiency in Python and practical experience with optimization solvers are crucial for this role. Key Responsibilities: - Design and develop optimization models (e.g., MILP, LP, heuristics) for supply chain, manufacturing, logistics, or resource allocation problems. - Implement advanced scheduling algorithms to enhance operational efficiency and service levels. - Translate real-world business challenges into mathematical models and offer actionable insights. - Utilize Python and optimization libraries (e.g., Gurobi, CPLEX, Pyomo, PuLP) to create, test, and deploy scalable solutions. - Analyze large datasets to identify trends and validate model assumptions. - Collaborate with data scientists, engineers, and business stakeholders to integrate optimization models into decision-support systems. - Continuously assess and improve model performance based on feedback and operational outcomes. - Document model design, assumptions, validation processes, and results clearly and effectively. Qualifications Required: - Bachelor's or Master's degree in Operations Research, Industrial Engineering, Computer Science, or a related field. - Strong proficiency in mathematical modeling, optimization techniques, and algorithm development. - Hands-on experience with programming languages such as Python and familiarity with optimization solvers like Gurobi, CPLEX, or Pyomo. - Excellent analytical skills and the ability to work effectively in cross-functional teams. - Good communication skills to convey complex technical concepts to non-technical stakeholders. Please note that the company details were not included in the provided job description.,

Role Overview: You will be part of the BSM product line within the Motor Drive products group at ASC. Your primary focus will be on R&D and product development for BSM products at TI. Your work will involve research and development in areas such as Precise Signal, Intelligent Control, and Power transfer. The team tackles challenges related to innovative circuit and architecture techniques, high efficiency circuit architectures, precise signal chain solutions, intelligent algorithm development, protection circuits, and rugged designs. You will play a key role in driving process/technology/package development for cost and performance optimization. The available positions in this group are to work on the Isolation family of products. Key Responsibilities: - Develop circuit architecture for the chip based on datasheet/system specifications. - Create chip schematics, engage in design and verification processes. - Develop individual block design specifications aligned with the full chip circuit architecture. - Take ownership of design and layout activities, including technical mentoring, schedule planning, and tracking. - Collaborate with cross-functional teams to define and model components, automation processes. - Support bench and ATE test with test plan, schematic, and layout verification. - Assist in silicon debug, characterization, and qual support. Qualifications Required: - Bachelor's/Master's Degree in EE. - 5+ years of experience in Analog circuits & architecture design. - Strong Electrical engineering fundamentals & basic analog building blocks. - Experience in design of Analog & Power Management Circuits. - Experience in leading full block/chip activities like circuit block spec definition, top-level simulations, design verification, and design for test. - Good mentoring, communication, presentation skills, and teamwork. - Preferred: Experience in defining circuit architecture for PMIC, Signal Chain &/or Analog Circuits. - Preferred: Ability to execute complex analog, power & mixed signal designs from concept to PG. - Preferred: Experience in silicon debug and characterization.,

As an Analog Design Engineer, your role involves designing analog blocks or systems from specification definition to production support. Your responsibilities include: - Designing and optimizing analog blocks or systems through detailed transistor-level design, simulation, and optimization - Verifying designs and providing technical documentation, as well as supervising layout - Conducting silicon lab evaluation, characterization, and debug - Modeling analog blocks or systems - Providing technical support to test, product, and application engineers - Collaborating with digital, firmware, verification, layout, and cross-functional teams To excel in this role, you are required to meet the following qualifications: - Possess 3+ years of experience in analog CMOS integrated circuit design - Hold an M.S. in EE or higher - Demonstrate strong analytical, synthesis, and problem-solving skills - Have a solid understanding and experience in designing transistor-level CMOS analog blocks and systems, including various blocks like ADCs, DACs, sensor interfaces, power management, amplifiers, and more - Exhibit a strong knowledge of analog concepts, techniques, and trade-offs such as speed, power, noise, mismatch, linearity, stability, and area - Be proficient in IC design CAD tools, schematic entry, Spice, mixed-mode simulation tools, and lab instruments - Be independent, self-motivated, rigorous, a team player, and possess excellent verbal and written communication skills Desired qualifications for this role include: - Knowledge of system-level aspects like signal processing, digital, modeling, test, and application - Experience with mixed-signal circuits, high-resolution & low-power analog design, Cadence Virtuoso, Spectre/AFS, Matlab, Verilog/VHDL, and more - Proficiency in analog/mixed-signal behavioral model development/verification - Experience with consumer and/or ITA market circuit developments,

