1172 Probability Jobs - Page 22

Now Hiring: Mathematics Instructor Location: On-site – Pune | Sonipat | Bangalore Institution: Newton School of Technology (in collaboration with Ajeenkya DY Patil University & Rishihood University) Experience Required: 3+ years in teaching or industry experience with a focus on Mathematics. 👩‍🏫 Who We're Looking For: Are you passionate about teaching and mentoring the next generation of tech leaders? Do you have a strong foundation in Advanced Engineering Mathematics and love applying it to real-world problems? If yes, Newton School of Technology is the place for you. We’re seeking a full-time Mathematics Instructor to teach, mentor, and guide students across our partner campuses in Pune, Sonipat, and Bangalore . This role blends academic excellence with practical learning, giving you a chance to shape how Mathematics is taught for tech-driven careers. What You’ll Be Doing (Role & Responsibilities): Teach & Inspire: Deliver well-structured lectures and interactive sessions across topics like Calculus, Linear Algebra, Probability & Statistics, Discrete Math , and Optimization . Hands-On Labs: Manage and conduct labs where students apply mathematical concepts to solve technical challenges. Design Curriculum: Collaborate with faculty and industry professionals to update and enrich the course content. Mentor Students: Support students' academic journey, guide projects, and help them apply theory in practice. Collaborate Across Teams: Work with Newton School, university partners, and tech industry experts to bridge classroom learning and job-ready skills. Drive Research & Innovation: Motivate students to explore advanced topics and contribute to real-world research problems. What You Must Bring: Minimum 3+ years of teaching/training or relevant industry experience in Disctrete/Engineering Mathematics. Deep understanding of mathematical foundations and applications in tech domains . Ability to simplify complex topics for diverse learners. Passion for mentoring , with a strong drive to create impact through education. What Will Give You an Edge (Good-to-Have Skills) Prior teaching experience in Computer Science programs. Exposure to applied topics such as Data Science, AI/ML , etc. Qualified as TA or a degree in Maths and Computing. Familiarity with tools like Desmos, GeoGebra , or other visualization platforms. Understanding of modern pedagogy , academic tools, or software development related to math. Why Join Us? (Perks & Culture) 💼 Competitive Salary aligned with industry and academic standards. 🏛️ Modern Infrastructure – Access to well-equipped labs and smart classrooms. 🌱 High-Impact Work – Shape future tech professionals, drive academic innovation. 🤝 Collaborative Environment – Work with some of the best minds in academia and tech. 📚 Continuous Learning – Opportunities to grow within academic leadership or research. About Newton School of Technology Newton School of Technology, in partnership with Ajeenkya DY Patil University and Rishihood University , is on a mission to redefine higher education. We combine strong academic rigor with hands-on industry training to make students employable from day one . 🌐 Learn more: Newton School of Technology If you’re an educator, a mentor, a mathematician—or all three—this role offers the perfect platform to do high-impact work.

Job Description: Associate Quantitative Developer Location: Noida (Onsite) Department: Quantitative Research & Development Reports To: Senior Quantitative Developer Job Type: Full-time employment Role Overview We are seeking a highly motivated Quantitative Developer to join our dynamic team. This role involves developing, backtesting, and optimising quantitative strategies using advanced quantitative techniques. You will work closely with experienced traders and researchers to enhance our proprietary trading models & algorithms and drive innovation in global markets. Key Responsibilities Strategy Development & Backtesting: Design, code, and optimise complex quantitative trading strategies. Quantitative Modelling: Utilise advanced mathematical models, statistical techniques, and machine learning algorithms to improve performance. Data Analysis: Analyse large financial datasets to identify trading opportunities using statistical methods. Collaboration: Work with cross-functional teams to integrate trading models into our platform. Technology Enhancement: Develop Python-based tools and automate trading-related tasks. Regulatory Compliance: Ensure all quantitative models meet accuracy, reliability, and compliance standards. Market Research: Stay updated with financial markets, economic indicators, and trading innovations. Reporting: Prepare detailed reports and presentations on strategy performance for stakeholders. Requirements Education: Bachelor's/Master’s/Ph.D. in Mathematics, Statistics, Computer Science, Financial Engineering, or a related field. Experience: 1+ years of experience in quantitative research or trading strategy development. NISM VIII certification is required. Technical Skills: Proficiency in Python for quantitative modelling and backtesting is a must. Strong understanding of machine learning, probability, and statistical analysis . Familiarity with Mongo DB and C++. Financial Knowledge: Solid understanding of financial markets specially of equities & derivative (F&O) asset pricing, and trading strategies. Problem-Solving Ability: Strong analytical mindset with a passion for quantitative trading. Job Type: Full-time Pay: ₹400,000.00 - ₹600,000.00 per year Benefits: Health insurance Schedule: Monday to Friday Weekend availability Supplemental Pay: Performance bonus Application Question(s): Describe your experience in quantitative development Experience: quantitative trading : 1 year (Required) stock market trading: 1 year (Preferred) License/Certification: NISM-VIII (Required) Work Location: In person

