Role – AIML Data Scientist Location : Coimbatore Mode of Interview - In Person Job Description: 1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem b. Improve Model accuracy to deliver greater business impact c. Estimate business impact due to deployment of model 2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge 3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch 5. Experience in using Deep learning models with text, speech, image and video data a. Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc b. Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV c. Knowledge of State of the art Deep learning algorithms 6. Optimize and tune Deep Learnings model for best possible accuracy 7. Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau 8. Work with application teams, in deploying models on cloud as a service or on-prem a. Deployment of models in Test / Control framework for tracking b. Build CI/CD pipelines for ML model deployment 9. Integrating AI&ML models with other applications using REST APIs and other connector technologies 10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Technology/Subject Matter Expertise Sufficient expertise in machine learning, mathematical and statistical sciences Use of versioning & Collaborative tools like Git / Github Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming Develop prototype level ideas into a solution that can scale to industrial grade strength Ability to quantify & estimate the impact of ML models Softskills Profile Curiosity to think in fresh and unique ways with the intent of breaking new ground. Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control Ability to think ahead, and anticipate the needs for solving the problem will be important Ability to communicate key messages effectively, and articulate strong opinions in large forums Desirable Experience: Keen contributor to open source communities, and communities like Kaggle Ability to process Huge amount of Data using Pyspark/Hadoop Development & Application of Reinforcement Learning Knowledge of Optimization/Genetic Algorithms Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios Optimize and tune deep learning model for best possible accuracy Understanding of stream data processing, RPA, edge computing, AR/VR etc Appreciation of digital ethics, data privacy will be important Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ The Role AMD is looking for a software engineer who is passionate about expanding AI models on AMD GPUs, and improving the performance of key applications and benchmarks. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology. The Person Strong technical and analytical skills in C++/Python AI development in a Linux environment. Ability to work as part of a team, while also being able to work independently, define goals and scope and lead your own development effort. Key Responsibilities Enable and optimize key AI models (LLM, Vision, MultiModal, etc.) on AMD GPUs Optimize AI frameworks like PyTorch, TensorFlow, etc. on AMD GPUs in upstream open-source repositories Collaborate and interact with internal GPU library teams to analyze and optimize training and inference for AI Work with open-source framework maintainers to understand their requirements - and have your code changes integrated upstream Optimize GPU kernels, understand and drive AI operator performance (GEMM, Attention, etc.) with specialized teams Work in a distributed computing setting to optimize for both scale-up (multi-GPU) and scale-out (multi-node) systems Apply your knowledge of software engineering best practices Preferred Experience Knowledge of GPU computing (HIP, CUDA, OpenCL) AI model experience or knowledge - Natural Language Processing, Vision, Audio, Recommendation systems Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design. Experiences to run workloads on large scale heterogeneous cluster is a plus Experiences to optimize GPU kernels for performance is a plus Academic Credentials Masters or PhD or equivalent experience in Computer Science, Computer Engineering, or related field Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. Show more Show less

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ SOFTWARE SYSTEM DESIGNER 2 The Role This is an exciting role in which you will have excellent exposure to all the latest AMD (Advanced Micro Devices) technologies. Imagine yourself as part of the team which will deliver our next generation of our products or automation for many of our reference solutions. This is a phenomenal opportunity to work in an outstanding company like AMD. The Person You are a self-starter who is able to achieve successful outcomes in a non-hierarchical environment. Detailed oriented, you have the ability to multitask through planning/organizing. You have excellent communication and presentation skills and a passion to push the limits of software on innovative platforms. Key Responsibilities Performance analysis and software optimization Build and deploy software for the most advanced HPC (High Performance Compute), data science, Virtualization, and machine learning platforms in the world Define/develop/execute regression test models and track the results Drive innovation in production software environments Combine advanced software engineering skills with a drive to explore novel approaches to solve important problems in heterogeneous computing at the large scales Evaluate and review of existing processes and continuously strive to optimize the workflow PREFERRED EXPERIENCE: (3 to 15 years) Good understanding of test lifecycle, QA process & terminology. Strong knowledge of Device drivers, graphics, multimedia, Codec. Test Execution Experience in an automation lab with multiple systems. Define, develop, execute functional/performance/load tests, and integrate them with automated test systems. Establishing and sharing best practices, designing, and executing a robust test strategy. Proficiency in at least one programming language preferably Python. Strong understanding & Hands-on exp. with Linux OS internals, device manager. Hands-on issue debugging skills, issue isolation with Linux kernel, driver module level. Strong understanding of PC hardware, SoC, Chipsets, Graphics cards, BIOS & VBIOS. Understanding of parallel programming, ideally OpenCL, ROCm, CUDA, and OpenACC is a plus. Understanding machine learning, artificial intelligence, computer vision technologies is a plus. Strong analysis, problem-solving & interpersonal skills. Good verbal & written communication skill is a must. Good attitude, result-driven & ability to deliver on next-gen technology. Academic Credentials Bachelors or Masters degree in Electrical Engineering, Mathematics, Computer Science, Engineering, or an equivalent Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. Show more Show less

Role – AIML Data Scientist Location : Coimbatore Mode of Interview - In Person Job Description Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch Experience in using Deep learning models with text, speech, image and video data Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV Knowledge of State of the art Deep learning algorithms Optimize and tune Deep Learnings model for best possible accuracy Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau Work with application teams, in deploying models on cloud as a service or on-prem Deployment of models in Test / Control framework for tracking Build CI/CD pipelines for ML model deployment Integrating AI&ML models with other applications using REST APIs and other connector technologies Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Technology/Subject Matter Expertise Sufficient expertise in machine learning, mathematical and statistical sciences Use of versioning & Collaborative tools like Git / Github Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming Develop prototype level ideas into a solution that can scale to industrial grade strength Ability to quantify & estimate the impact of ML models Softskills Profile Curiosity to think in fresh and unique ways with the intent of breaking new ground. Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control Ability to think ahead, and anticipate the needs for solving the problem will be important Ability to communicate key messages effectively, and articulate strong opinions in large forums Desirable Experience: Keen contributor to open source communities, and communities like Kaggle Ability to process Huge amount of Data using Pyspark/Hadoop Development & Application of Reinforcement Learning Knowledge of Optimization/Genetic Algorithms Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios Optimize and tune deep learning model for best possible accuracy Understanding of stream data processing, RPA, edge computing, AR/VR etc Appreciation of digital ethics, data privacy will be important Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus Show more Show less

Introduction IBM Research is the innovation and growth engine of the IBM corporation. It is the largest industrial research organization in the world with 12 labs on 6 continents. IBM Research produces more breakthroughs–more than 9 patents are produced every day–than any other organization in the world. IBM employs over 3200 researchers worldwide. IBM Research India (IRL) is the leading industrial research lab in India, shaping the future of computing across AI, Hybrid Cloud and Quantum Computing. IRL has a long legacy of ground-breaking innovation in the areas of computer science and its applications to a wide variety of disciplines and offerings for IBM. IRL researchers are working on projects that are pushing the state of the art across Foundation Models, optimized runtime stacks for FM workloads such as tuning, large scale data engineering and pre-training, multi-accelerator model optimization, agentic workflows and modalities across language, code, time series, IT automation and geospatial. We are strong proponents of open-source community-driven software and model development, and our work spans a wide spectrum from research collaborations with academia to developing enterprise-grade commercial software. Your Role And Responsibilities Research Engineer position at IBM India Research Lab is a challenging, dynamic and highly innovative role. Some of our current areas of work where we are actively looking for top talent are: Optimized runtime stacks for foundation model workloads including fine-tuning, inference serving and large-scale data engineering, with a focus on multi-stage tuning including reinforcement learning, inference-time compute, and data preparation needs for complex AI systems. Optimizing models to run on multiple accelerators including IBM’s AIU accelerator leveraging compiler optimizations, specialized kernels, libraries and tools. Developing use cases that effectively leverage the infrastructure and models to deliver value Pre-training language and multi-modal foundation models working with large scale distributed training procedures, model alignment, creating specialized pipelines for various tasks including effective LLM-generated data pipelines, creating frameworks for collecting human data and deploying models in user-centric platforms. Preferred Education Master's Degree Required Technical And Professional Expertise You should have one or more of the following: A master’s degree in computer science, AI or related fields from a top institution 0-8 years of experience working with modern ML techniques including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, inference optimizations Experience with big data platforms like Ray and Spark Experience working with Pytorch FSDP and HuggingFace libraries Programming experience in one of the following: Python, web development technologies Growth mindset and a pragmatic attitude Preferred Technical And Professional Experience Peer-reviewed research at top machine learning or systems conferences Experience working with pytorch.compile, CUDA, triton kernels, GPU scheduling, memory management Experience working with open-source communities Show more Show less