You will be responsible for supporting developers in creating generative AI and AI-driven hardware applications. This will involve engaging with the community and developing resources to onboard developers onto Qualcomm platforms used in various industries like mobile, laptops, mixed-reality, robotics, and industrial IoT. Collaboration with product, engineering, and regional sales teams will be essential to drive awareness and engagement for Qualcomm platforms. - Build end-to-end applications in areas such as Computer Vision, Audio, LVM, LLM using AI/ML tools on Linux/Windows for CPU, GPU, and AI accelerators. - Develop AI models and integrate them into different applications. - Develop plans to engage with external developers in IoT, Automotive, and the Microsoft device ecosystem. - Collaborate across software and hardware engineering teams. - Understand ML model design trends and contribute new features to the Qualcomm AI toolkit. - Interface with 3rd party developers to create easy-to-use sample applications and documentation for Windows on Snapdragon. Minimum Qualifications: - Bachelor's or advanced degree in computer science, artificial intelligence, or a related field. - 6+ years of Software Engineering, Systems Engineering, or related work experience. Preferred Qualifications: - In-depth knowledge of AI frameworks like TensorFlow, PyTorch, GPU programming, and parallel computing. - Proficiency in AI software stack, AI performance tuning techniques, and development of AI applications on Windows. - Experience with training and deployment of models on servers and client Windows compute platforms. - Strong programming skills in Python, C++. - Excellent communication and leadership abilities. - Proficient in problem-solving, analytical thinking, and adaptation to a fast-changing environment. - Familiarity with software development methodologies, version control systems, and agile project management practices. - 12+ years of experience in application development with a focus on High-Performance Computing and 5+ years in AI application development on Windows.,

In your role as an Emerging Tech Specialist, you will be part of Applied Research centers focusing on applying scientific and technical research to solve practical problems and develop new products or processes in a specific industry or field. Your responsibilities will include conducting research, analyzing data, and developing solutions that can be implemented in real-world settings. You will define the research agenda, collaborate with academia and partners, and build tech playbooks for product and implementation teams. Key Responsibilities: - Research emerging tech trends, ecosystem of players, use cases, and their impact on client businesses - Scan, curate startups, universities, and tech partnerships for creating an innovation ecosystem - Design and develop PoCs in emerging tech areas - Share design specifications, integrate components, and test solutions - Develop showcases demonstrating the application of emerging technologies in a business context - Contribute towards patents, publications, whitepapers, and blogs in relevant emerging tech areas - Contribute to high-level design, development, testing, and implementation of proof of concepts - Understand technical requirements, define detailed design, and develop reusable components - Mentor the team, participate in demo sessions, and work with startups to provide innovative solutions Technical Requirements: - Advanced AI, SLM Inference, Synthetic Data, Agentic AI, ANI - New Interaction Models, Spatial computing, Mixed Reality, 3D visualizations - Platforms and Protocols for Performance, Uptime, Scalability, Efficiency, Data Interoperability - Cybersecurity, Ethical hacking, Threat Management, Cyber Resilience - Quantum AI Stack, Autonomous Machines, Emerging Research Brain AGI Additional Responsibilities: In terms of technical competencies, you are required to have advanced theoretical knowledge in a specific domain, expertise in experimental design and methodology, data analysis skills, prototype development capabilities, and proficiency in research tools. Moreover, possessing soft skills such as collaborative mindset, communication skills, problem-solving approach, intellectual curiosity, and commercial awareness are essential for this role. Preferred Skills: - User Experience Design: Interaction design - Cybersecurity Competency Management: Cyber Competency Strategy Planning - Artificial Intelligence: Artificial Intelligence - ALL, Computer Vision - Machine Learning: Generative AI - Robotics - Algorithms: Forward/Inverse Kinematics - X Reality (XR): Augmented Reality, Virtual Reality,