We are looking for a proficient Academic Expert in Engineering Mathematics to deliver high-quality academic support for GATE BT aspirants. The ideal candidate will be responsible for developing comprehensive study materials, solving numerical problems, and conducting interactive online sessions focused on Engineering Mathematics topics relevant to the GATE BT syllabus. Key Responsibilities Content Development & Problem Solving: Develop and review high-quality academic content, including complex numerical problems and detailed solutions in Engineering Mathematics and General Aptitude as per the GATE BT and CSIR NET Life science syllabus Create practice questions, quizzes, and mock tests with step-by-step explanations. Analyze GATE BT exam patterns and curate topic-wise question banks to address key areas. Conceptual Teaching & Online Sessions: Conduct engaging and interactive online lectures, webinars, and doubt-clearing sessions on Engineering Mathematics. Simplify complex mathematical concepts such as Linear Algebra, Calculus, Differential Equations, Probability, and Numerical Methods. Integrate real-world examples and applications to bridge the gap between theory and practical problem-solving. Assessment & Feedback: Assess students’ understanding through periodic assessments and provide constructive feedback. Develop model answers and explanations for assignments and test papers. Guide students in effective problem-solving techniques and time management strategies specific to the GATE BT exam. Content Review & Quality Assurance: Ensure accuracy, clarity, and adherence to GATE BT and CSIR NET Life science standards in all academic content. Stay updated with the latest GATE BT syllabus changes and incorporate relevant topics and question types into study materials. Student Engagement & Mentorship: Create a stimulating learning environment that encourages student participation and interaction. Provide personalized academic guidance, addressing individual student challenges in Engineering Mathematics. Skills & Competencies: Excellent communication and presentation skills. Proficiency in online teaching tools (Zoom, Google Meet, MS Teams) and content creation software (PowerPoint, MS Word, etc.). Strong analytical and problem-solving abilities. Ability to simplify complex mathematical concepts and present them in a student-friendly manner. Preferred Skills: Experience in creating study materials, question banks, and video content for GATE BT or similar exams. Knowledge of online teaching platforms and Learning Management Systems (LMS). Experience in conducting live mock tests and analyzing student performance. Key Requirements: Educational Qualification: Master’s/Ph.D. in Mathematics, Engineering Mathematics, or a related field. Subject Expertise: Strong grasp of core topics in Engineering Mathematics relevant to GATE BT, including: Linear Algebra: Matrix operations, Eigenvalues, Eigenvectors Calculus: Limits, Differentiation, Integration, Multiple Integrals Differential Equations: Ordinary and Partial Differential Equations Probability and Statistics: Probability distributions, Random Variables, Hypothesis Testing Numerical Methods: Iterative methods, Error analysis, Interpolation General aptitude Experience: Minimum 2 years of experience in teaching Engineering Mathematics, preferably for GATE and general aptitude or other competitive exams. Proven ability to solve complex mathematical problems and effectively explain step-by-step solutions.

Applications are invited for one position of project associate (PA)-I for a project entitled, “Distributionally Robust Constrained Reinforcement Learning with Function Approximation” at IIT Kanpur. The project is supported by the Prime Minister Early Career Research Grant (PMECRG), funded by the Anusandhan National Research Foundation (ANRF). About the Project : The project is on deep robust reinforcement learning with applications in wireless communications. Techniques and tools related to reinforcement learning (RL), optimization, wireless communications, and stochastic processes will be utilized to explore relevant questions. A portion of the project will be dedicated to implementing the developed algorithms on USRP-based wireless testbeds. The selected candidates will gain hands-on experience as well as exposure to the theoretical aspects of the field. Duration : The candidate will be initially selected for one year, which can later be extended up to three years, or the completion of the project, whichever is earlier, based on performance. Monthly Emolument : Rs. 37,000/- + HRA. Essential Qualifications : B. Tech./M. Tech. in EE/CSE/ECE or allied areas with GATE qualification. Desirable Qualifications : 1. Good coding skills in Python/MATLAB. 2. Experience with RL/DL models and their deployment. 3. Conceptual clarity in basic probability, statistics, linear algebra, optimization. 4. Publication records in EE/ECE/CS or allied areas is a plus. 5. Experience on working with wireless testbed is a plus. Application Procedure : Please fill the following form by 15 July 2025. https://forms.gle/1Pmz2P2EmRy2nADN7 Dr. Washim Uddin Mondal Principal Investigator (PI) Department of Electrical Engineering IIT Kanpur

