156 Linear Algebra Jobs

Role: Data scientist I Location: Bengaluru What youll do Were MiQ, a global programmatic media partner for marketers and agencies. Our people are at the heart of everything we do, so you will be too. No matter the role or the location, were all united in the vision to lead the programmatic industry and make it better. As a Data scientist I in our data science department, youll have the chance to: Build an end-to-end data-driven / AI / ML / Statistics based Ad-Tech solutions that positions MiQ as the leading programmatic partner for advertisers across the lifecycle of a marketing campaign Look for opportunities to build solutions that would differentiate MiQ from competitors by researching cutting edge AI techniques and technologies Focus on ML/AI solutions that scale - from tech as well as functional point of view Bring innovation and research to focus internally and externally, through submitting white papers, representing MiQ and presenting at conferences, participating in hackathons etc. Who are your stakeholders The Data Scientists internal customers / stakeholders include: Account Managers / Traders / Sales / Analysts: The Data Scientist builds solutions that are used primarily by these internal customers through MiQ proprietary platforms like Lab and The data scientist usually does not directly collaborate with these customers and the market requirements and solution feedback is through Product Management team Product Management: The Data Scientist builds solutions prioritized as part of the Product roadmap What youll bring Experience in applying machine learning, statistical pattern recognition, and data mining algorithms to predict Strong Experience with at-least one programming language - g. Java, Python, R Strong experience with advanced SQL and good experience in big data ecosystem - Hive/Pig/MapReduce, Spark Write optimized and advanced SQL queries to extract, transform, and analyze large datasets Translate mathematical concepts (linear algebra, probability, optimization) into practical model implementations Extreme attention to detail, ability to meet deadlines and priorities Strong written and verbal communication skills A can-do attitude, with a dream to grow alongside Weve highlighted some key skills, experience and requirements for this role. But please dont worry if you dont meet every single one. Our talent team strives to find the best people. They might see something in your background thats a fit for this role, or another opportunity at MiQ. If you have a passion for the role, please still apply. What impact will you create By building an end-to-end data-driven, youll contributes to MiQs Revenue and Gross Profit. You also build generalised Product features that enable key internal stakeholders to discover right audience insights, setup and optimise digital advertising campaigns, and measure the success of these campaigns. You will always develop best practices and handle the transition solutions smoothly to production and host on MiQs proprietary platforms. Whats in it for you Our Center of Excellence is the very heart of MiQ, and its where the magic happens. It means everything you do and everything you create will have a huge impact across our entire global business. MiQ is incredibly proud to foster a welcoming culture. We do everything possible to make sure everyone feels valued for what they bring. With global teams committed to diversity, equity, and inclusion, were always moving towards becoming an even better place to work. Values Our values are so much more than statements . They unite MiQers in every corner of the world. They shape the way we work and the decisions we make. And they inspire us to stay true to ourselves and to aim for better. Our values are there to be embraced by everyone, so that we naturally live and breathe them. Just like inclusivity, our values flow through everything we do - no matter how big or small. We do what we love - Passion We figure it out - Determination We anticipate the unexpected - Agility We always unite - Unite We dare to be unconventional - Courage Benefits Every region and office have specific perks and benefits, but every person joining MiQ can expect: A hybrid work environment New hire orientation with job specific onboarding and training Internal and global mobility opportunities Competitive healthcare benefits Bonus and performance incentives Generous annual PTO paid parental leave, with two additional paid days to acknowledge holidays, cultural events, or inclusion Employee resource groups designed to connect people across all MiQ regions, drive action, and support our Apply today! Equal Opportunity Employer Show more Show less

Role Overview: As a Hardware Engineering Intern at Google, you will be part of a team shaping the future of Google Cloud Silicon, including TPUs, Arm-based servers, and network products. You will collaborate with hardware and software architects and designers to architect, model, analyze, define, and design next-generation Cloud Silicon. Your responsibilities will be dynamic and multi-faceted, focusing on product definition, design, and implementation. You will work closely with Engineering teams to achieve the optimal balance between performance, power, features, schedule, and cost. Key Responsibilities: - Work with hardware and software architects and designers to architect, model, analyze, define, and design next-generation Cloud Silicon - Collaborate with Engineering teams to drive the optimal balance between performance, power, features, schedule, and cost - Have responsibilities in areas such as product definition, design, and implementation - Contribute to shaping the future of Google Cloud Silicon, including TPUs, Arm-based servers, and network products Qualifications Required: - Currently pursuing a PhD degree in Computer Engineering, Computer Science, Electronics and Communication Engineering, Electrical Engineering, or a related technical field - Experience in Hardware System Integration, Signal and Power Integrity, System Validation, Wireless Communications, Product Design, Computer Architecture, Digital Design Verification, Digital Circuits, ASIC Physical Design, FPGAs, Embedded Systems, Memory Systems - Experience in programming languages such as C++, Python, Verilog, UVM, Synopsys, and Cadence tools - Experience with wireless communication interfaces and sensors - Experience with performance modeling tools, C++, Python, Silicon design tools in Front End/Design Verification/Physical Design - Knowledge of arithmetic units, bus architectures, accelerators, or memory hierarchies, computer architecture, linear algebra, ML/DL background - Knowledge of high performance and low power design techniques - Currently attending a degree program in India and available to work full time for 12 weeks outside of university term time Additional details of the company: Google is an engineering company that prioritizes security, efficiency, and reliability. The ML, Systems, and Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services. Their end users are Googlers, Cloud customers, and people who use Google services around the world. The company focuses on developing the latest Cloud Si products and running a global network while driving towards shaping the future of hyperscale computing. Google engineers work on various technical challenges to make an impact on millions of users and revolutionize technology. (Note: The section "Additional details of the company" has been included based on the information provided in the job description),

Job Description Summary Data Scientist with deep expertise in modern AI/ML technologies to join our innovative team. This role combines cutting-edge research in machine learning, deep learning, and generative AI with practical full-stack cloud development skills. You will be responsible for architecting and implementing end-to-end AI solutions, from data engineering pipelines to production-ready applications leveraging the latest in agentic AI and large language models. Job Description Key Responsibilities AI/ML Development & Research Design, develop, and deploy advanced machine learning and deep learning models for complex business problems Implement and optimize Large Language Models (LLMs) and Generative AI solutions Build agentic AI systems with autonomous decision-making capabilities Conduct research on emerging AI technologies and their practical applications Perform model evaluation, validation, and continuous improvement Cloud Infrastructure & Full-Stack Development Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP Develop full-stack applications integrating AI models with modern web technologies Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.) Implement CI/CD pipelines for ML model deployment and monitoring Design and optimize cloud infrastructure for high-performance computing workloads Data Engineering & Database Management Design and implement data pipelines for large-scale data processing Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.) Optimize database performance for ML workloads and real-time applications Implement data governance and quality assurance frameworks Handle streaming data processing and real-time analytics Leadership & Collaboration Mentor junior data scientists and guide technical decision-making Collaborate with cross-functional teams including product, engineering, and business stakeholders Present findings and recommendations to technical and non-technical audiences Lead proof-of-concept projects and innovation initiatives Required Qualifications Education & Experience Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field 5+ years of hands-on experience in data science and machine learning 3+ years of experience with deep learning frameworks and neural networks 2+ years of experience with cloud platforms and full-stack development Technical Skills - Core AI/ML Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents Technical Skills - Development & Infrastructure Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB) Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks Big Data: Spark, Hadoop, Kafka, streaming data processing Preferred Qualifications Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma) Knowledge of LangChain, LlamaIndex, or similar LLM frameworks Experience with model compression and edge deployment Familiarity with distributed computing and parallel processing Experience with computer vision and NLP applications Knowledge of federated learning and privacy-preserving ML Experience with quantum machine learning Expertise in MLOps and production ML system design Key Competencies Technical Excellence Strong mathematical foundation in statistics, linear algebra, and optimization Ability to implement algorithms from research papers Experience with model interpretability and explainable AI Knowledge of ethical AI and bias detection/mitigation Problem-Solving & Innovation Strong analytical and critical thinking skills Ability to translate business requirements into technical solutions Creative approach to solving complex, ambiguous problems Experience with rapid prototyping and experimentation Communication & Leadership Excellent written and verbal communication skills Ability to explain complex technical concepts to diverse audiences Strong project management and organizational skills Experience mentoring and leading technical teams How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs. DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know. We invite you to explore all TaskUs career opportunities and apply through the provided URL . Location - Chennai,Gurugram,Hyderabad,Indore,Mumbai

What you will do: General Responsibilities: Lead cooperative efforts with R&D, Quality, Manufacturing, Regulatory, Clinical, Marketing and Project Management to ensure project success. Lead and support other team members to create or improve procedures, policies, processes, systems, and technology requirements. Develop and utilize tools to enhance the companys product/process development or performance Mentor and grow technical talent within discipline/function. Lead and support complex product development for cross functional teams, influencing multiple technical areas of expertise. Hold the team accountable to deliver high quality results with passion, energy and drive to meet business priorities. Identify and implement design and process solutions and ensure they are sustained over time. Lead code reviews for projects/systems as independent reviewer applying design principals, coding standards and best practices. What you will need (strongly desired): 10-15 years of work experience in mobile development. Strong C++ experience is a required. Mathematics & Simulation: Strong linear algebra expertise is required (Transformations, matrices, quaternions, vector math, coordinate system) Knowledge of physics, hit testing, and collision detection is plus Strong experience in Swift and Objective-C. Experience with SwiftUI is a huge plus Experience with some of the following technologies: UIKit, Core Data, Core Bluetooth, NSURL Session, AVFoundation. Experience with ARKit and RealityKit. Metal is a huge plus, transforms, linear algebra. Experience with other AR/XR frameworks such as Unity is a huge plus. Excellent debugging skills Good to have: Talent for cleanly architecting UI features. Passion for quality and attention to detail. Superior ability to identify and resolve complex problems. Excellent communication skills with the ability to work cross-team. Inquisitive and highly motivated self-starter.