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips- the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world- like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of"science and engineering to make possible"the next generations of technology, join us to Make Possible® a Better Future. What We Offer Location: Bangalore,IND, Chennai,IND At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. Were committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Youll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers."We empower our team to push the boundaries of what is possible"”while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. Technical Lead - Software About Applied Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future. Our Team Our team is developing a high-performance computing solution for low-latency and high throughput image processing and deep-learning workloads that will enable our Chip Manufacturing process control equipment to offer differentiated value to our customers. Your Opportunity As a technical lead, you will get the opportunity to grow in the field of high-performance computing, complex system design and low-level optimizations for better cost of ownership. Roles and Responsibility As a technical lead, you will be responsible for designing and implementing High performance computing software solutions for our organization. You will work closely with cross-functional teams, including software engineers, product managers, and business stakeholders, to understand requirements and translate them into architectural/software designs that meet business needs. You will be a subject Matter expert to unblock software engineers in the HPC domain. You will be expected to profile systems to understand bottlenecks, optimize workflows and code and processes to improve cost of ownership. Identify and mitigate technical risks and issues throughout the software development lifecycle. Lead the design and implementation of complex software components and systems. Ensure that software systems are scalable, reliable, and maintainable. Mentor and coach junior software engineers. Your primary focus will be on implementing features of high quality with maintainable and extendable code following software development best practices Our Ideal Candidate Someone who has the drive and passion to learn quickly, has the ability to multi-task and switch contexts based on business needs. Qualifications 5 to 10 years of experience in Design and coding in C/C++ preferably in Linux Environment. Very good knowledge of Data structures, Algorithms and Complexity analysis. In depth experience in Multi-threading, Thread Synchronization, Inter process communication, and Distributed computing fundamentals. Very Good knowledge of Operating systems internals (Linux Preferred), Networking and Storage systems. Experience in performance profiling at application and system level (e.g. vtune, Oprofiler, perf, Nividia Nsight etc.) Experience in low level code optimization techniques using Vectorization and Intrinsics, cache-aware programming, lock free data structures etc. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Ability to mentor and coach junior team members. Experience in Agile development methodologies. Additional Qualifications: Experience in GPU programming using CUDA, OpenMP, OpenACC, OpenCL etc. Good Knowledge of Work-flow orchestration Software like Apache Airflow, Apache Spark, Apache storm or Intel TBB flowgraph etc. Experience in developing Distributed High Performance Computing software using Parallel programming frameworks like MPI, UCX etc. Experience in HPC Job-Scheduling and Cluster Management Software (SLURM, Torque, LSF etc.) Good knowledge of Low-latency and high-throughput data transfer technologies (RDMA, RoCE, InfiniBand) Familiarity with microservices architecture and containerization technologies (docker/singularity) and low latency Message queues. Education : Bachelors Degree or higher in Computer science or related Disciplines. Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities. Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 10% of the Time Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

About Toyota Connected If you want to change the way the world works, transform the automotive industry and positively impact others on a global scale, then Toyota Connected is the right place for you! Within our collaborative, fast-paced environment we focus on continual improvement and work in a highly iterative way to deliver exceptional value in the form of connected products and services that wow and delight our customers and the world around us. About the Team Toyota Connected India is looking for an experienced Lead Generative AI Engineer with Computer Vision Expertise to drive the development of cutting-edge AI-powered applications for Software-Defined Vehicles (SDVs). In this role, you will lead a team of engineers and researchers in building real-time perception, autonomous decision-making, and interactive AI systems that enhance in-vehicle intelligence, driver assistance, and passenger experiences. This is an exciting opportunity to work at the intersection of Generative AI, Computer Vision, and Automotive Technology, shaping the future of mobility with AI-driven capabilities. What you will do Technical Leadership : Lead the design, development, and deployment of Generative AI and Computer Vision models for SDV applications, including driver monitoring, object detection, autonomous navigation, and in-vehicle user experience. Team Management : Mentor and guide a team of AI engineers, fostering a culture of innovation, collaboration, and technical excellence. AI Model Development : Architect and train deep learning models for real-time perception, scene understanding, and multimodal AI applications (vision, NLP, speech). Integration with SDVs : Work closely with ADAS (Advanced Driver Assistance Systems), IoT, and embedded software teams to integrate AI-powered solutions into vehicle architectures. Real-Time Edge AI Deployment : Optimize AI models for real-time processing on automotive-grade edge hardware (NVIDIA, Qualcomm Snapdragon or similar). Multimodal AI Systems : Develop AI-powered human-vehicle interaction systems, including Drive Monitoring, and predictive user interfaces . Research & Innovation : Stay ahead of the latest advancements in AI/ML, diffusion models, and self-supervised learning to push the boundaries of automotive AI applications. Collaboration & Partnerships : Work with OEMs, Tier 1 suppliers, and research institutions to align AI innovations with industry needs. You are a successful candidate if you have Education : Master’s or Ph.D. in Computer Science, AI, Machine Learning, Computer Vision, or a related field. Experience : 10+ years of experience in Computer Vision, Deep Learning, or Generative AI. 5+ years of experience leading AI engineering teams. Proven track record of developing and deploying AI models in real-world applications (preferably automotive or robotics). Technical Skills: Strong expertise in Deep Learning frameworks (TensorFlow, PyTorch, JAX). Experience with Generative AI models (Stable Diffusion, GANs, NeRFs, or similar). Proficiency in 3D Computer Vision (SLAM, depth estimation, sensor fusion). Experience with transformer-based architectures, and multimodal AI. Hands-on experience with embedded AI/Edge ML (NVIDIA Jetson, Qualcomm AI SDKs, TensorRT, OpenVINO). Strong programming skills in Python, C++, CUDA, and ROS . Experience with automotive data formats (CAN, ROS, OpenDRIVE, ASAM OpenSCENARIO). Industry Knowledge : Understanding of ADAS, autonomous driving, digital twins, and SDV architectures. Preferred Qualifications: Experience in AI-driven Digital Cockpit and next-gen HMI (Human-Machine Interface) applications. Familiarity with 3D synthetic data generation for training AI models. Strong understanding of real-time sensor fusion (LIDAR, CAN, DMS, IMU). Experience working with Automotive OEMs and Tier 1 suppliers . Experience with cloud-based AI training and edge-to-cloud inference architectures. What is in it for you? Top of the line compensation! You'll be treated like the professional we know you are and left to manage your own time and workload. Yearly gym membership reimbursement & Free catered lunches. No dress code! We trust you are responsible enough to choose what’s appropriate to wear for the day. Opportunity to build products that improves the safety and convenience of millions of customers Cool office space and other awesome benefits! Our Core Values: EPIC Empathetic : We begin making decisions by looking at the world from the perspective of our customers, teammates, and partners. Passionate: We are here to build something great, not just for the money. We are always looking to improve the experience of our millions of customers Innovative : We experiment with ideas to get to the best solution. Any constraint is a challenge, and we love looking for creative ways to solve them. Collaborative: When it comes to people, we think the whole is greater than its parts and that everyone has a role to play in the success! To know more about us ,check out our glassdoor page-https://www.glassdoor.co.in/Reviews/TOYOTA-Connected-Corporation-Reviews-E3305334.htm Show more Show less