Role Overview: You will be joining OutcomesAI, a healthcare technology company focused on building an AI-enabled nursing platform to enhance clinical teams, automate workflows, and increase nursing capacity. The company's core product suite includes Glia Voice Agents, Glia Productivity Agents, and AI-Enabled Nursing Services. Your role will involve contributing to the training, evaluation, and integration of speech models into OutcomesAI's voice intelligence stack, working closely with the Tech Lead to develop datasets, fine-tune models, and benchmark performance across various domains such as RPM and Triage. Key Responsibilities: - Prepare and maintain synthetic and real training datasets for STT/TTS/Speech LLM model training - Build evaluation frameworks for clinical applications such as RPM and Triage - Develop scripts for data selection, augmentation, and corpus curation - Fine-tune models using CTC/RNN-T or adapter-based recipes on multi-GPU systems - Implement evaluation pipelines to measure WER, entity F1, and latency; automate MLflow logging - Experiment with bias-aware training and context list conditioning - Collaborate with backend and DevOps teams to integrate trained models into inference stacks - Support the creation of context biasing APIs and LM rescoring paths - Assist in maintaining benchmarks versus commercial baselines Qualifications: - B.Tech / M.Tech / M.S. in Computer Science, AI, or related field - 4-7 years of experience in applied ML with 2 years focused on speech recognition or synthesis - Experience with model deployment workflows preferred Additional Details: OutcomesAI leverages an AI infrastructure that incorporates speech recognition, natural language understanding, and text-to-speech fine-tuned for healthcare environments within a HIPAA-compliant and SOC 2-certified framework. The company partners with leading health systems and virtual care organizations to deploy and validate AI capabilities at scale, aiming to create the world's first AI + nurse hybrid workforce. OutcomesAI values collaborative mindset for cross-functional work and uses AI tools to support parts of the hiring process while final decisions are made by humans. Role Overview: You will be joining OutcomesAI, a healthcare technology company focused on building an AI-enabled nursing platform to enhance clinical teams, automate workflows, and increase nursing capacity. The company's core product suite includes Glia Voice Agents, Glia Productivity Agents, and AI-Enabled Nursing Services. Your role will involve contributing to the training, evaluation, and integration of speech models into OutcomesAI's voice intelligence stack, working closely with the Tech Lead to develop datasets, fine-tune models, and benchmark performance across various domains such as RPM and Triage. Key Responsibilities: - Prepare and maintain synthetic and real training datasets for STT/TTS/Speech LLM model training - Build evaluation frameworks for clinical applications such as RPM and Triage - Develop scripts for data selection, augmentation, and corpus curation - Fine-tune models using CTC/RNN-T or adapter-based recipes on multi-GPU systems - Implement evaluation pipelines to measure WER, entity F1, and latency; automate MLflow logging - Experiment with bias-aware training and context list conditioning - Collaborate with backend and DevOps teams to integrate trained models into inference stacks - Support the creation of context biasing APIs and LM rescoring paths - Assist in maintaining benchmarks versus commercial baselines Qualifications: - B.Tech / M.Tech / M.S. in Computer Science, AI, or related field - 4-7 years of experience in applied ML with 2 years focused on speech recognition or synthesis - Experience with model deployment workflows preferred Additional Details: OutcomesAI leverages an AI infrastructure that incorporates speech recognition, natural language understanding, and text-to-speech fine-tuned for healthcare environments within a HIPAA-compliant and SOC 2-certified framework. The company partners with leading health systems and virtual care organizations to deploy and validate AI capabilities at scale, aiming to create the world's first AI + nurse hybrid workforce. OutcomesAI values collaborative mindset for cross-functional work and uses AI tools to support parts of the hiring process while final decisions are made by humans.