About the Team Our Data Science team is the Avengers to Meeshos S.H.I.E.L.D ???. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. Weve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. But wait theres more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting Summer of 69 at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ?? About the Role Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers. What you will do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What you will need Bachelor's/Master's degree in computer science (or similar degrees) 4-7 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning etc. Familiarity with tools like SQL, R, Python, etc. Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: Experience in working on personalization or other ML problems Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift

About the Team Our Data Science team is the Avengers to Meeshos S.H.I.E.L.D ???. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. Weve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Lead Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. But wait theres more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting Summer of 69 at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ?? About the Role Love deep data? Does innovative-thinking describe you? Then you may be our next Lead Data Scientist. In this role youll be the Dumbledore to our team of wizards - our junior data scientists. You will be responsible for transforming scattered pieces of information into valuable data that can be used to achieve goals effectively. You will extract and mine critical bits of information and drive insightful discussions that result in app innovations. What you will do Own and deliver solutions across multiple charters by formulating well-scoped problem statements and driving them to execution with measurable impact Mentor a team of data scientists (DS2s and DS3s), helping them with project planning, execution, and on-call issue resolution Design and optimize key user journeys (e.g., Reseller Experience, Search, Fraud Systems) by identifying user intents and behavioral patterns from large-scale data Collaborate with machine learning engineers and big data teams to build scalable ML pipelines and improve inference performance Continuously track and improve model performance using state-of-the-art (SOTA) techniques and libraries Lead experimental design for usability improvements and user growth, leveraging statistical rigor Contribute to system-level thinking by enhancing internal tools, frameworks, and libraries to improve team efficiency and code quality Partner with engineering to ensure data reliability, compliance with security/PII guidelines, and integration of models into production systems Proactively explore new areas of opportunity through research, data mining, and academic collaboration, including publishing and attending top-tier conferences Communicate findings, plans, and results clearly with DS, product, and tech stakeholders, and create technical documentation consumable by both DS and engineering teams Conduct research collaborations with premier colleges and universities Attend conferences and publish research papers What you will need A Bachelor's degree in Computer Science, Data Science, or a related field; a Masters is a plus 6--8 years of experience in data science with a strong track record of building and deploying ML solutions at scale Deep understanding of core ML techniques supervised, unsupervised, and semi-supervised learning along with strong foundations in statistics and linear algebra Exposure to deep learning concepts and architectures (e.g., CNNs, RNNs, Transformers) and their practical applications Proficiency in Python and SQL, with experience in building data pipelines and analytical workflows Hands-on experience with large-scale data processing using Apache Spark, Hadoop/Hive, or cloud platforms such as GCP Strong programming fundamentals and experience writing clean, maintainable, and production-ready code Excellent analytical and problem-solving skills the ability to extract actionable insights from messy and high-volume data Solid grasp of statistical testing, hypothesis validation, and common pitfalls in experimental design Experience designing and interpreting A/B tests, including uplift measurement and segmentation Ability to work closely with product and engineering teams to translate business goals into scalable ML or data solutions Bonus points for: Experience with reinforcement learning or sequence modeling techniques Contributions to ML libraries, internal tools, or research publications

Role Overview: As a Software Engineer, you will be an individual contributor responsible for understanding software and system components along with associated specifications. Your role will involve modifying the architecture to enhance accuracy using techniques like hyperparameter tuning, changing validation and test strategies, and selecting the right loss and activation functions. Additionally, you will work on Visual Foundation models such as YOLO, MAE, and GrondingDIno, apply statistical techniques for data analysis, and optimize neural architecture for production deployment. Key Responsibilities: - Demonstrate a good knowledge of Maths and Statistics, especially in calculus, linear algebra, and Bayesian statistics. - Utilize CNN-based architecture for imaging or video applications. - Proficiency in programming languages like Python, C/C++, and understanding of Tensorflow/Keras APIs and OpenCV library. - Implement various optimization techniques for production deployment and deliver on production environments. - Experience in image processing/audio signal processing is a plus. - Hands-on knowledge of using GPUs (CUDA) for TensorFlow/pyTorch. Qualifications Required: - Graduation/Post-Graduation in Computer Science/Maths/Stats/Physics from a reputed institution. - Consistently good academic record with a minimum of 75% throughout. - At least 1 year of work experience in the field of ML/AI. Additional Details: The company offers a Full-time job type with benefits such as health insurance, leave encashment, and Provident Fund. (Note: Company details mentioned in the job description have been omitted as they do not provide specific information relevant to the job role.),

As a Data Science, ML & AI Project Intern at our company in Calicut, you will be an integral part of our data-driven initiatives. Your responsibilities will include: - Developing machine learning models for various projects - Developing rule-based algorithms and other predictive models - Analyzing data from various sources and applying techniques to extract meaningful insights - Preparing and presenting reports and presentations - Writing code (e.g. Python, R, etc.) to perform data analysis - Identifying opportunities for data-driven decision-making - Keeping up with emerging technologies in data science To excel in this role, you should possess the following qualifications: - Currently pursuing a degree in Computer Science, Applied Mathematics, Statistics, or a related field - Experience in programming languages like Python, R, etc. - Knowledge of mathematical concepts such as calculus, linear algebra, and statistics - Familiarity with machine learning concepts and techniques - Ability to analyze and interpret data to extract meaningful insights - Excellent communication and presentation skills - High level of attention to detail and accuracy - Capability to work both independently and as part of a team This position offers valuable experience for someone with 0-1 years of experience in the field. If you are passionate about data science and eager to apply your skills to real-world problems, this internship could be the perfect fit for you. Please note the job types available for this position are Fresher and Internship. The expected start date is 1/10/2025, and the work location is in person at our office in Calicut. The application deadline for this opportunity is 10/12/2024.,

Data Scientist with deep expertise in modern AI/ML technologies to join our innovative team. This role combines cutting-edge research in machine learning, deep learning, and generative AI with practical full-stack cloud development skills. You will be responsible for architecting and implementing end-to-end AI solutions, from data engineering pipelines to production-ready applications leveraging the latest in agentic AI and large language models. Job Description Key Responsibilities AI/ML Development & Research Design, develop, and deploy advanced machine learning and deep learning models for complex business problems Implement and optimize Large Language Models (LLMs) and Generative AI solutions Build agentic AI systems with autonomous decision-making capabilities Conduct research on emerging AI technologies and their practical applications Perform model evaluation, validation, and continuous improvement Cloud Infrastructure & Full-Stack Development Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP Develop full-stack applications integrating AI models with modern web technologies Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.) Implement CI/CD pipelines for ML model deployment and monitoring Design and optimize cloud infrastructure for high-performance computing workloads Data Engineering & Database Management Design and implement data pipelines for large-scale data processing Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.) Optimize database performance for ML workloads and real-time applications Implement data governance and quality assurance frameworks Handle streaming data processing and real-time analytics Leadership & Collaboration Mentor junior data scientists and guide technical decision-making Collaborate with cross-functional teams including product, engineering, and business stakeholders Present findings and recommendations to technical and non-technical audiences Lead proof-of-concept projects and innovation initiatives Required Qualifications Education & Experience Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field 5+ years of hands-on experience in data science and machine learning 3+ years of experience with deep learning frameworks and neural networks 2+ years of experience with cloud platforms and full-stack development Technical Skills - Core AI/ML Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents Technical Skills - Development & Infrastructure Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB) Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks Big Data: Spark, Hadoop, Kafka, streaming data processing Preferred Qualifications Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma) Knowledge of LangChain, LlamaIndex, or similar LLM frameworks Experience with model compression and edge deployment Familiarity with distributed computing and parallel processing Experience with computer vision and NLP applications Knowledge of federated learning and privacy-preserving ML Experience with quantum machine learning Expertise in MLOps and production ML system design Key Competencies Technical Excellence Strong mathematical foundation in statistics, linear algebra, and optimization Ability to implement algorithms from research papers Experience with model interpretability and explainable AI Knowledge of ethical AI and bias detection/mitigation Problem-Solving & Innovation Strong analytical and critical thinking skills Ability to translate business requirements into technical solutions Creative approach to solving complex, ambiguous problems Experience with rapid prototyping and experimentation Communication & Leadership Excellent written and verbal communication skills Ability to explain complex technical concepts to diverse audiences Strong project management and organizational skills Experience mentoring and leading technical teams Location - Chennai,Gurugram,Hyderabad,Indore,Mumbai