Job Description Vice President, Data Management & Quantitative Analysis I At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what is all about. We’re seeking a future team member for the role of Vice President I to join our Data Management & Quantitative Analysis team. This role is located in Pune, MH or Chennai, TN (Hybrid). In this role, you’ll make an impact in the following ways: BNY Data Analytics Reporting and Transformation (“DART”) has grown rapidly and today it represents a highly motivated and engaged team of skilled professionals with expertise in financial industry practices, reporting, analytics, and regulation. The team works closely with various groups across BNY to support the firm’s Capital Adequacy, Counterparty Credit as well as Enterprise Risk modelling and data analytics; alongside support for the annual Comprehensive Capital Analysis and Review (CCAR) Stress Test. The Counterparty Credit Risk Data Analytics Team within DART designs and develops data-driven solutions aimed at strengthening the control framework around our risk metrics and reporting. For the Counterparty Credit Risk Data Analytics Team, we are looking for a Counterparty Risk Analytics Developer to support our Counterparty Credit Risk control framework. Develop analytical tools using SQL & Python to drive business insights Utilize outlier detection methodologies to identify data anomalies in the financial risk space, ensuring proactive risk management Analyze business requirements and translate them into practical solutions, developing data-driven controls to mitigate potential risks Plan and execute projects from concept to final implementation, demonstrating strong project management skills Present solutions to senior stakeholders, effectively communicating technical concepts and results Collaborate with internal and external auditors and regulators to ensure compliance with prescribed standards, maintaining the highest level of integrity and transparency. To be successful in this role, we’re seeking the following: A Bachelor's degree in Engineering, Computer Science, Data Science, or a related discipline (Master's degree preferred) At least 3 years of experience in a similar role or in Python development/data analytics Strong proficiency in Python (including data analytics, data visualization libraries) and SQL, basic knowledge of HTML and Flask. Ability to partner with technology and other stakeholders to ensure effective functional requirements, design, construction, and testing Knowledge of financial risk concepts and financial markets is strongly preferred Familiarity with outlier detection techniques (including Autoencoder method, random forest, etc.), clustering (k-means, etc.), and time series analysis (ARIMA, EWMA, GARCH, etc.) is a plus. Practical experience working with Python (Pandas, NumPy, Matplolib, Plotly, Dash, Scikit-learn, TensorFlow, Torch, Dask, Cuda) Intermediate SQL skills (including querying data, joins, table creation, and basic performance optimization techniques) Knowledge of financial risk concepts and financial markets Knowledge of outlier detection techniques, clustering, and time series analysis Strong project management skills Show more Show less

At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what is all about. We’re seeking a future team member for the role of Vice President I to join our Data Management & Quantitative Analysis team. This role is located in Pune, MH or Chennai, TN (Hybrid). In this role, you’ll make an impact in the following ways: BNY Data Analytics Reporting and Transformation (“DART”) has grown rapidly and today it represents a highly motivated and engaged team of skilled professionals with expertise in financial industry practices, reporting, analytics, and regulation. The team works closely with various groups across BNY to support the firm’s Capital Adequacy, Counterparty Credit as well as Enterprise Risk modelling and data analytics; alongside support for the annual Comprehensive Capital Analysis and Review (CCAR) Stress Test. The Counterparty Credit Risk Data Analytics Team within DART designs and develops data-driven solutions aimed at strengthening the control framework around our risk metrics and reporting. For the Counterparty Credit Risk Data Analytics Team, we are looking for a Counterparty Risk Analytics Developer to support our Counterparty Credit Risk control framework. Develop analytical tools using SQL & Python to drive business insights Utilize outlier detection methodologies to identify data anomalies in the financial risk space, ensuring proactive risk management Analyze business requirements and translate them into practical solutions, developing data-driven controls to mitigate potential risks Plan and execute projects from concept to final implementation, demonstrating strong project management skills Present solutions to senior stakeholders, effectively communicating technical concepts and results Collaborate with internal and external auditors and regulators to ensure compliance with prescribed standards, maintaining the highest level of integrity and transparency. To be successful in this role, we’re seeking the following: A Bachelor's degree in Engineering, Computer Science, Data Science, or a related discipline (Master's degree preferred) At least 3 years of experience in a similar role or in Python development/data analytics Strong proficiency in Python (including data analytics, data visualization libraries) and SQL, basic knowledge of HTML and Flask. Ability to partner with technology and other stakeholders to ensure effective functional requirements, design, construction, and testing Knowledge of financial risk concepts and financial markets is strongly preferred Familiarity with outlier detection techniques (including Autoencoder method, random forest, etc.), clustering (k-means, etc.), and time series analysis (ARIMA, EWMA, GARCH, etc.) is a plus. Practical experience working with Python (Pandas, NumPy, Matplolib, Plotly, Dash, Scikit-learn, TensorFlow, Torch, Dask, Cuda) Intermediate SQL skills (including querying data, joins, table creation, and basic performance optimization techniques) Knowledge of financial risk concepts and financial markets Knowledge of outlier detection techniques, clustering, and time series analysis Strong project management skills Show more Show less

Quidich Innovation Labs is a global company headquartered in Mumbai, India that pioneers in customized technology solutions for Sports Broadcasts. From the outset, we have believed in the power of the story that sport tells as a tool to bring people together; and that this story best reaches fans, through the way it is broadcast. Building on this thinking, we have created various technology tools over the past five years and deployed them at tournaments such as the Indian Premier League, ICC Men’s T20 World Cup, ICC Women’s World Cup, and Men's FIH Hockey World Cup, to name a few. Role As a Software Developer, you will play a pivotal cross-functional role in our product team. Your main responsibility will be to optimize and maintain various components of our platform using C++. You’ll have the opportunity to work on diverse tasks such as: Optimizing back-end systems in C++. Implementing and optimizing computer vision algorithms. Modifying and extending functionalities within video card SDKs. Building and maintaining robust software development pipelines. Collaborating on general software development tasks like code review, testing, and debugging. Continuously learning and solving complex problems. This role is ideal for developers who are eager to grow, tackle complex technical challenges, and thrive in a collaborative environment. Responsibilities Designing, optimizing, and maintaining backend components and modules using C++ Building and optimizing development pipelines to ensure seamless integration and deployment Collaborating with cross-functional teams to implement solutions across various technical domains Working on integrating and optimizing third-party SDKs, including those related to video processing and computer vision Contributing to the full software development lifecycle, including requirement gathering, architecture, testing, and deployment Debugging, troubleshooting, and optimizing performance-critical applications Adhering to best practices in code quality, version control, and software engineering standards Proactively learn new technologies and frameworks to meet project needs Qualifications, Skills, and Competencies Strong proficiency in C++ with a minimum of 3-5 years of professional experience Experience working with backend development, SDKs, or system-level programming. Hands-on experience with building and maintaining software pipelines for CI/CD (Continuous Integration/Continuous Delivery). Familiarity with computer vision algorithms and video processing is a plus. Excellent problem-solving skills with the ability to learn and adapt to new technologies quickly. Solid understanding of general software development practices, including version control (e.g., Git), testing, and debugging. Ability to work both independently and as part of a team in a dynamic environment. Knowledge of other programming languages (e.g., Python, Java) is an advantage. Cuda experience is an advantage. Experience with video card SDKs or computer vision libraries like OpenCV. Familiarity with Agile/Scrum methodologies. Strong communication and collaboration skills. Location: Goa Reporting To : Product Head Joining Date : Immediate to 30 Days Interested candidates, please send your CV to careers@quidich.com Show more Show less