As an Electronic Hardware Design Engineer at our company, your role will involve the following responsibilities: - Designing electronic circuits and sub-systems for PLC and LED/LCD based hardware, including power supplies and analog, digital, and mixed signal circuits. - Designing peripheral interfaces for microprocessors and microcontrollers. - Participating in establishing design requirements and specifications, implementing test set ups, and performing design verification testing. - Performing debugging and troubleshooting to identify design and test set up issues. - Collaborating with external and internal customers, such as Product Management, Operations, and other engineering teams throughout the product development life cycle. - Assisting Lead Engineers and counterparts in design reviews. - Planning and executing tasks in collaboration with the product team to ensure project objectives are met. - Performing tasks per team processes and guidelines and providing recommendations for continuous process improvement. - Proposing and providing innovative, competitive technical solutions that can make a significant business impact and provide value to stakeholders. Working directly with stakeholders, engineering, and test to create high-quality products that solve customer problems. - Suggesting and developing re-usable hardware components and looking for continuous improvement opportunities in our company's motor operations and controls portfolio. - Sharing knowledge within the team and demonstrating flexibility working in parallel on multiple assignments/product categories. - Providing timely status updates and reports to stakeholders. Qualifications: - Bachelors in Electronics/ E&TC/ Instrumentation engineering - Experience: 4+ Years Skills Required: - Experience in designing analog, digital, and mixed signals circuits and sound knowledge of electronics components (Active, Passive & custom parts) & their applications. - Experience in designing circuits involving high-speed micro-controllers, microprocessors, and peripherals-based designs. - Experience in board level testing, troubleshooting, and debugging issues in hardware design. - Knowledge and hands-on experience on design considerations required to comply with EMI / EMC certification and environmental compliances UL /IEC / RoHS / REACH etc. - Sound experience on simulation tools like PSpice, LTSpice, Model Sim, etc. - Experience with printed circuit board layout design involving tools like Mentor & Altium. - Knowledge of different communication buses and interfaces used in embedded HW design. Ex ( Serial, Ethernet, CAN etc.) - Experience with Thermal management and Thermal conditions calculation (Power dissipation, Heatsink, etc.) - Excellent verbal and written communication skills. - Preferred knowledge on designing production testers and simulators.,

You will be responsible for overall development of the target Architecture by defining the technology roadmap for your own business/domain. As a subject matter expert in a specific domain, you will provide expert advice and guidance to various business stakeholders. - Develop architectural applications for new deals/major change requests in existing deals - Create enterprise-wide business/domain architecture deliverables focused on the target audience's issues and opportunities - Look for opportunities to use high-level business and operating models combined with business, people, information, technology, and solutions - Contribute to the Target Architecture by developing and maintaining the technology roadmap for your area of expertise - Work with other IS and business stakeholders to drive the development and adoption of the target architecture for your domain - Establish domain-specific standards, strategy, and roadmaps in adherence to Enterprise standards - Guide a solution from concept to delivery, ensuring feasibility of design and implementation - Apply architectural and engineering concepts to design solutions meeting operational requirements - Participate and lead research and development efforts when introducing new technologies - Provide technology consulting to solution architects, junior staff members, and others using domain technologies - Define high-level migration plans to address gaps between current and future state - Collaborate with sales and delivery teams to identify future needs and requirements - Create Intellectual Property in forms of services, patterns, and models - Bring knowledge of automation in application by embracing Agile and dev-ops principles - Analyze technology environment and industry trends to recommend improvements and solutions - Provide technical leadership in the design and implementation of custom solutions Qualifications Required: - Mandatory Skills: AMS - Analog Mixed Signal Pspice - Experience: 8-10 Years (Note: Additional Company Details section has been omitted as it contains information about Wipro Limited, a leading technology services and consulting company focused on building innovative solutions to address clients" most complex digital transformation needs.),