Wealth Management (WM) Investment Risk & Analytics (IR&A) is responsible for the risk oversight of the Managed Strategies from end to end across the WM's Private Bank and Consumer Bank businesses. Managed Strategies included JPMorgan's own proprietary products and third-party funds to include registered funds, exchange traded notes (ETNs), exchange traded funds (ETFs), separately managed accounts, hedge funds, and private equity and real estate funds, etc. We are looking for individuals who can partner with senior members of our team to oversee business activities, models and methodologies related to investment risk. with an emphasis on developing new tools and methodologies that will aid in risk quantification. Job responsibilities: Design, develop, and deploy advanced AI/ML models to derive actionable insights, automate processes, and facilitate strategic decision-making across various business units. Collaborate with teams to design and oversee the end-to-end lifecycle of AI/ML initiatives - from problem scoping, data engineering, model development, validation, deployment, to monitoring. Lead the model development process, including tasks such as data wrangling/analysis, model training, testing, and selection. Conduct risk modeling, scenario analysis, and business impact evaluations to ensure AI/ML solutions are robust, ethical, and aligned with organizational goals. Drive experimentation with advanced techniques such as deep learning, generative AI (e.g., LLMs, GANs), and reinforcement learning to solve complex business challenges and create value. Collaborate with Technology on model testing, implementation, and production. Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders. Stay abreast of emerging trends and research in AI and machine learning, and assess their potential application within the organization. Represent risk analytics in governance forums, risk committees, and audit discussions. Participate in regulatory and validation exams by providing documentation and responses to regulators and internal validators. Partner with non-credit risk groups to identify and understand the simultaneous impact of multiple risks, such as product, fiduciary, counterparty, concentration, ESG/climate, liquidity, and their effect on investments. Required qualifications, capabilities, and skills 3+ years of hands-on experience in data science, machine learning, or AI. Bachelors/Master/PhD degree in Computer Science / Data Science / Mathematics / Statistics / relevant STEM field is highly preferred. Demonstrated experience with generative AI technologies such as transformers, large language models, or diffusion models. Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning (e.g., ensemble methods, NLP, time-series), Probability Theory and Linear Algebra. Have experience with investment products including fixed income, equity, and mutual funds. Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, LangChain, LangGraph etc.). Experience with data visualization tools such as Tableau, Power BI, or similar. Logical thought process, ability to scope out an open-ended problem into data driven solution. Strong quantitative and analytical skills and ability to work with diverse cultures in a global team.

Senior Mathematics Instructor About NxtWave NxtWave is one of Indias fastest-growing ed-tech startups , revolutionizing the 21st-century job market. NxtWave is transforming youth into highly skilled tech professionals through its CCBP 4.0 programs, regardless of their educational background. NxtWave is founded by Rahul Attuluri (Ex-Amazon, IIIT Hyderabad), Sashank Reddy (IIT Bombay) and Anupam Pedarla (IIT Kharagpur). Supported by Orios Ventures, Better Capital, and Marquee Angels, NxtWave raised $33 million in 2023 from Greater Pacific Capital. As an official partner for NSDC (under the Ministry of Skill Development & Entrepreneurship, Govt. of India) and recognized by NASSCOM, NxtWave has earned a reputation for excellence. Some of its prestigious recognitions include: Technology Pioneer 2024 by the World Economic Forum, one of only 100 startups chosen globally Startup Spotlight Award of the Year’ by T-Hub in 2023 ‘Best Tech Skilling EdTech Startup of the Year 2022’ by Times Business Awards ‘The Greatest Brand in Education’ in a research-based listing by URS Media NxtWave Founders Anupam Pedarla and Sashank Gujjula were honoured in the 2 024 Forbes India 30 Under 30 for their contributions to tech education. NxtWave breaks learning barriers by offering vernacular content for better comprehension and retention. NxtWave now has paid subscribers from 650+ districts across India. Its learners are hired by over 2000+ companies including Amazon, Accenture, IBM, Bank of America, TCS, Deloitte and more. Know more about NxtWave: https://www.ccbp.in Read more about us in the news - Economic Times | CNBC | Yourstory | VCCircle About NxtWave Institute of Advanced Technologies (NIAT): NIAT is NxtWave’s flagship 4 Years, on-campus program for Computer Science Education. It is designed to offer one of India’s most advanced industry-aligned curricula. Situated in the heart of Hyderabad's tech landscape, NIAT’s new-age campus is surrounded by global giants like Google, Microsoft, Apple, Infosys, TCS and many more providing students with unparalleled exposure to the world of technology. At NIAT, world-class software engineers are the mentors who work hand-in-hand with students, ensuring they graduate as industry-ready professionals. With a curriculum that seamlessly integrates real-world tech requirements, NIAT prepares students to thrive in an ever-evolving tech world. NIAT’s 2024-2028 admissions cycle was a massive success, with all seats filling up rapidly with a long waitlist for admissions, further solidifying NIAT’s reputation as the premier destination for aspiring tech leaders. Know more about NxtWave: https://www.ccbp.in Know more about NIAT: https://www.niatindia.com/ Read more about us in the news - Economic Times | CNBC | Yourstory | VCCircle Curriculum Scope: The candidate is expected to have expertise and teach, though not limited to, the following subjects at the undergraduate level. Mathematics for Computer Science Discrete Mathematics Linear Algebra Advanced Calculus Optimization Probability & Statistics Requirements: Ph.D. in Mathematics (Pursuing/ Completed) At least 1 year of Previous experience teaching university-level mathematics courses to Engineering students. (UG/ PG level) A strong passion for teaching and mentoring, dedicated to fostering student success. Skills (Must Have) : At least 1 year of teaching/training/industry experience in Mathematics at the University Level. Deep understanding of Advanced Engineering Mathematics and its real-world applications. Excellent communication and ability to simplify complex concepts. Passion for mentoring B.Tech students and driving impact. Solid expertise in Discrete Mathematics, Linear Algebra, Optimization, Advanced Calculus, Probability & Statistics, and Mathematical Foundations. Professional fluency in English, with excellent communication and presentation skills. Proficiency in content development using tools like Google Sheets, Google Slides, etc. (Knowledge of the Microsoft 365 stack is a plus). Ability to quickly learn and use technology platforms to interact with students. Empathy, ambition, and the ability to work closely with individuals from diverse backgrounds and cultures. Skills (Good to Have): Knowledge of AI/ ML, Data Science, and Optimization. Research exposure/ experience in applying Mathematics in the CSE/ Tech Industry. An innovative approach to problem-solving and adaptability to different learning styles. Strong organizational and time-management skills to structure lessons and assessments effectively. Ability to adapt teaching methods to various learning styles & requirements. Strong problem-solving and solution-seeking mindset. Openness to constructive feedback and a commitment to continuous improvement. A sense of ownership, initiative, and drive for delivering high-quality teaching outcomes. Familiarity with software tools for mathematical analysis or graph representation. Key Responsibilities: Classroom Instruction and Student Support: Deliver daily in-person classroom teaching on mathematics-related courses. Design, develop, and implement industry-aligned learning activities, materials, and resources. Provide personalized learning experiences tailored to each student's needs, offering support throughout the program. Actively resolve student queries and issues, offering mentorship and guidance. Curriculum and Content Development: Contribute to curriculum development and improvements as per requirements. Review student deliverables for accuracy and quality to ensure learning objectives are met. Serve as the primary liaison with partner universities for examinations, student evaluations, and curriculum-related discussions Classroom Management and Teaching: Teach in classrooms of 70–100 students, ensuring high engagement and effective learning outcomes. Continuously develop and demonstrate a teaching philosophy that inspires student learning. Instructor Training and Development: Handle instructor training and upskilling efforts in Mathematics subjects. Conduct training sessions and consolidate instructor performance data for analysis. Provide actionable feedback to instructors to improve teaching quality and content delivery. Content Delivery and Quality Assurance: Ensure effective content delivery management across campuses and support with session quality and student outcomes. Job Overview: Job Type: Full-Time Working Days: 6-Day Week Training Duration: 2 months Willing to relocate to Hyderabad for training - after training posting will be in below locations (Delhi, Jaipur, Pune, Kolhapur, Chennai, Bangalore, Mangalore, Hyderabad) Note: This job description outlines the core responsibilities of the Senior Mathematics Instructor (Full-Time) role at NIAT. Additional duties may be assigned as required to meet the organization's evolving needs.