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Looking for “ML framework and AI compiler Engineer” responsible for Designing, implementing, and deploying machine learning models using PyTorch Focusing on backend infrastructure and system architecture. Responsibilities often include developing framework, integrating with other AI tools, and ensuring scalability and reliability. Here's a more detailed breakdown of what you might see in such a job description: Key Responsibilities: Model Development and Deployment: Designing, building, and deploying AI models, particularly those leveraging PyTorch for deep learning. Backend Infrastructure: Developing and maintaining the backend systems that power AI applications, including data ingestion, processing, and storage. System Architecture: Designing scalable and high-performance backend architectures to handle AI workloads. Model Optimization: Optimizing model performance for speed, accuracy, and resource efficiency. Integration: Integrating AI models with other systems and applications. API Development: Creating and maintaining APIs for communication between frontend and backend components. Data Handling: Managing data ingestion, preprocessing, and storage for AI training and inference. Collaboration: Working with data scientists, product managers, and other engineers to bring AI solutions to life. Tools, Technologies, Skills and Programming: C, C++: Strong programming capability using advanced techniques to design and develop AI compilers and backends. Scripting: Strong expertise in Python with design, develop, release and maintain projects. AI Frameworks: Familiarity with other AI frameworks like PyTorch, TensorFlow, Hugging Face, etc. Machine Learning Knowledge: Understanding of machine learning principles and algorithms starting Computer vision to large language models and continuously update to new trends. Expertise to deep learning accelerator programming (GPU, NPU). Any parallel programming experience (Like CUDA, OpenCL, MKLDNN ..etc) is a plus. Experience with deep leaning compilers like Glow, TVM …etc is a plus. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall. Responsibilities [Be specific when describing each of the responsibilities. Use gender-neutral, inclusive language.] Example: Determine and develop user requirements for systems in production, to ensure maximum usability Qualifications [Some qualifications you may want to include are Skills, Education, Experience, or Certifications.] Example: Excellent verbal and written communication skills Job Description/Preferred Qualifications Key Responsibilities: Lead and mentor a team of algorithm engineers, providing guidance and support to ensure their professional growth and success. Develop and maintain the infrastructure required for the deployment and execution of algorithms at scale. Collaborate with data scientists, software engineers, and product managers to design and implement robust and scalable algorithmic solutions. Optimize algorithm performance and resource utilization to meet business objectives. Stay up-to-date with the latest advancements in algorithm engineering and infrastructure technologies, and apply them to improve our systems. Drive continuous improvement in development processes, tools, and methodologies. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in developing computer vision and image processing algorithm and ML/DL algorithm. Familiar with high performance computing, parallel programming and distributed systems. Strong leadership and team management skills, with a track record of successfully leading engineering teams. Proficiency in programming languages such as Python, C++ and CUDA. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Preferred Qualifications: Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with GPU architecture and algo development toolkit like Docker, Apptainer. Minimum Qualifications Bachelor's degree plus 8 + years of experience Master's degree plus 8 + years of experience Familiar with high performance computing, parallel programming and distributed systems. Must-Haves Phd with 6 yrs industry exp or M.Tech + 8 yrs experience or B.tech + 10 yrs experience. Minimum 3 yrs experience working as a Manager (only Lead experience will not qualify). 8 years experience in any of the programming languages such as Python/C++/CUDA. 8 years experience in Machine learning, Artificial intelligence, Deep learning & Computer vision. 5 years exp in Image processing Product Company Experience is a MUST. Candidates from engineering product companies are higher chances of select. Candidates from Tier 1 colleges like (IIT, IIIT, VIT, NIT)(Preferred) No job hoppers(candidate must have good stability- min 2 years in an organisation) No Poach - HCL (current company must not be HCL) Relocation to Chennai is mandatory No Poach Clients (Plus Other Strict No-Nos) HCL Nice To Haves Candidates from Semicon or manufacturing companies Candidates with more than 8 CPGA Target Companies product companies/Semicon or any electrical or HW manufacturing companies. Additional Guidelines Interview Process: 3 Tech rounds, Fitment round, HR round. Relocation Expenses: Available. 3 day working from office. Can source from anywhere ( even international candidates )who are willing to relocate. Skills: cuda,plus,gpu architecture,high performance computing,distributed systems,c++,tensorflow,apptainer,scikit-learn,leadership and team management,parallel programming,machine learning,algorithm development,docker,python,communication,skills,computer vision,image processing,deep learning,pytorch,learning Show more Show less

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. ABOUT THIS JOB Nielsen Global Media uses cutting edge technology and industry leading data science to tackle some of the hardest problems in marketing science. We’re automating our models with artificial intelligence and machine learning to produce the same quality insights as a traditional white-glove consulting engagement at unparalleled speed and scale. Intelligence Studio is a horizontally scalable, cross-cloud technology agnostic platform built with trusted open source components like VS Code, Apache Airflow, Jupyterhub and MLFlow. It allows data scientists to focus on doing data science by taking care of essential concerns like data access, logging, configuration, resource negotiation, dependency management, orchestration, and testing. We’re looking for a Staff Software Engineer to help our talented, cross-functional team improve user workflows in Intelligence Studio. Ideal candidates will be hands-on technologists with experience in Python, Kubernetes, Distributed Systems, AWS or Azure cloud infrastructure. This position is a fantastic opportunity for an experienced engineer to work with creative engineers and cutting-edge technologies. RESPONSIBILITIES Build software and integrations in a cloud-based microservices environment (kubernetes) for big data applications with Spark, Ray, etc. Writing software in python, typescript, go, Java and Scala Work with stakeholders and technical leadership to design and build interfaces, workflows, and services that enhance the delivery of data science products Actively participate in team code reviews and enforce quality standards Work within a cross-functional team to author clear and purposeful epics/stories Promote and enforce best practices in development and operations Identify opportunities and weaknesses in the platform architecture Design and develop data visualization tooling using electron, jupyterhub, plotly, typescript and pandas to enhance data exploration workflows for data science Integrate data science visualization and diagnostic tooling like tensorboard, ray serving, spark history server into an existing distributed compute and development environment Build secure integrations with the kubernetes api allowing the management of user workloads in a shared environment with potentially sensitive data Understand and debug interactions between cloud networking components (ALBs, web api proxies) cluster ingression and security using kong and istio, python-based web servers and modern web transfer protocols like websockets and http3 A LITTLE BIT ABOUT YOU You are an experienced software engineer with a proven track record of quickly learning and implementing new technologies. You love technology and are excited to work on a high-performance team building a very ambitious product. You are looking for an opportunity to grow your career and your technical depth by diving into a project working on the current state of the art in big data and cloud technologies. QUALIFICATIONS Bachelor’s degree in Computer Science or a related technical field, or equivalent industry experience Typescript, Python, Kubernetes, Airflow, Electron, Jupyter, Pandas, Keras, ray, tensorflow, CUDA Apache Spark, Istio, Scala, Java, Go, kong, cloud software design, containerized microservices & distributed caching Experience with machine learning (RNNs, CNNs, random forest, LLMs) a plus Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Show more Show less