You will define and implement robust mixed-signal verification methodologies. You will conduct thorough verification of Analog Mixed-Signal designs, demonstrating a good understanding of analog concepts and circuits. Utilize industry-standard HVL-based methodologies such as SV/UVM/Verilog for effective verification. You should have experience with Signal Integrity Modeling, including SV Real/Wreal/RNM Modeling and SPICE models. Verify critical components such as multiphase regulator, LDO, Switching regulators, Filters, ADCs, DACs, and Power circuitry. It would be beneficial to have an understanding of PLL, LDO, charge pumps, and any other analog IP's. Experience in DRAM, SRAM, other memory-related fields, or custom design would be advantageous. Exposure to Low Power and mode transition verification techniques is desirable. You will simulate, analyze, and debug pre-silicon block level IPs and full chip designs. Develop test cases/stimulus to increase functional coverage. - Lead the recruitment process for the AMS team, attracting top talent to support business growth. - Manage and mentor an AMS team, starting with 10+ engineers with the goal of expanding to 50+ engineers. - Implement skill upgrading and training programs for the AMS team to enhance their technical and professional development. - Develop an in-house training program to cultivate and nurture new talent. - Strong experience in mixed-signal verification methodologies. - Proficiency in SV/UVM/Verilog for verification. - Knowledge of analog concepts, circuits, and Signal Integrity Modeling. - Experience with multiphase regulator, LDO, Switching regulators, Filters, ADCs, DACs, and Power circuitry verification. - Understanding of PLL, LDO, charge pumps, and analog IP's is a plus. - Familiarity with Low Power and mode transition verification techniques.,

As the Head of Data and Analytics at Colgate-Palmolive, your role is crucial in leading and driving transformation and excellence within the organization to become the best-in-class FMCG organization in the field of data analytics. You will have the opportunity to shape the organization's data-driven culture, foster a data-driven mindset, and identify new opportunities for leveraging technology and data to gain a competitive advantage in the market. **Key Responsibilities:** - Establish and execute a comprehensive data analytics and business intelligence strategy - Design an agile roadmap of initiatives to achieve organizational goals towards digitalization of processes - Drive the development and implementation of innovative data analytics solutions, predictive models, and reporting frameworks - Deliver high-quality business value-focused products like Market Mix Modelling (MMM), Revenue Growth Management (RGM), and Sales Suggested Order - Manage relationships with internal IT teams to ensure implementation and commercialization of tools and ideas - Continually expand knowledge and learning throughout the organization to become a stronger digital and analytics-powered organization - Lead a team of Data Analysts and Data Scientists, setting goals, conducting reviews, and fostering growth and development - Act as a bridge between business functions and the analytics team, effectively communicating and aligning business objectives with data-driven decision-making capabilities - Utilize strong technical skills with a robust understanding of GCP, neural networks, forecasting, segmentation, and regression - Lead critical projects and build high-performing teams in an agile environment **Qualifications Required:** - 8+ years of mixed experience in Data and Analytics (sales, marketing, or business) - Experience in a multinational corporation, preferably in the FMCG industry - Strong technical skills with a robust understanding of GCP, neural networks, forecasting, segmentation, regression, etc. - Deep experience in leading critical projects and building high-performing teams in an agile environment Colgate-Palmolive is committed to fostering an inclusive environment where everyone feels a true sense of belonging. The company values developing strong talent with diverse backgrounds and perspectives to best serve consumers globally. As an Equal Opportunity Employer, Colgate-Palmolive is dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered to contribute meaningfully to the business.,

As an AMS Verification Engineer, you will play a crucial role in verifying Analog Mixed Signal (AMS) designs. Your role overview includes developing and executing verification plans, creating testbenches, maintaining real number models, collaborating with design teams, and verifying IP/chip functionality. Your daily tasks will involve working with RNM modeling, Cadence AMS/DMS flow, SystemVerilog, Verilog-AMS, UVM, and basic scripting/automation. Strong communication and documentation skills are essential for this role. Key Responsibilities: - Develop and execute verification plans for AMS designs. - Create and automate testbenches for AMS verification. - Build and maintain SystemVerilog real number models. - Collaborate with analog and digital design teams to ensure designs meet specifications. - Verify AMS/DMS IP/chip functionality. Qualifications Required: - More than 5 years of experience in AMS verification. - Hands-on RNM modeling exposure. - Proficiency with Cadence AMS/DMS flow. - Strong RNM modeling skills. - Experience with SystemVerilog and Verilog-AMS. - Knowledge of analog and mixed-signal design principles. - Experience with UVM. - Ability to debug AMS modeling issues. - Experience with basic scripting/automation. - Good communication and documentation skills. If you have the above qualifications and are excited to contribute to a dynamic team, we look forward to hearing from you.,