Mathematics Instructor About NxtWave NxtWave is one of Indias fastest-growing ed-tech startups , revolutionizing the 21st-century job market. NxtWave is transforming youth into highly skilled tech professionals through its CCBP 4.0 programs, regardless of their educational background. NxtWave is founded by Rahul Attuluri (Ex Amazon, IIIT Hyderabad), Sashank Reddy (IIT Bombay) and Anupam Pedarla (IIT Kharagpur). Supported by Orios Ventures, Better Capital, and Marquee Angels, NxtWave raised $33 million in 2023 from Greater Pacific Capital. As an official partner for NSDC (under the Ministry of Skill Development & Entrepreneurship, Govt. of India) and recognized by NASSCOM, NxtWave has earned a reputation for excellence. Some of its prestigious recognitions include: Technology Pioneer 2024 by the World Economic Forum, one of only 100 startups chosen globally Startup Spotlight Award of the Year’ by T-Hub in 2023 ‘Best Tech Skilling EdTech Startup of the Year 2022’ by Times Business Awards ‘The Greatest Brand in Education’ in a research-based listing by URS Media NxtWave Founders Anupam Pedarla and Sashank Gujjula were honoured in the 2 024 Forbes India 30 Under 30 for their contributions to tech education. NxtWave breaks learning barriers by offering vernacular content for better comprehension and retention. NxtWave now has paid subscribers from 650+ districts across India. Its learners are hired by over 2000+ companies including Amazon, Accenture, IBM, Bank of America, TCS, Deloitte and more. Know more about NxtWave: https://www.ccbp.in Read more about us in the news - Economic Times | CNBC | Yourstory | VCCircle About NxtWave Institute of Advanced Technologies (NIAT): NIAT is NxtWave’s flagship 4 Years, on-campus program for Computer Science Education. It is designed to offer one of India’s most advanced industry-aligned curricula. Situated in the heart of Hyderabad's Tech landscape, NIAT’s new-age campus is surrounded by global giants like Google, Microsoft, Apple, Infosys, TCS and many more providing students with unparalleled exposure to the world of technology. At NIAT, world-class software engineers are the mentors who work hand-in-hand with students, ensuring they graduate as industry-ready professionals. With a curriculum that seamlessly integrates real-world tech requirements, NIAT prepares students to thrive in an ever-evolving tech world. NIAT’s 2024-2028 admissions cycle was a massive success, with all seats filling up rapidly with a long waitlist for admissions, further solidifying NIAT’s reputation as the premier destination for aspiring tech leaders. Know more about NxtWave: https://www.ccbp.in Know more about NIAT: https://www.niatindia.com/ Read more about us in the news - Economic Times | CNBC | Yourstory | VCCircle Curriculum Scope: The candidate will have to teach, but not limited to, the following topics. Mathematics for Computer Science Discrete Mathematics Linear Algebra Advanced Calculus Optimization Probability & Statistics Requirements: MSc Maths + NET Cleared in Mathematics. At least 1 year of Previous experience teaching university-level Mathematics courses to Engineering students. (UG level) A strong passion for teaching and mentoring, dedicated to fostering student success Skills (Must Have) : At least 1 year of teaching/training/industry experience in Mathematics at the University Level. Deep understanding of Advanced Engineering Mathematics and its real-world applications. Excellent communication and ability to simplify complex concepts. Passion for mentoring B.Tech students and driving impact. Solid expertise in Discrete Mathematics, Linear Algebra, Optimization, Advanced Calculus, Probability & Statistics, and Mathematical Foundations. Professional fluency in English, with excellent communication and presentation skills. Proficiency in content development using tools like Google Sheets, Google Slides, etc. (Knowledge of the Microsoft 365 stack is a plus). Ability to quickly learn and use technology platforms to interact with students. Empathy, ambition, and the ability to work closely with individuals from diverse backgrounds and cultures. Good to Have : Knowledge of AI/ ML, Data Science, and Optimization. Research exposure/ experience in applying Mathematics in the CSE/ Tech Industry. An innovative approach to problem-solving and adaptability to different learning styles. Strong organizational and time-management skills to structure lessons and assessments effectively. Ability to adapt teaching methods to various learning styles & requirements. Strong problem-solving and solution-seeking mindset. Openness to constructive feedback and a commitment to continuous improvement. A sense of ownership, initiative, and drive for delivering high-quality teaching outcomes. Familiarity with software tools for mathematical analysis or graph representation. Key Responsibilities: Deliver daily in-person classroom training on Mathematics and/or related courses Design, develop, and implement learning activities, materials, and resources that align with industry standards. Provide personalized learning experiences by understanding student needs and delivering tailored support throughout the program. Actively assist and resolve student queries and issues promptly, providing mentorship and guidance. Contribute to curriculum development and improvements based on student feedback and industry trends. Continuously develop and demonstrate a teaching philosophy that inspires student learning. Review student deliverables for accuracy and quality. Handle a class size of 70–100 students, ensuring engagement and effective learning outcomes. Stay current with professional development in both pedagogy and software development practices. Job Overview Job Type: Full-Time Working Days: 6-Day Week Training duration: 2 months Willing to relocate to Hyderabad for training - after training posting will be in below locations (Delhi, Jaipur, Pune, Kolhapur, Chennai, Bangalore, Mangalore, Hyderabad) Note: This job description outlines the core responsibilities of the Mathematics Instructor (Full-Time) role at NIAT. Additional duties may be assigned as required to meet the organization's evolving needs.

Mathematics Instructor About NxtWave NxtWave is one of Indias fastest-growing ed-tech startups , revolutionizing the 21st-century job market. NxtWave is transforming youth into highly skilled tech professionals through its CCBP 4.0 programs, regardless of their educational background. NxtWave is founded by Rahul Attuluri (Ex Amazon, IIIT Hyderabad), Sashank Reddy (IIT Bombay) and Anupam Pedarla (IIT Kharagpur). Supported by Orios Ventures, Better Capital, and Marquee Angels, NxtWave raised $33 million in 2023 from Greater Pacific Capital. As an official partner for NSDC (under the Ministry of Skill Development & Entrepreneurship, Govt. of India) and recognized by NASSCOM, NxtWave has earned a reputation for excellence. Some of its prestigious recognitions include: Technology Pioneer 2024 by the World Economic Forum, one of only 100 startups chosen globally Startup Spotlight Award of the Year’ by T-Hub in 2023 ‘Best Tech Skilling EdTech Startup of the Year 2022’ by Times Business Awards ‘The Greatest Brand in Education’ in a research-based listing by URS Media NxtWave Founders Anupam Pedarla and Sashank Gujjula were honoured in the 2 024 Forbes India 30 Under 30 for their contributions to tech education. NxtWave breaks learning barriers by offering vernacular content for better comprehension and retention. NxtWave now has paid subscribers from 650+ districts across India. Its learners are hired by over 2000+ companies including Amazon, Accenture, IBM, Bank of America, TCS, Deloitte and more. Know more about NxtWave: https://www.ccbp.in Read more about us in the news - Economic Times | CNBC | Yourstory | VCCircle About NxtWave Institute of Advanced Technologies (NIAT): NIAT is NxtWave’s flagship 4 Years, on-campus program for Computer Science Education. It is designed to offer one of India’s most advanced industry-aligned curricula. Situated in the heart of Hyderabad's Tech landscape, NIAT’s new-age campus is surrounded by global giants like Google, Microsoft, Apple, Infosys, TCS and many more providing students with unparalleled exposure to the world of technology. At NIAT, world-class software engineers are the mentors who work hand-in-hand with students, ensuring they graduate as industry-ready professionals. With a curriculum that seamlessly integrates real-world tech requirements, NIAT prepares students to thrive in an ever-evolving tech world. NIAT’s 2024-2028 admissions cycle was a massive success, with all seats filling up rapidly with a long waitlist for admissions, further solidifying NIAT’s reputation as the premier destination for aspiring tech leaders. Know more about NxtWave: https://www.ccbp.in Know more about NIAT: https://www.niatindia.com/ Read more about us in the news - Economic Times | CNBC | Yourstory | VCCircle Curriculum Scope: The candidate will have to teach, but not limited to, the following topics. Mathematics for Computer Science Discrete Mathematics Linear Algebra Advanced Calculus Optimization Probability & Statistics Requirements: MSc Maths + NET Cleared in Mathematics. At least 1 year of Previous experience teaching university-level Mathematics courses to Engineering students. (UG level) A strong passion for teaching and mentoring, dedicated to fostering student success Skills (Must Have) : At least 1 year of teaching/training/industry experience in Mathematics at the University Level. Deep understanding of Advanced Engineering Mathematics and its real-world applications. Excellent communication and ability to simplify complex concepts. Passion for mentoring B.Tech students and driving impact. Solid expertise in Discrete Mathematics, Linear Algebra, Optimization, Advanced Calculus, Probability & Statistics, and Mathematical Foundations. Professional fluency in English, with excellent communication and presentation skills. Proficiency in content development using tools like Google Sheets, Google Slides, etc. (Knowledge of the Microsoft 365 stack is a plus). Ability to quickly learn and use technology platforms to interact with students. Empathy, ambition, and the ability to work closely with individuals from diverse backgrounds and cultures. Good to Have : Knowledge of AI/ ML, Data Science, and Optimization. Research exposure/ experience in applying Mathematics in the CSE/ Tech Industry. An innovative approach to problem-solving and adaptability to different learning styles. Strong organizational and time-management skills to structure lessons and assessments effectively. Ability to adapt teaching methods to various learning styles & requirements. Strong problem-solving and solution-seeking mindset. Openness to constructive feedback and a commitment to continuous improvement. A sense of ownership, initiative, and drive for delivering high-quality teaching outcomes. Familiarity with software tools for mathematical analysis or graph representation. Key Responsibilities: Deliver daily in-person classroom training on Mathematics and/or related courses Design, develop, and implement learning activities, materials, and resources that align with industry standards. Provide personalized learning experiences by understanding student needs and delivering tailored support throughout the program. Actively assist and resolve student queries and issues promptly, providing mentorship and guidance. Contribute to curriculum development and improvements based on student feedback and industry trends. Continuously develop and demonstrate a teaching philosophy that inspires student learning. Review student deliverables for accuracy and quality. Handle a class size of 70–100 students, ensuring engagement and effective learning outcomes. Stay current with professional development in both pedagogy and software development practices. Job Overview Job Type: Full-Time Working Days: 6-Day Week Training duration: 2 months Willing to relocate to Hyderabad for training - after training posting will be in below locations (Delhi, Jaipur, Pune, Kolhapur, Chennai, Bangalore, Mangalore, Hyderabad) Note: This job description outlines the core responsibilities of the Mathematics Instructor (Full-Time) role at NIAT. Additional duties may be assigned as required to meet the organization's evolving needs.