We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). To find out more visit www.lenovo.com and read about the latest news via our StoryHub. Position Description Lenovo is seeking an experienced Artificial Intelligence (AI) Solutions Architect who will play a key role in supporting the development and deployment of AI-related service offerings, including Professional and Managed Services. The chosen candidate will be part of Lenovo Solutions Services Group (SSG) as a member of the Center of Excellence team, driving service offering design and definition for our Professional Services, Managed Services, and TruScale Services businesses. This role is primarily internal but includes some customer-facing work. This is a remote-only role. In This Role You Will Support the development and delivery of AI service offerings for enterprise, research, and government customers. Work with leading enterprises, research institutions, and cloud providers to integrate customer and market requirements into AI service offerings and technology roadmaps. Architect full-stack AI infrastructure solutions, including compute, networking, storage, security, and model lifecycle management components, to support AI workloads. Demonstrate expertise in AI and machine learning (ML) technologies, including deep learning frameworks (TensorFlow, PyTorch), data pipelines, model training, inferencing, and MLOps. Leverage experience with on-premises, hybrid, and cloud-based AI environments, optimizing model training and deployment strategies. Work across internal teams, divisions, and external partners to develop and deliver innovative AI solutions that drive business and research advancements. Demonstrate strong written and verbal communication skills, with the ability to present AI solutions to customers, internal stakeholders, and partners. Drive strategic relationships with AI-driven enterprises, research institutions, cloud service providers (CSPs), and technology partners. Act As The Technical Lead For AI-based Infrastructure Solutions, Collaborating With The AI Practice Leader Throughout The Service Offering Lifecycle, Including Assisting in the creation of new AI service offerings, from concept development to implementation guidance. Leading initial implementations alongside Technical Consultants. Deliver Presentations In Support Of Offering development and go-to-market strategies. Field enablement and training initiatives. Service delivery execution. Assist in documentation of project requirements, statements of work, and service descriptions. Collaborate with business partners to enhance AI solution capabilities and integration. Qualifications Bachelor's degree, MBA, or equivalent experience required. 7+ years of experience architecting and deploying AI/ML solutions. Minimum of 5+ years of experience working with at least one cloud platform (AWS, Azure, GCP) or on-premises AI infrastructure. Proven expertise in designing, developing, and delivering large-scale AI/ML platforms and solutions. Experience implementing AI infrastructure architectures with defined scalability, fault tolerance, and security best practices. Strong background in AI system design, ML model development, GPU-accelerated computing, and data engineering. Hands-on experience with automation tools such as Terraform, Ansible, and Kubernetes for AI environments. Certification in AI/ML technologies or cloud-based AI solutions preferred. Preferred Skills Experience developing AI infrastructure strategy and reference architectures for enterprise-scale deployments. Hands-on expertise in AI hardware, software, and cloud-native architectures for deep learning, NLP, and computer vision workloads. Experience designing and implementing highly available, secure, and scalable AI solutions. Strong programming skills (Python, TensorFlow, PyTorch, CUDA) for AI model development and optimization. Deep knowledge of high-performance computing (HPC) for AI workloads, including GPU/TPU architectures. Experience with AI model monitoring, observability, and continuous learning frameworks. Expertise in defining and delivering AI/ML migration, implementation, operations, and optimization initiatives. Industry knowledge in key AI-driven sectors such as healthcare, finance, automotive, and manufacturing. Experience in systems integration and managing direct/channel sales engagements. Strong understanding of AI containerization, workflow management, and cloud-based AI training. Demonstrated ability to present technical AI solutions and recommendations to customers, engineering teams, and leadership. Experience in a customer-facing AI services environment, providing professional and managed services. TOGAF 9 Certified or equivalent architecture framework certification preferred. You will report to SSG (Solutions Services Group) organization structure. SSG has been focusing on the expanding IT service market, especially the digital workplace services opportunity, the growing demand for aaS (as a Service) model, and customers stronger preference for sustainability services. Meanwhile, SSG has continued to invest in software tools, platforms, and repeatable vertical solutions with our own IP, and focus on vertical solutions in manufacturing, retail, healthcare, education, and Smart City. We are expanding TruScale as a Service to include Digital Workplace Solutions, developing our Hybrid Cloud solutions, and exploring Metaverse solutions. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. Show more Show less