Mathematics Instructor About NxtWave NxtWave is one of Indias fastest-growing ed-tech startups , revolutionizing the 21st-century job market. NxtWave is transforming youth into highly skilled tech professionals through its CCBP 4.0 programs, regardless of their educational background. NxtWave is founded by Rahul Attuluri (Ex Amazon, IIIT Hyderabad), Sashank Reddy (IIT Bombay) and Anupam Pedarla (IIT Kharagpur). Supported by Orios Ventures, Better Capital, and Marquee Angels, NxtWave raised $33 million in 2023 from Greater Pacific Capital. As an official partner for NSDC (under the Ministry of Skill Development & Entrepreneurship, Govt. of India) and recognized by NASSCOM, NxtWave has earned a reputation for excellence. Some of its prestigious recognitions include: Technology Pioneer 2024 by the World Economic Forum, one of only 100 startups chosen globally Startup Spotlight Award of the Year by T-Hub in 2023 ‘Best Tech Skilling EdTech Startup of the Year 2022’ by Times Business Awards ‘The Greatest Brand in Education’ in a research-based listing by URS Media NxtWave Founders Anupam Pedarla and Sashank Gujjula were honoured in the 2 024 Forbes India 30 Under 30 for their contributions to tech education. NxtWave breaks learning barriers by offering vernacular content for better comprehension and retention. NxtWave now has paid subscribers from 650+ districts across India. Its learners are hired by over 2000+ companies including Amazon, Accenture, IBM, Bank of America, TCS, Deloitte and more. Know more about NxtWave: https://www.ccbp.in Read more about us in the news - Economic Times | CNBC | Yourstory | VCCircle About NxtWave Institute of Advanced Technologies (NIAT): NIAT is NxtWave’s flagship 4 Years, on-campus program for Computer Science Education. It is designed to offer one of India’s most advanced industry-aligned curricula. Situated in the heart of Hyderabad's Tech landscape, NIAT’s new-age campus is surrounded by global giants like Google, Microsoft, Apple, Infosys, TCS and many more providing students with unparalleled exposure to the world of technology. At NIAT, world-class software engineers are the mentors who work hand-in-hand with students, ensuring they graduate as industry-ready professionals. With a curriculum that seamlessly integrates real-world tech requirements, NIAT prepares students to thrive in an ever-evolving tech world. NIAT’s 2024-2028 admissions cycle was a massive success, with all seats filling up rapidly with a long waitlist for admissions, further solidifying NIAT’s reputation as the premier destination for aspiring tech leaders. Know more about NxtWave: https://www.ccbp.in Know more about NIAT: https://www.niatindia.com/ Read more about us in the news - Economic Times | CNBC | Yourstory | VCCircle Curriculum Scope: The candidate will have to teach, but not limited to, the following topics. Mathematics for Computer Science Discrete Mathematics Linear Algebra Advanced Calculus Optimization Probability & Statistics Requirements: MSc Maths + NET Cleared in Mathematics. At least 1 year of Previous experience teaching university-level Mathematics courses to Engineering students. (UG level) A strong passion for teaching and mentoring, dedicated to fostering student success Skills (Must Have) : At least 1 year of teaching/training/industry experience in Mathematics at the University Level. Deep understanding of Advanced Engineering Mathematics and its real-world applications. Excellent communication and ability to simplify complex concepts. Passion for mentoring B.Tech students and driving impact. Solid expertise in Discrete Mathematics, Linear Algebra, Optimization, Advanced Calculus, Probability & Statistics, and Mathematical Foundations. Professional fluency in English, with excellent communication and presentation skills. Proficiency in content development using tools like Google Sheets, Google Slides, etc. (Knowledge of the Microsoft 365 stack is a plus). Ability to quickly learn and use technology platforms to interact with students. Empathy, ambition, and the ability to work closely with individuals from diverse backgrounds and cultures. Good to Have : Knowledge of AI/ ML, Data Science, and Optimization. Research exposure/ experience in applying Mathematics in the CSE/ Tech Industry. An innovative approach to problem-solving and adaptability to different learning styles. Strong organizational and time-management skills to structure lessons and assessments effectively. Ability to adapt teaching methods to various learning styles & requirements. Strong problem-solving and solution-seeking mindset. Openness to constructive feedback and a commitment to continuous improvement. A sense of ownership, initiative, and drive for delivering high-quality teaching outcomes. Familiarity with software tools for mathematical analysis or graph representation. Key Responsibilities: Deliver daily in-person classroom training on Mathematics and/or related courses Design, develop, and implement learning activities, materials, and resources that align with industry standards. Provide personalized learning experiences by understanding student needs and delivering tailored support throughout the program. Actively assist and resolve student queries and issues promptly, providing mentorship and guidance. Contribute to curriculum development and improvements based on student feedback and industry trends. Continuously develop and demonstrate a teaching philosophy that inspires student learning. Review student deliverables for accuracy and quality. Handle a class size of 70–100 students, ensuring engagement and effective learning outcomes. Stay current with professional development in both pedagogy and software development practices. Job Overview Job Type: Full-Time Working Days: 6-Day Week Training duration: 2 months Willing to relocate to Hyderabad for training - after training posting will be in below locations (Delhi, Jaipur, Pune, Kolhapur, Chennai, Bangalore, Mangalore, Hyderabad) Note: This job description outlines the core responsibilities of the Mathematics Instructor (Full-Time) role at NIAT. Additional duties may be assigned as required to meet the organization's evolving needs.