Senior Test Development Engineer Hyderabad, India Engineering 65460 Job Description WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ Senior Test Development Engineer THE ROLE: AMD is looking for a specialized software product engineer who is passionate about improving the quality of products and benchmarks . You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology. The right engineer will drive the success of features in AMD (Advanced Micro Devices) products through leadership & coordination, resolution of technical dependencies, and achievement of schedule commits. THE PERSON: The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Your curiosity will drive your learning and innovation to improve how we as a group, and an organization, can get better every day. Your peers will provide you a results-oriented and encouraging environment for your career growth, fueling your opportunity to be a part of Delighting Our Customers. KEY RESPONSIBILITIES: You will be responsible for the development of the test suites that ensure enterprise quality for AMD’s Software Compute stack You will work closely with other software and hardware engineers and architects Ensure test coverage for the GPU product features Review requirements and create associated test cases to ensure traceability Coordinate triaging of issues and drive them to closure Make tough decisions such as priority calls based on partial or incomplete data Proactively drive continuous improvement for functional and performance QA activities Must be a self-starter, and able to independently drive tasks to completion PREFERRED EXPERIENCE: Product development or systems engineering background with hardware platforms and their software & firmware ecosystems Test plan and test development experience for a range of industry workloads Strong knowledge of GPU, CPU, SoC or computer system architecture Knowledge of OpenCL or CUDA GPU Computing Languages a plus Proven record in large scale data center engineering Parallel Computing Skills with MPI Programing experience a plus Deep Learning, High Performance Computing or GPU Server Based computing a big plus Familiar with AI/ML concepts General Computer Architecture concepts Basics of programming Microsoft and Linux Operating Systems Cloud, Virtualization and Container environments System level, functional and environmental stress testing Excellent interpersonal, organizational, analytical, planning, and technical leadership skills ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer/Electronics/Electrical Engineering or equivalent #LI-NR1 AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Sr Technical QA Engineer Hyderabad, India Engineering 65371 Job Description WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ Sr Technical QA Engineer THE ROLE: We are seeking an engineer to join our team that will thrive in a fast-paced work environment, using effective communication, problem-solving and prioritization skills. Individuals that are well organized, show great attention to detail, and employ critical thinking are well-suited for our team. THE PERSON: We are looking for an experienced Senior QA engineer with expertise in virtualization, hypervisors, GPU virtualization, and advanced I/O technologies. This role drives comprehensive feature validation and roadmap projects while ensuring robust quality assurance strategies across traditional and specialized virtual environments. Your remit will include validating GPU virtualization and the intricacies of SR-IOV (Single Root I/O Virtualization) and pass-through technologies, all crucial for delivering high-performance computing, AI, platform specific and data-intensive applications As a QA Tech lead, you will be the driving force behind the quality assurance process for our cutting-edge AI SDK products. You will drive accountability in development practices, audit CI processes, enforce stringent unit test code coverage, and oversee high-level functional test content execution. In addition, you must have hands-on development and validation expertise, including robust experience in SDK development and validation, as well as a deep understanding of AI/ML, GPU environments, and Linux systems. You will work directly with development teams—holding them accountable for maintaining and exceeding quality metrics—while also leading collaborative efforts with our Test Content Teams (TCT) and Automation groups to keep our product at the forefront of innovation. Key Responsibilities Establish and maintain high-quality standards by defining QA best practices and promoting a culture of accountability across development teams. Utilize your hands-on development knowledge to design integrated validation strategies that align with overall project goals. Collaborate directly with engineers, ensuring they deliver high-quality code that complies with established test coverage and CI/CD best practices. Define, monitor, and enforce high standards for unit test (UT) code coverage, ensuring that all critical functionalities are thoroughly validated. Oversee the execution of high-level functional tests, ensuring that software features and end-to-end user scenarios operate seamlessly. Drive the validation efforts for Software Development Kits (SDKs) by designing comprehensive test cases and testplans to verify functionality, performance, compatibility, and integration. Conduct regular audits of the Continuous Integration (CI) pipeline, ensuring that all code undergoes rigorous automated testing and validation before integration. Facilitate clear communication among development, QA, and product teams; provide actionable insights to continuously improve product quality. Work closely with the Test Content Team to align on test content strategies and ensure the execution aligns with product requirements. Actively participate participate in design and code reviews from a QA perspective to ensure quality is embedded in every stage of product development. Use your development and debugging expertise to assist in troubleshooting complex issues alongside the development teams. Apply your knowledge and experience in AI/ML to validate data models, performance, and integration within relevant projects. Excellent communication and leadership skills, with the capability to bridge efforts across development and QA teams to ensure quality and timely project delivery. Identify, propose, and implement process improvements to reduce the cycle time of testing phases and improve product quality. Serve as a trusted advisor to your peers and junior QA engineers, fostering a culture of accountability, quality, and continuous learning. Requirements Bachelor’s or master’s degree in computer science, Engineering, or a related field with 12+ yrs of related experience Demonstrated hands-on development expertise with practical experience in coding, debugging, and designing validation strategies. Deep understanding and experience with unit testing frameworks (such as JUnit, NUnit, LCOV, or similar code coverage tools). Extensive knowledge of CI/CD pipelines, unit testing frameworks, automated testing tools, and functional testing methodologies. Strong proficiency in SDK development and validation—proven ability to create and execute comprehensive test strategies that ensure robust and reliable APIs and libraries. In-depth understanding of AI/ML concepts and practical testing experience in data-driven, machine learning environments. Exposure to advanced test automation frameworks and willingness to explore new testing paradigms involving AI/ML and GPU-optimized processes. Hands-on experience working with GPU environments and optimizing tests for performance on hardware-accelerated systems. Strong proficiency in working within Linux environments (Ubuntu, CentOS, etc.). Familiarity with GPU computing technologies (e.g., ROCm, CUDA, OpenCL) for performance-critical applications. Demonstrable expertise with Docker containerization practices. Exposure to additional container orchestration tools like Kubernetes. Prior experience with AI/ML frameworks such as TensorFlow or PyTorch.is a plus Advanced scripting and programming skills in languages such as Python, C/C++, or similar Exceptional analytical, problem-solving, and communication skills. A self-driven, detail-oriented mindset with an ability to judiciously hold teams accountable. Comfort working independently in a fast-paced, dynamic environment. #LI-NR1 AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Visionify is working on bringing the power of Computer Vision and AI for everyday use-cases. We are looking to hire a strong, motivated and enthusiastic Sr. Computer Vision Engineer to execute our roadmap. As a Sr. Computer Vision Engineer, you will be working on the state-of-the art challenges in the field of Computer Vision & solving them with novel algorithms and optimizations. Majority of our work is focused on applied Computer Vision - so a good understanding of current state of the art of models (Classification, Object detection, Object Recognition, OCR, LayoutML, GAN etc networks). You will be working on Pytorch as primary language - so prior demonstrated knowledge of Pytorch is must for this position. Any experience with Azure, Azure ML Studio framework etc., would also be preferable. Candidates are expected to stay current with the latest features and contribute to the open-source Pytorch project with a focus on performance and accuracy improvements. You deeply understand the PyTorch framework and underlying implementations to solve customer challenges., and provide insights into how key issues affect the product. Many of our models get deployed to the edge - so experience in optimizing and pruning models, converting models to NVIDIA TensorRT etc would be preferable. You must possess excellent Python coding skills - as Python is used throughout our organization to build training and inference pipelines. Candidates should have excellent communication and presentation skills. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Responsibilities: Understanding business objectives and developing Computer Vision based solutions that help achieve it. The software could involve training framework, inference framework, working with different technologies for ML. You will build models and solutions with Pytorch. You will optimize the Pytorch models for different runtime environments including NVIDIA Jetson TensorRT. Guide the development team with their works, unblock their questions, help accelerate their deliverables.Developing ML/Computer Vision algorithms that could be used to solve a given problem. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Develop processes for different common operations of the team: data acquisition, model training, prototype development. Finding open-source datasets for prototype development. Develop pipelines for data processing, augmentation, training, inference and active retraining. Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production Requirements: Bachelors/Masters degree in Computer Science/Computer Engineering/IT or related fields. 5+ years of experience. Exceptional candidates with less experience are welcome to apply. Industry experience working in Image & Video Processing (OpenCV, GStreamer, Tensorflow, PyTorch, TensorRT, Model Training/Inference, Video Processing Pipelines, Different GStreamer Convertors etc). Sound knowledge of various deep learning classification models including ResNet, Inception, VGG etc and object detection models including MobileNetSSD, Yolo, FastRCNN, MaskRCNN etc. Good knowledge of Pytorch, Torchvision, writing training routines. Ability to update models, add/drop features, visualize how the model is performing etc. Experience in Colab and Jupyter Notebook Familiarity with CUDA/GPU Knowledge of CNN visualization techniques such as CAM, GradCAM etc. Strong understanding of Computer Vision and Real-time Video Processing techniques. Strong experience with Python and writing reusable code. Experience working with OpenCV and Scikit packages. Experience with the NVIDIA platform (NVIDIA Deepstream, TensorRT). Experience with Python web framework, e.g. Flask, Django or FastAPI Experience with different ML platforms: PyTorch, TensorFlow. Proficiency with AWS SageMaker Experience with databases (Elasticsearch, SQL, NoSQL, Hive, …) Experience in a cloud environment for software development and deployment (AWS preferred) Experience with utilising various GPU-based training infrastructures. Experience with Docker Knowledge of DevOps and MLOps best practices for production Machine Learning systems. Desired Traits: Thrive in a collaborative environment. Flexible with changing requirements. Come up with innovative solutions. Keen focus on work quality & developing robust code.