Mathematics Instructor About NxtWave NxtWave is one of Indias fastest-growing ed-tech startups , revolutionizing the 21st-century job market. NxtWave is transforming youth into highly skilled tech professionals through its CCBP 4.0 programs, regardless of their educational background. NxtWave is founded by Rahul Attuluri (Ex Amazon, IIIT Hyderabad), Sashank Reddy (IIT Bombay) and Anupam Pedarla (IIT Kharagpur). Supported by Orios Ventures, Better Capital, and Marquee Angels, NxtWave raised $33 million in 2023 from Greater Pacific Capital. As an official partner for NSDC (under the Ministry of Skill Development & Entrepreneurship, Govt. of India) and recognized by NASSCOM, NxtWave has earned a reputation for excellence. Some of its prestigious recognitions include: Technology Pioneer 2024 by the World Economic Forum, one of only 100 startups chosen globally Startup Spotlight Award of the Year by T-Hub in 2023 ‘Best Tech Skilling EdTech Startup of the Year 2022’ by Times Business Awards ‘The Greatest Brand in Education’ in a research-based listing by URS Media NxtWave Founders Anupam Pedarla and Sashank Gujjula were honoured in the 2 024 Forbes India 30 Under 30 for their contributions to tech education. NxtWave breaks learning barriers by offering vernacular content for better comprehension and retention. NxtWave now has paid subscribers from 650+ districts across India. Its learners are hired by over 2000+ companies including Amazon, Accenture, IBM, Bank of America, TCS, Deloitte and more. Know more about NxtWave: https://www.ccbp.in Read more about us in the news - Economic Times | CNBC | Yourstory | VCCircle About NxtWave Institute of Advanced Technologies (NIAT): NIAT is NxtWave’s flagship 4 Years, on-campus program for Computer Science Education. It is designed to offer one of India’s most advanced industry-aligned curricula. Situated in the heart of Hyderabad's Tech landscape, NIAT’s new-age campus is surrounded by global giants like Google, Microsoft, Apple, Infosys, TCS and many more providing students with unparalleled exposure to the world of technology. At NIAT, world-class software engineers are the mentors who work hand-in-hand with students, ensuring they graduate as industry-ready professionals. With a curriculum that seamlessly integrates real-world tech requirements, NIAT prepares students to thrive in an ever-evolving tech world. NIAT’s 2024-2028 admissions cycle was a massive success, with all seats filling up rapidly with a long waitlist for admissions, further solidifying NIAT’s reputation as the premier destination for aspiring tech leaders. Know more about NxtWave: https://www.ccbp.in Know more about NIAT: https://www.niatindia.com/ Read more about us in the news - Economic Times | CNBC | Yourstory | VCCircle Curriculum Scope: The candidate will have to teach, but not limited to, the following topics. Mathematics for Computer Science Discrete Mathematics Linear Algebra Advanced Calculus Optimization Probability & Statistics Requirements: MSc Maths + NET Cleared in Mathematics. At least 1 year of Previous experience teaching university-level Mathematics courses to Engineering students. (UG level) A strong passion for teaching and mentoring, dedicated to fostering student success Skills (Must Have) : At least 1 year of teaching/training/industry experience in Mathematics at the University Level. Deep understanding of Advanced Engineering Mathematics and its real-world applications. Excellent communication and ability to simplify complex concepts. Passion for mentoring B.Tech students and driving impact. Solid expertise in Discrete Mathematics, Linear Algebra, Optimization, Advanced Calculus, Probability & Statistics, and Mathematical Foundations. Professional fluency in English, with excellent communication and presentation skills. Proficiency in content development using tools like Google Sheets, Google Slides, etc. (Knowledge of the Microsoft 365 stack is a plus). Ability to quickly learn and use technology platforms to interact with students. Empathy, ambition, and the ability to work closely with individuals from diverse backgrounds and cultures. Good to Have : Knowledge of AI/ ML, Data Science, and Optimization. Research exposure/ experience in applying Mathematics in the CSE/ Tech Industry. An innovative approach to problem-solving and adaptability to different learning styles. Strong organizational and time-management skills to structure lessons and assessments effectively. Ability to adapt teaching methods to various learning styles & requirements. Strong problem-solving and solution-seeking mindset. Openness to constructive feedback and a commitment to continuous improvement. A sense of ownership, initiative, and drive for delivering high-quality teaching outcomes. Familiarity with software tools for mathematical analysis or graph representation. Key Responsibilities: Deliver daily in-person classroom training on Mathematics and/or related courses Design, develop, and implement learning activities, materials, and resources that align with industry standards. Provide personalized learning experiences by understanding student needs and delivering tailored support throughout the program. Actively assist and resolve student queries and issues promptly, providing mentorship and guidance. Contribute to curriculum development and improvements based on student feedback and industry trends. Continuously develop and demonstrate a teaching philosophy that inspires student learning. Review student deliverables for accuracy and quality. Handle a class size of 70–100 students, ensuring engagement and effective learning outcomes. Stay current with professional development in both pedagogy and software development practices. Job Overview Job Type: Full-Time Working Days: 6-Day Week Training duration: 2 months Willing to relocate to Hyderabad for training - after training posting will be in below locations (Delhi, Jaipur, Pune, Kolhapur, Chennai, Bangalore, Mangalore, Hyderabad) Note: This job description outlines the core responsibilities of the Mathematics Instructor (Full-Time) role at NIAT. Additional duties may be assigned as required to meet the organization's evolving needs.

Mathematics Instructor About NxtWave NxtWave is one of Indias fastest-growing ed-tech startups , revolutionizing the 21st-century job market. NxtWave is transforming youth into highly skilled tech professionals through its CCBP 4.0 programs, regardless of their educational background. NxtWave is founded by Rahul Attuluri (Ex Amazon, IIIT Hyderabad), Sashank Reddy (IIT Bombay) and Anupam Pedarla (IIT Kharagpur). Supported by Orios Ventures, Better Capital, and Marquee Angels, NxtWave raised $33 million in 2023 from Greater Pacific Capital. As an official partner for NSDC (under the Ministry of Skill Development & Entrepreneurship, Govt. of India) and recognized by NASSCOM, NxtWave has earned a reputation for excellence. Some of its prestigious recognitions include: Technology Pioneer 2024 by the World Economic Forum, one of only 100 startups chosen globally Startup Spotlight Award of the Year by T-Hub in 2023 ‘Best Tech Skilling EdTech Startup of the Year 2022’ by Times Business Awards ‘The Greatest Brand in Education’ in a research-based listing by URS Media NxtWave Founders Anupam Pedarla and Sashank Gujjula were honoured in the 2 024 Forbes India 30 Under 30 for their contributions to tech education. NxtWave breaks learning barriers by offering vernacular content for better comprehension and retention. NxtWave now has paid subscribers from 650+ districts across India. Its learners are hired by over 2000+ companies including Amazon, Accenture, IBM, Bank of America, TCS, Deloitte and more. Know more about NxtWave: https://www.ccbp.in Read more about us in the news - Economic Times | CNBC | Yourstory | VCCircle About NxtWave Institute of Advanced Technologies (NIAT): NIAT is NxtWave’s flagship 4 Years, on-campus program for Computer Science Education. It is designed to offer one of India’s most advanced industry-aligned curricula. Situated in the heart of Hyderabad's Tech landscape, NIAT’s new-age campus is surrounded by global giants like Google, Microsoft, Apple, Infosys, TCS and many more providing students with unparalleled exposure to the world of technology. At NIAT, world-class software engineers are the mentors who work hand-in-hand with students, ensuring they graduate as industry-ready professionals. With a curriculum that seamlessly integrates real-world tech requirements, NIAT prepares students to thrive in an ever-evolving tech world. NIAT’s 2024-2028 admissions cycle was a massive success, with all seats filling up rapidly with a long waitlist for admissions, further solidifying NIAT’s reputation as the premier destination for aspiring tech leaders. Know more about NxtWave: https://www.ccbp.in Know more about NIAT: https://www.niatindia.com/ Read more about us in the news - Economic Times | CNBC | Yourstory | VCCircle Curriculum Scope: The candidate will have to teach, but not limited to, the following topics. Mathematics for Computer Science Discrete Mathematics Linear Algebra Advanced Calculus Optimization Probability & Statistics Requirements: MSc Maths + NET Cleared in Mathematics. At least 1 year of Previous experience teaching university-level Mathematics courses to Engineering students. (UG level) A strong passion for teaching and mentoring, dedicated to fostering student success Skills (Must Have) : At least 1 year of teaching/training/industry experience in Mathematics at the University Level. Deep understanding of Advanced Engineering Mathematics and its real-world applications. Excellent communication and ability to simplify complex concepts. Passion for mentoring B.Tech students and driving impact. Solid expertise in Discrete Mathematics, Linear Algebra, Optimization, Advanced Calculus, Probability & Statistics, and Mathematical Foundations. Professional fluency in English, with excellent communication and presentation skills. Proficiency in content development using tools like Google Sheets, Google Slides, etc. (Knowledge of the Microsoft 365 stack is a plus). Ability to quickly learn and use technology platforms to interact with students. Empathy, ambition, and the ability to work closely with individuals from diverse backgrounds and cultures. Good to Have : Knowledge of AI/ ML, Data Science, and Optimization. Research exposure/ experience in applying Mathematics in the CSE/ Tech Industry. An innovative approach to problem-solving and adaptability to different learning styles. Strong organizational and time-management skills to structure lessons and assessments effectively. Ability to adapt teaching methods to various learning styles & requirements. Strong problem-solving and solution-seeking mindset. Openness to constructive feedback and a commitment to continuous improvement. A sense of ownership, initiative, and drive for delivering high-quality teaching outcomes. Familiarity with software tools for mathematical analysis or graph representation. Key Responsibilities: Deliver daily in-person classroom training on Mathematics and/or related courses Design, develop, and implement learning activities, materials, and resources that align with industry standards. Provide personalized learning experiences by understanding student needs and delivering tailored support throughout the program. Actively assist and resolve student queries and issues promptly, providing mentorship and guidance. Contribute to curriculum development and improvements based on student feedback and industry trends. Continuously develop and demonstrate a teaching philosophy that inspires student learning. Review student deliverables for accuracy and quality. Handle a class size of 70–100 students, ensuring engagement and effective learning outcomes. Stay current with professional development in both pedagogy and software development practices. Job Overview Job Type: Full-Time Working Days: 6-Day Week Training duration: 2 months (Hyderabad) * Willing to relocate to Hyderabad for training - after training posting will be in below locations (Delhi, Jaipur, Pune, Kolhapur, Chennai, Bangalore, Mangalore, Hyderabad) Note: This job description outlines the core responsibilities of the Mathematics Instructor (Full-Time) role at NIAT. Additional duties may be assigned as required to meet the organization's evolving needs.

Mathematics Instructor About NxtWave NxtWave is one of Indias fastest-growing ed-tech startups , revolutionizing the 21st-century job market. NxtWave is transforming youth into highly skilled tech professionals through its CCBP 4.0 programs, regardless of their educational background. NxtWave is founded by Rahul Attuluri (Ex Amazon, IIIT Hyderabad), Sashank Reddy (IIT Bombay) and Anupam Pedarla (IIT Kharagpur). Supported by Orios Ventures, Better Capital, and Marquee Angels, NxtWave raised $33 million in 2023 from Greater Pacific Capital. As an official partner for NSDC (under the Ministry of Skill Development & Entrepreneurship, Govt. of India) and recognized by NASSCOM, NxtWave has earned a reputation for excellence. Some of its prestigious recognitions include: Technology Pioneer 2024 by the World Economic Forum, one of only 100 startups chosen globally Startup Spotlight Award of the Year by T-Hub in 2023 ‘Best Tech Skilling EdTech Startup of the Year 2022’ by Times Business Awards ‘The Greatest Brand in Education’ in a research-based listing by URS Media NxtWave Founders Anupam Pedarla and Sashank Gujjula were honoured in the 2 024 Forbes India 30 Under 30 for their contributions to tech education. NxtWave breaks learning barriers by offering vernacular content for better comprehension and retention. NxtWave now has paid subscribers from 650+ districts across India. Its learners are hired by over 2000+ companies including Amazon, Accenture, IBM, Bank of America, TCS, Deloitte and more. Know more about NxtWave: https://www.ccbp.in Read more about us in the news - Economic Times | CNBC | Yourstory | VCCircle About NxtWave Institute of Advanced Technologies (NIAT): NIAT is NxtWave’s flagship 4 Years, on-campus program for Computer Science Education. It is designed to offer one of India’s most advanced industry-aligned curricula. Situated in the heart of Hyderabad's Tech landscape, NIAT’s new-age campus is surrounded by global giants like Google, Microsoft, Apple, Infosys, TCS and many more providing students with unparalleled exposure to the world of technology. At NIAT, world-class software engineers are the mentors who work hand-in-hand with students, ensuring they graduate as industry-ready professionals. With a curriculum that seamlessly integrates real-world tech requirements, NIAT prepares students to thrive in an ever-evolving tech world. NIAT’s 2024-2028 admissions cycle was a massive success, with all seats filling up rapidly with a long waitlist for admissions, further solidifying NIAT’s reputation as the premier destination for aspiring tech leaders. Know more about NxtWave: https://www.ccbp.in Know more about NIAT: https://www.niatindia.com/ Read more about us in the news - Economic Times | CNBC | Yourstory | VCCircle Curriculum Scope: The candidate will have to teach, but not limited to, the following topics. Mathematics for Computer Science Discrete Mathematics Linear Algebra Advanced Calculus Optimization Probability & Statistics Requirements: MSc Maths + NET Cleared in Mathematics. At least 1 year of Previous experience teaching university-level Mathematics courses to Engineering students. (UG level) A strong passion for teaching and mentoring, dedicated to fostering student success Skills (Must Have) : At least 1 year of teaching/training/industry experience in Mathematics at the University Level. Deep understanding of Advanced Engineering Mathematics and its real-world applications. Excellent communication and ability to simplify complex concepts. Passion for mentoring B.Tech students and driving impact. Solid expertise in Discrete Mathematics, Linear Algebra, Optimization, Advanced Calculus, Probability & Statistics, and Mathematical Foundations. Professional fluency in English, with excellent communication and presentation skills. Proficiency in content development using tools like Google Sheets, Google Slides, etc. (Knowledge of the Microsoft 365 stack is a plus). Ability to quickly learn and use technology platforms to interact with students. Empathy, ambition, and the ability to work closely with individuals from diverse backgrounds and cultures. Good to Have : Knowledge of AI/ ML, Data Science, and Optimization. Research exposure/ experience in applying Mathematics in the CSE/ Tech Industry. An innovative approach to problem-solving and adaptability to different learning styles. Strong organizational and time-management skills to structure lessons and assessments effectively. Ability to adapt teaching methods to various learning styles & requirements. Strong problem-solving and solution-seeking mindset. Openness to constructive feedback and a commitment to continuous improvement. A sense of ownership, initiative, and drive for delivering high-quality teaching outcomes. Familiarity with software tools for mathematical analysis or graph representation. Key Responsibilities: Deliver daily in-person classroom training on Mathematics and/or related courses Design, develop, and implement learning activities, materials, and resources that align with industry standards. Provide personalized learning experiences by understanding student needs and delivering tailored support throughout the program. Actively assist and resolve student queries and issues promptly, providing mentorship and guidance. Contribute to curriculum development and improvements based on student feedback and industry trends. Continuously develop and demonstrate a teaching philosophy that inspires student learning. Review student deliverables for accuracy and quality. Handle a class size of 70–100 students, ensuring engagement and effective learning outcomes. Stay current with professional development in both pedagogy and software development practices. Job Overview Job Type: Full-Time Working Days: 6-Day Week Training duration: 2 months (Hyderabad) * Willing to relocate to Hyderabad for training - after training posting will be in below locations (Delhi, Jaipur, Pune, Kolhapur, Chennai, Bangalore, Mangalore, Hyderabad) Note: This job description outlines the core responsibilities of the Mathematics Instructor (Full-Time) role at NIAT. Additional duties may be assigned as required to meet the organization's evolving needs.

As a Data Sciences Expert, you must possess an excellent understanding of machine learning techniques and algorithms, including k-NN, Naive Bayes, SVM, Decision Forests, among others. It is crucial to have experience with common data science toolkits like R, NumPy, etc., and proficiency in at least one of these is highly desirable. Additionally, familiarity with data visualization tools such as D3.js, Matplot, etc., is essential for this role. You should also have hands-on experience with NoSQL databases like MongoDB. Strong applied statistics skills, including knowledge of distributions, statistical testing, regression, are required to excel in this position. A solid foundation in Linear Algebra, Discrete Mathematics, and Probability is essential for effectively tackling the challenges associated with data science projects.,

You will be joining Crimson AI as a Senior Research Engineer (Natural Language Processing) with at least 2 years of NLP production-level experience. In this role, you will be responsible for identifying and implementing the best data-driven methodologies in alignment with the product requirements. Your primary responsibilities will include designing, developing, and implementing advanced data-driven approaches utilizing NLP, machine learning algorithms, text mining, and more. It is essential to stay updated with recent and relevant research works, working on NLP-ML model deployment and updates, optimizing algorithm and code design, conducting high-quality Test-driven development, estimating deadlines accurately, and benchmarking. To excel in this role, you must have demonstrated solid research engineering skills in NLP problems through platforms such as Kaggle, popular GitHub open-source projects, or Google Summer of Code (GSoC). A strong foundation in mathematics and statistics, specifically in linear algebra, probability theory, regression modeling, and mathematical logic, is essential. Proficiency in Tensorflow, Keras, Pytorch, Python, Python frameworks, ASGI servers, RDBMS, NoSQL databases, data structures, algorithms, design patterns, OOP concepts, RESTful API, micro-server architecture, NLP libraries, ML libraries, text manipulations, regex, and text cleaning is also required. An added advantage would be proficiency in Cython, C, C++, and having publications in top-tier venues. Your passion for publication and dedication to staying at the forefront of AI technologies will be key to success in this role at Crimson AI.,

The ML Solutions team within Markets OPS Technology is dedicated to developing solutions using Artificial Intelligence, Machine Learning, and Generative AI. This team is a leader in creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and Other Line of Businesses. We work closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence. The ML Solutions team is seeking a Data Scientist/Machine Learning Engineer to drive the design, development, and deployment of innovative AI/ML and GenAI-based solutions. In this hands-on role, you will leverage your expertise to create a variety of AI models, guiding a team from initial concept to successful production. A key aspect involves mentoring team members and fostering their growth. You will collaborate closely with business partners and stakeholders, championing the adoption of these advanced technologies to enhance client experiences, deliver tangible value to our customers, and ensure adherence to regulatory requirements through cutting-edge technical solutions. This position offers a unique opportunity to shape the future of our AI initiatives and make a significant impact on the organization. Key Responsibilities: - **Hands-On Execution and Delivery:** Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks. - **Mentoring Young Talents:** Mentoring the team, guiding data analysts/ML engineers from concept to production. This involves fostering technical growth, providing project oversight, and ensuring adherence to best practices, ultimately building a high-performing and innovative team. - **Quality Control:** Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation. - **Research and Development:** Participate in research activities to explore and advance state-of-the-art generative AI techniques. Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field. - **Cross-Functional Collaboration:** Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services. Skills & Qualifications: - 8 to 13 years of Strong hands-on experience in Machine Learning, delivering complex solutions to production. - Experience with Generative AI technologies essential. - Understanding of concepts like supervised, unsupervised, clustering, embedding. - Knowledge of NLP, Name Entity Recognition, Computer Vision, Transformers, Large Language Models. - In-depth knowledge of deep learning and Generative AI frameworks such as Langchain, Lang Graph, Crew AI, or similar. - Experience with other open-source frameworks/libraries/APIs like Hugging Face Transformers, Spacy, Pandas, scikit-learn, NumPy, OpenCV. - Experience in using Machine Learning/Deep Learning: XGBoost, LightGBM, TensorFlow, PyTorch, Keras. - Proficiency in Python Software Development, following Object-Oriented design patterns and best practices. - Strong background in mathematics: linear algebra, probability, statistics, and optimization. - Experience with evaluation, scoring with frameworks like ML Flow. - Experience with Docker containers and editing a Docker file, experience with K8s is a plus. - Experience with Postgres and Vector DBs a plus. - Excellent problem-solving skills and the ability to think creatively. - Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. - Publications and contributions to the AI research community are a plus. - Masters degree/Ph.D. or equivalent experience in Computer Science, Data Science, Statistics, or a related field. - 8-12 years of experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.,