Software Validation Engineer (QA) Hyderabad, India Engineering 62454 Job Description WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ SOFTWARE SYSTEM DESIGNER 2 THE ROLE: This is an exciting role in which you will have excellent exposure to all the latest AMD (Advanced Micro Devices) technologies. Imagine yourself as part of the team which will deliver our next generation of our products or automation for many of our reference solutions. This is a phenomenal opportunity to work in an outstanding company like AMD. THE PERSON: You are a self-starter who is able to achieve successful outcomes in a non-hierarchical environment. Detailed oriented, you have the ability to multitask through planning/organizing. You have excellent communication and presentation skills and a passion to push the limits of software on innovative platforms. KEY RESPONSIBILITIES: Performance analysis and software optimization Build and deploy software for the most advanced HPC (High Performance Compute), data science, Virtualization, and machine learning platforms in the world Define/develop/execute regression test models and track the results Drive innovation in production software environments Combine advanced software engineering skills with a drive to explore novel approaches to solve important problems in heterogeneous computing at the large scales Evaluate and review of existing processes and continuously strive to optimize the workflow PREFERRED EXPERIENCE: (3 to 15 years) Good understanding of test lifecycle, QA process & terminology. Strong knowledge of Device drivers, graphics, multimedia, Codec. Test Execution Experience in an automation lab with multiple systems. Define, develop, execute functional/performance/load tests, and integrate them with automated test systems. Establishing and sharing best practices, designing, and executing a robust test strategy. Proficiency in at least one programming language preferably Python. Strong understanding & Hands-on exp. with Linux OS internals, device manager. Hands-on issue debugging skills, issue isolation with Linux kernel, driver module level. Strong understanding of PC hardware, SoC, Chipsets, Graphics cards, BIOS & VBIOS. Understanding of parallel programming, ideally OpenCL, ROCm, CUDA, and OpenACC is a plus. Understanding machine learning, artificial intelligence, computer vision technologies is a plus. Strong analysis, problem-solving & interpersonal skills. Good verbal & written communication skill is a must. Good attitude, result-driven & ability to deliver on next-gen technology. ACADEMIC CREDENTIALS: Bachelors or Masters degree in Electrical Engineering, Mathematics, Computer Science, Engineering, or an equivalent #LI-NR1 AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Software Validation Engineer (QA) Hyderabad, India Engineering 65043 Job Description WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ SENIOR SOFTWARE SYSTEMS DESIGNER THE ROLE: We are looking for a dynamic, energetic Senior Software Systems Design Engineer to join our growing team. You will contribute to the core team that validate the tests for AMD GPU based compute software stack. You will be responsible for maintaining the ROCm stack quality by running those test suites (automated, manual) and suggest enhancements that ensure enterprise quality for AMD’s Software Compute stack. You will work closely with other software and hardware engineers and architects This is an exciting opportunity to work on the cutting edge of GPU Compute technologies. Candidates with a solid foundation in computer science, research or project experience in GPU rendering, Machine Learning and performance are very welcome. THE PERSON: As a Senior Software Systems Design Engineer, you will deliver our next generation of products in the computer graphics industry – 3D Gaming, Display Technologies, Compute, Virtual Reality, etc. In this high visibility position, your systems engineering expertise will be necessary to define products, develop solutions, assess root causes, and produce solution resolutions. As a senior member of the team, taking initiative in mentoring to achieve the team’s goal of on time delivery is expected. KEY RESPONSIBILITIES: Drive technical innovation to improve AMD’s capabilities across product development and validation, including software tools and script development, technical and procedural methodology enhancement, and various internal and cross-functional initiatives. Responsible for AMD’s new GPU/System bring up, ROCm SW stack testing, etc. Responsible for quality and performance timeliness of result for a portion of project/process. Contribute to Improve overall process, quality of products. Be involved in the automation of manual test cases and work closely with automation infrastructure. Executing white box, black box, and regression tests for existing ROCm features. Responsible for quality and timeliness of result for a portion of project/process. Make more complex technical decisions independently. Implement checks and balances independently to minimize the impact of mistakes. Lead collaborative approaches with multiple teams. Mentor others to achieve integrated projects. PREFERRED EXPERIENCE: Good understanding of test lifecycle, QA process & terminology. Strong knowledge of Device drivers, graphics, multimedia, Codec. Test Execution Experience in an automation lab with multiple systems. Define, develop, execute functional/performance/load tests, and integrate them with automated test systems. Establishing and sharing best practices, designing, and executing a robust test strategy. Proficiency in at least one programming language preferably Python. Strong understanding & Hands-on exp. with Linux OS internals, device manager. Hands-on issue debugging skills, issue isolation with Linux kernel, driver module level. Strong understanding of PC hardware, SoC, Chipsets, Graphics cards, BIOS & VBIOS. Understanding of parallel programming. ROCm or CUDA is a plus. Understanding machine learning, artificial intelligence, computer vision technologies is a plus. Strong analysis, problem-solving & interpersonal skills. Good verbal & written communication skill is a must. Good attitude, result-driven & ability to deliver on next-gen technology. Knowledge of KVM/XEN/VMWARE is a plus ACADEMIC CREDENTIALS: Bachelors or master’s degree in electrical or computer engineering. Master’s degree preferred. #LI-NR1 AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Role – AIML Data Scientist Job Location : Hyderabad Mode of Interview - Virtual Job Description: 1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem b. Improve Model accuracy to deliver greater business impact c. Estimate business impact due to deployment of model 2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge 3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch 5. Experience in using Deep learning models with text, speech, image and video data a. Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc b. Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV c. Knowledge of State of the art Deep learning algorithms 6. Optimize and tune Deep Learnings model for best possible accuracy 7. Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau 8. Work with application teams, in deploying models on cloud as a service or on-prem a. Deployment of models in Test / Control framework for tracking b. Build CI/CD pipelines for ML model deployment 9. Integrating AI&ML models with other applications using REST APIs and other connector technologies 10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Technology/Subject Matter Expertise Sufficient expertise in machine learning, mathematical and statistical sciences Use of versioning & Collaborative tools like Git / Github Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming Develop prototype level ideas into a solution that can scale to industrial grade strength Ability to quantify & estimate the impact of ML models Softskills Profile Curiosity to think in fresh and unique ways with the intent of breaking new ground. Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control Ability to think ahead, and anticipate the needs for solving the problem will be important Ability to communicate key messages effectively, and articulate strong opinions in large forums Desirable Experience: Keen contributor to open source communities, and communities like Kaggle Ability to process Huge amount of Data using Pyspark/Hadoop Development & Application of Reinforcement Learning Knowledge of Optimization/Genetic Algorithms Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios Optimize and tune deep learning model for best possible accuracy Understanding of stream data processing, RPA, edge computing, AR/VR etc Appreciation of digital ethics, data privacy will be important Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

Job Description/Preferred Qualifications Key Responsibilities: Lead and mentor a team of algorithm engineers, providing guidance and support to ensure their professional growth and success. Develop and maintain the infrastructure required for the deployment and execution of algorithms at scale. Collaborate with data scientists, software engineers, and product managers to design and implement robust and scalable algorithmic solutions. Optimize algorithm performance and resource utilization to meet business objectives. Stay up-to-date with the latest advancements in algorithm engineering and infrastructure technologies, and apply them to improve our systems. Drive continuous improvement in development processes, tools, and methodologies. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in developing computer vision and image processing algorithm and ML/DL algorithm. Familiar with high performance computing, parallel programming and distributed systems. Strong leadership and team management skills, with a track record of successfully leading engineering teams. Proficiency in programming languages such as Python, C++ and CUDA. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Preferred Qualifications: Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with GPU architecture and algo development toolkit like Docker, Apptainer. Minimum Qualifications Bachelor's degree plus 8 + years of experience Master's degree plus 8 + years of experience Familiar with high performance computing, parallel programming and distributed systems. Must-Haves Phd with 6 yrs industry exp or M.Tech + 8 yrs experience or B.tech + 10 yrs experience. Minimum 3 yrs experience working as a Manager (only Lead experience will not qualify). 8 years experience in any of the programming languages such as Python/C++/CUDA. 8 years experience in Machine learning, Artificial intelligence, Deep learning & Computer vision. 5 years exp in Image processing Product Company Experience is a MUST. Candidates from engineering product companies are higher chances of select. Candidates from Tier 1 colleges like (IIT, IIIT, VIT, NIT)(Preferred) No job hoppers(candidate must have good stability- min 2 years in an organisation) No Poach - HCL (current company must not be HCL) Relocation to Chennai is mandatory No Poach Clients (Plus Other Strict No-Nos) HCL Nice To Haves Candidates from Semicon or manufacturing companies Candidates with more than 8 CPGA Target Companies product companies/Semicon or any electrical or HW manufacturing companies. Additional Guidelines Interview Process: 3 Tech rounds, Fitment round, HR round. Relocation Expenses: Available. 3 day working from office. Can source from anywhere ( even international candidates )who are willing to relocate. Skills: parallel programming,computer vision,tensorflow,algorithm engineering,cuda,learning,apptainer,c++,image processing,machine learning,plus,docker,deep learning,pytorch,distributed systems,python,scikit-learn,high performance computing Show more Show less

Hi, Greetings from Qualcomm. Raja Shekar here from Qualcomm. We do have multiple open positions for Lead Engineer Staff Engineer & Senior Staff Engineer Graphics side / GPU / Vulkan / OpenGL / GLES/ Rendering / Shaders / Performance Profiling Etc., (Software / Development Role) Please share your updated resume to rshekarv@qti.qualcomm.com with CTC and ECTC details. Note - If you want more details please share the resume, If suits for our requirement will call you The Qualcomm Adreno GPU Software team is looking for talented engineers to work on next generation GPU Developer Tools. Responsibilities include the design and development of profiling and performance analysis tools. In this role, you will: · Design and develop profiling, performance analysis, and debugging tools features. · Collaborate with GPU hardware and software teams on performance validation and analysis. · Debug issues, optimize for the user experience, and work with the developer ecosystem, partners, and OEMs. · Extensive programming knowledge in C/C++ One or more of the following qualifications is a plus: · Experience developing graphics applications with Vulkan, DirectX, Metal, OpenGL, WebGL or graphics development through Unity, Unreal Engine, Godot or a comparable graphics or game engine · Experience developing GPU computing applications with OpenCL, CUDA, SYCL etc. · Experience debugging, optimizing, profiling, and tuning real-time graphics and/or compute applications · Experience with game engines, graphics frameworks, or general computing frameworks leveraging the GPU · Knowledge of recent graphics trends, especially ray tracing and emerging capabilities such as mesh shading and workgraphs · Familiarity with Graphics Profilers and Debuggers such as Nsight, PIX, GPA, RenderDoc, Radeon Profilers, GfxReconstruct Raja Shekar Vadipilla Senior Talent Acquisition Specialist Show more Show less