As a Senior AI Researcher at PureCode Software, you will be a key member of our engineering team based in Hyderabad, India. You will play a crucial role in various software projects revolving around computer vision and AI/ML technologies. PureCode Software has developed a groundbreaking developer tool that leverages Computer Vision and Artificial Intelligence to transform software design images into functional ReactJS code efficiently. Our product has received a significant investment of $2 million USD from a prestigious Silicon Valley venture capitalist, indicating our potential for growth and innovation. Your responsibilities will include conducting research to address challenges in zero-shot code generation for webUI design/screenshot images, exploring cutting-edge large language and multimodal models, and staying updated with developments in deep learning and computer vision. Additionally, you will curate annotated data, execute various Computer Vision tasks, and enhance existing models or develop new algorithms to automate web development processes effectively. The ideal candidate for this role should have at least 5 years of experience in Computer Vision and Machine Learning, with expertise in model compression and inference optimization. Proficiency in linear algebra, optimization theory, and probability theory is essential, along with familiarity with Transformers, generative Diffusion models, and deep learning frameworks such as Keras, Tensorflow, Caffe, and Pytorch. You should possess strong coding skills in C/C++ and Python, enabling you to research, prototype, and implement algorithms for web applications. Preferred qualifications include a Master's or PhD in Computer Science with a focus on computer vision/deep learning or equivalent industrial research experience. Previous experience with shipped products and knowledge of web development tools are advantageous. In return for your contributions, PureCode Software offers a competitive salary and benefits package, a culture dedicated to talent development with biannual promotion cycles and company-sponsored certifications, exposure to cutting-edge technologies, the opportunity to earn company stock options, as well as various insurance coverage including health check-ups, group term life insurance, personal accident insurance, and mediclaim hospitalization insurance for self, spouse, children, and parents. If you are passionate about AI research and web development automation, we invite you to apply for the Senior AI Researcher position at PureCode Software by sending your resume to njalla@purecodesoftware.com or applying through our website.,

Job Description Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. Join our dynamic team in Mumbai/Bengaluru for an exciting opportunity in a fast-paced environment. As an experienced quant, you will partner with the Business to provide insights across roles like derivative quant and electronic trading quant. Collaborate with trading desks, product managers, and technology teams to create analytical tools and ensure regulatory compliance. Benefit from extensive training and unique growth opportunities to advance your career. If you&aposre passionate and ready to make an impact, we want you on our team. As a Quantitative Research Associate/Vice President within the QR team, you will partner with the Business to provide a comprehensive view, develop and maintain sophisticated mathematical models, and collaborate with trading desks, product managers, and technology teams to create analytical tools and quantitative trading models. You will also work with control functions to ensure compliance with regulatory requirements, while benefiting from on-the-job training and growth opportunities. If you are passionate, curious and ready to make an impact, we are looking for you. Job Responsibilities Develop and maintain sophisticated mathematical models to value and hedge financial transactions ranging from vanilla flow products to complex derivative deals Improve the performance of algorithmic trading strategies and promote advanced electronic solutions to our clients worldwide Collaborate with risk functions to develop models for market and credit risk the bank is exposed to, across various lines of business Build cutting-edge methodologies and infrastructure to implement our models in production Required Qualifications, Capabilities And Skills You have a degree in engineering, financial engineering, computer science, mathematics, sciences, statistics, econometrics, or other quantitative fields You have strong quantitative, analytical and problem-solving skills You have a strong background in the following topics calculus, linear algebra, probability, and statistics You demonstrate proficiency in at least one of the object-oriented programming languages, like C++ or Java, and are good at Python You have knowledge of data structures and algorithms You can work independently as well as in a team environment You think strategically and creatively when faced with problems and opportunities Your excellent communication skills, both verbal and written, can engage and influence partners and stakeholders Preferred Qualifications, Capabilities And Skills Markets experience and general trading concepts and terminology is useful to be familiar with Knowledge of different types of financial products and asset classes like Fixed Income, Credit, Commodities, Equities Background in computer algorithms, python, and specialization (or significant coursework) in low level systems (operating systems, compilers, GPUs, etc.) Knowledge of options pricing theory, trading algorithms, financial regulations, stochastic calculus, machine learning, or high-performance computing would be a plus ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the worlds most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgans Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Show more Show less

As an Intern Financial Market Analyst (Quantitative Mathematics) at our location in Jaipur, India, you will be responsible for Strategy Ideation & Prototyping. Your role involves formulating quantitative trading hypotheses based on mathematical constructs such as time-series patterns, stochastic processes, statistical arbitrage, and volatility-based signals. Utilize tools from probability theory, linear algebra, calculus, or signal processing to design rule-based models that respond to market conditions. Explore ideas inspired by physical systems such as mean-reverting dynamics (harmonic oscillators), momentum (inertia), and diffusion, and adapt them into simplified trading signals. Convert mathematical logic into parameterized models with testable conditions and evaluate preliminary strategies using historical data and simplified backtesting tools provided within the internal trading platform. In the collaborative model development aspect of the job, you will work with internal developers to translate logic and conditions into code-compatible formats. You will learn how trading rules are implemented using SDK-based infrastructure and Lua-based scripting. Real-time strategy testing is a crucial part of the role where you deploy your ideas in a test environment, observe their performance using live data, and use feedback to iterate and improve strategy quality and robustness. It is essential to understand practical trading constraints like risk management, execution delays, and edge preservation. This position is ideal for final year students or recent graduates with a strong foundation in logic and analytical thinking and an eagerness to apply theoretical knowledge in real-world financial markets. To be eligible, you should be a final year student or recent graduate in Mathematics, Physics, Engineering, or any quantitative discipline. A strong interest in numbers, logic, and patterns is required, along with a basic understanding of algebra, probability, or statistics. Exposure to coding (e.g., Python, C, or Excel macros) is a bonus but not necessary. Curiosity about markets or decision-making under uncertainty and being self-driven, eager to experiment, and open to feedback are qualities we value. We offer direct market exposure, hands-on learning, mentorship, merit-based growth opportunities, and freedom to explore your ideas. Top performers may get capital allocation and transition into trading roles. The date of joining for this role is July 2025. Candidates who have taken our recruitment process within the last 1 year are not eligible to apply.,

The role of a computer vision engineer involves analyzing RGB and 3D camera streams to identify human key markers such as parental interventions, baby presence, baby sleep states, and health analytics within a resource constrained embedded system. This is achieved by utilizing a combination of classical DSP and neural networks to translate scientific concepts like optical flow, signal extraction, and real-time inference into code that runs on embedded Linux. One of the responsibilities includes leading data collection campaigns by setting up annotated video datasets under various lighting conditions. Analyzing vast amounts of vision data for patterns in both 3D and RGB formats is also a crucial aspect of the role. Additionally, building and refining computer vision pipelines in Python using OpenCV or neural networks to detect and track baby movement, posture, and breathing is essential. Furthermore, the role requires cross-compiling and deploying vision modules to ARM-based SoCs while optimizing for CPU/GPU constraints and power budgets. It would be advantageous for candidates to have 5-8 years of prior experience in computer vision engineering and signal processing. Proficiency in Python and OpenCV for tasks such as image processing, filtering, optical flows, SVD, and PCA is highly desirable. Hands-on experience with deep learning vision frameworks like TensorFlow and PyTorch, as well as model quantization for edge inference, is considered a plus. A strong understanding of traditional DSP techniques and linear algebra is also beneficial for this role.,

As a Senior Autonomous Vehicles Engineer at NVIDIA, you will have the opportunity to contribute to the cutting-edge field of AI-powered autonomous driving technology. You will play a crucial role in designing and implementing robust solutions that utilize map data to enhance autonomous driving capabilities. Your work will involve localizing to and lane planning with map data to create precise and detailed models of the car's surrounding environment. Additionally, you will be responsible for ensuring that algorithms perform effectively across various real-world scenarios and conditions, using both real and synthetic data. A key aspect of your role will be writing efficient, real-time code in C++ and leveraging algorithmic parallelism through GPGPU programming in CUDA. You will be tasked with productizing software for deployment in consumer cars, adhering to automotive quality and safety standards such as MISRA and ISO26262. Your expertise in computer vision, 3D geometry, mapping, localization, and lane planning will be critical in driving the success of our autonomous driving projects. To excel in this role, you should hold a BS, MS, or PhD in Computer Science or possess equivalent experience, along with a minimum of 4 years of proven experience in the field. Strong communication and teamwork skills are essential for collaborating across teams and working closely within a cohesive team environment. Your proficiency in modern C++ programming and a solid foundation in linear algebra and geometric computer vision will be highly valued. If you have significant industry experience in the aforementioned areas, hands-on experience in developing real-time Computer Vision systems, or expertise in CUDA parallel programming, you will stand out as a strong candidate for this position. At NVIDIA, we believe that the development of self-driving cars will be a monumental achievement with the potential to significantly impact global safety by reducing traffic accidents and related fatalities. Join us in our mission to revolutionize autonomous driving technology and make a meaningful contribution to this groundbreaking field. If you are a creative, autonomous thinker who is passionate about pushing the boundaries of innovation, we invite you to be a part of our dynamic team at NVIDIA. JR1981472,