Role – AIML Data Scientist Job Location : Hyderabad Mode of Interview - Virtual Job Description Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch Experience in using Deep learning models with text, speech, image and video data Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV Knowledge of State of the art Deep learning algorithms Optimize and tune Deep Learnings model for best possible accuracy Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau Work with application teams, in deploying models on cloud as a service or on-prem Deployment of models in Test / Control framework for tracking Build CI/CD pipelines for ML model deployment Integrating AI&ML models with other applications using REST APIs and other connector technologies Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Technology/Subject Matter Expertise Sufficient expertise in machine learning, mathematical and statistical sciences Use of versioning & Collaborative tools like Git / Github Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming Develop prototype level ideas into a solution that can scale to industrial grade strength Ability to quantify & estimate the impact of ML models Softskills Profile Curiosity to think in fresh and unique ways with the intent of breaking new ground. Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control Ability to think ahead, and anticipate the needs for solving the problem will be important Ability to communicate key messages effectively, and articulate strong opinions in large forums Desirable Experience: Keen contributor to open source communities, and communities like Kaggle Ability to process Huge amount of Data using Pyspark/Hadoop Development & Application of Reinforcement Learning Knowledge of Optimization/Genetic Algorithms Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios Optimize and tune deep learning model for best possible accuracy Understanding of stream data processing, RPA, edge computing, AR/VR etc Appreciation of digital ethics, data privacy will be important Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus Show more Show less

Job Description As a Senior Principal Software Engineer in the Foundational Services organisation, you will play a pivotal role in delivering cutting-edge SaaS capabilities for Oracle's market-leading SaaS products. Our SaaS Engine is a next-generation platform designed to revolutionize SaaS ownership by leveraging advanced technologies like AI, polyglot databases, high-performance computing, and user centric design. Responsibilities Role Specific Responsibilities Architecting the SaaS Engine: Utilize state-of-the-art technologies such as language models, high-performance compute, next-generation Ul technology, and cloud-native architecture to build the foundation for Oracle's market-leading SaaS applications. Driving Innovation: Continuously explore and implement innovative solutions to enhance the SaaS Engine's capabilities, efficiency, and user experience. Collaborating with Cross-Functional Teams: Work closely with product managers, developers, and other stakeholders to ensure the SaaS Engine aligns with business objectives and delivers exceptional value to customers. Mentoring and Guiding: Provide technical leadership and mentorship to team members, fostering a culture of innovation and excellence. Technical Skills: Cloud Native Principles and Architectures: Expertise in designing scalable and resilient cloud-based solutions. API-Driven Architecture: Proficiency in creating layered and abstracted designs using APls. Design Documentation: Ability to create comprehensive design documentation, including artefacts like sequence diagrams. Cloud Native Technologies: Familiarity with Kubernetes, Docker, serverless compute, software-driven networking, and identity and access management. API Standards: Knowledge of API standards (e.g., OpenAPI, RESTful AP|s) and related concepts (e.g., JSON, JSON Schema). Databases: Experience with multiple database technologies (e.g., Key/Value, Graph, Document, RDBMS). Programming: Reasonable proficiency in at least one programming language (e.g., C, C++, Java, Python). Nice to have: High-Performance Computing: Familiarity with high-performance computing (e.g., CUDA). Financial Engineering: Experience in computational finance, actuarial algorithms or related area such as scientific computing Generative Al: Experience in generative Al, usage of large language models for data summarization and usability enhancement Soft Skills: Blueprints and Roadmaps: Ability to curate blueprints and define roadmaps for complex platforms. Presentation and Articulation: Effective communication skills to present designs to diverse audiences. Hands-On Approach: Willingness to be involved in practical aspects of the work. Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field or comparable experience. At least 10+ years of experience in designing and implementing complex cloud-native architectures. (Will consider candidates with exceptional experience and demonstrated skills even if they have less than 10 years.) Experience building computational models for insurance actuarial calculations Strong understanding of API design principles and best practices, with demonstrable experience in API design. While not an absolute requirement, candidates with experience contributing to API standards bodies, open-source projects will be highly regarded. Experience working with various database technologies. Familiarity with high-performance computing concepts. Excellent communication and collaboration skills. Advanced degrees (e.g., Master's, PhD) in a relevant field will be highly regarded. A passion for learning and staying up-to-date with emerging technologies. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description As a Senior Principal Software Engineer in the Foundational Services organisation, you will play a pivotal role in delivering cutting-edge SaaS capabilities for Oracle's market-leading SaaS products. Our SaaS Engine is a next-generation platform designed to revolutionize SaaS ownership by leveraging advanced technologies like AI, polyglot databases, high-performance computing, and user centric design. Responsibilities Role Specific Responsibilities Architecting the SaaS Engine: Utilize state-of-the-art technologies such as language models, high-performance compute, next-generation Ul technology, and cloud-native architecture to build the foundation for Oracle's market-leading SaaS applications. Driving Innovation: Continuously explore and implement innovative solutions to enhance the SaaS Engine's capabilities, efficiency, and user experience. Collaborating with Cross-Functional Teams: Work closely with product managers, developers, and other stakeholders to ensure the SaaS Engine aligns with business objectives and delivers exceptional value to customers. Mentoring and Guiding: Provide technical leadership and mentorship to team members, fostering a culture of innovation and excellence. Technical Skills: Cloud Native Principles and Architectures: Expertise in designing scalable and resilient cloud-based solutions. API-Driven Architecture: Proficiency in creating layered and abstracted designs using APls. Design Documentation: Ability to create comprehensive design documentation, including artefacts like sequence diagrams. Cloud Native Technologies: Familiarity with Kubernetes, Docker, serverless compute, software-driven networking, and identity and access management. API Standards: Knowledge of API standards (e.g., OpenAPI, RESTful AP|s) and related concepts (e.g., JSON, JSON Schema). Databases: Experience with multiple database technologies (e.g., Key/Value, Graph, Document, RDBMS). Programming: Reasonable proficiency in at least one programming language (e.g., C, C++, Java, Python). Nice to have: High-Performance Computing: Familiarity with high-performance computing (e.g., CUDA). Financial Engineering: Experience in computational finance, actuarial algorithms or related area such as scientific computing Generative Al: Experience in generative Al, usage of large language models for data summarization and usability enhancement Soft Skills: Blueprints and Roadmaps: Ability to curate blueprints and define roadmaps for complex platforms. Presentation and Articulation: Effective communication skills to present designs to diverse audiences. Hands-On Approach: Willingness to be involved in practical aspects of the work. Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field or comparable experience. At least 10+ years of experience in designing and implementing complex cloud-native architectures. (Will consider candidates with exceptional experience and demonstrated skills even if they have less than 10 years.) Experience building computational models for insurance actuarial calculations Strong understanding of API design principles and best practices, with demonstrable experience in API design. While not an absolute requirement, candidates with experience contributing to API standards bodies, open-source projects will be highly regarded. Experience working with various database technologies. Familiarity with high-performance computing concepts. Excellent communication and collaboration skills. Advanced degrees (e.g., Master's, PhD) in a relevant field will be highly regarded. A passion for learning and staying up-to-date with emerging technologies. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less