We want to shape the future with vision and innovation. Be part of it and develop your full potential! As part of the global NTT DATA Group, one of the most successful IT service providers in the world, we specialize in value-added SAP solutions as NTT DATA Business Solutions. With over 16,000 employees in more than 30 countries, we design, implement, and develop custom-fit SAP solutions for our global customers. Would you like to take the next step in your career and be part of our highly qualified team? Are you ready to break new ground? Job Title: Backoffice & Support for Global Bid Assurance and Sales Analytics Experience: 2 to 5 Years Job Location: Hyderabad Role Overview : The Backoffice for the Global Bid Assurance Team helps local bid teams adhere to NDBS' global xAP approval process. This supporting role involves providing clarification to local bid teams for opportunities that meet the criteria for the xAP approval process and assisting local bid teams in gathering and uploading the necessary approval documentation. This role also includes analysis of sales data to improve the win probability and ensure quality delivery, and optimization of the internal approval processes. Key Responsibilities : Ensure adherence to global xAP approval requirements, including necessary approval levels, documents, templates, and timelines. Comprehend the global xAP process and provide clarification for any inquiries from local bid teams. Offer assistance and direction to local bid teams. Ensure the SPO information, such as close date and TCV, is updated to match our sales tool (C4C). Report back to the GBA team for follow-up with the respective countries to clarify any discrepancies in the information. Implement manual corrections and additions to the SPO list as directed by the Global Bid Assurance Team. Begin collecting data for the monthly CAP3 Executive Board report and update the report as necessary. Follow the specified format and verify opportunity details against C4C. Provide inputs to sales process improvement of the organization Collect and analyze sales data to improve the win probability e.g. win/lose review Help ensure quality delivery by constantly obtaining information of won CAP2/CAP3 project delivery, and utilize for future deal approvals Analyze sales data to identify trends, forecast performance, and support strategic planning, including conducting win/loss analysis and customer segmentation. Develop and maintain dashboards, reports, and Key Performance Indicators (KPIs) to monitor team performance and market dynamics, ensuring a holistic view of target groups, potential, and outcomes for strategic positioning Collaborate with Sales, Marketing, and Finance to evaluate pipeline health, territory performance, and campaign effectiveness. Orchestrate and develop highly targeted demand generation initiatives and campaigns, leveraging internal tools like Modelyzr to improve market coverage and identify optimal target groups. Qualifications : Associate's degree or similar, in Business Administration, Presales, Marketing, or a related field. At least 2- 5 years of experience in bid management or a similar role, ideally in presales, preferably globally. Basic knowledge of bid management principles, practices, and tools. Strong background in demand generation, sales planning, and market analysis, preferably within a B2B context. Expertise in working with large data bases and utilizing data analytics tools for market segmentation, target group identification, and campaign design. Skills: Project Management: Strong organization, time management, task prioritization, and deadline adherence. Good communication and interpersonal skills, with the ability to work effectively with diverse teams. Language: Proficiency in English is required for this role. Technical Skills: Expertise in relevant software and tools essential for bid management, including MS SharePoint Online, MS Outlook, MS Teams, MS PowerPoint, and MS Excel. Team Player skills: Capability to work collaboratively with Global Bid Assurance members towards a common objective. Attention to Detail: Essential for accuracy, consistency, and proper formatting in documentation. Exceptional analytical skills to identify market potential, track performance gaps, and propose corrective measures.

Date: 20 Jun 2025 Location: Bangalore, KA, IN, 560099 Custom Field 1: Discovery Services Job Title: Bioinformatician Job Location: Bangalore About Syngene: Syngene ( www.syngeneintl.com ) is an innovation-led contract research, development and manufacturing organization offering integrated scientific services from early discovery to commercial supply. At Syngene, safety is at the heart of everything we do personally and professionally. Syngene has placed safety at par with business performance with shared responsibility and accountability, including following safety guidelines, procedures, and SOPs, in letter and spirit Overall adherence to safe practices and procedures of oneself and the teams aligned Contributing to development of procedures, practices and systems that ensures safe operations and compliance to company’s integrity & quality standards Driving a corporate culture that promotes environment, health, and safety (EHS) mindset and operational discipline at the workplace at all times. Ensuring safety of self, teams, and lab/plant by adhering to safety protocols and following environment, health, and safety (EHS) requirements at all times in the workplace. Ensure all assigned mandatory trainings related to data integrity, health, and safety measures are completed on time by all members of the team including self Compliance to Syngene’ s quality standards at all times Hold self and their teams accountable for the achievement of safety goals Govern and Review safety metrics from time to time We are seeking a highly skilled and experienced computational biologist to join our team. The ideal candidate will have a proven track record in multi-omics data analysis. They will be responsible for integrative analyses and contributing to the development of novel computational approaches to uncover biological insights. Experience: 1-4 years Core Purpose of the Role To support data-driven biological research by performing computational analysis of omics data, and generating translational insights through bioinformatics tools and pipelines. Position Responsibilities Conduct comprehensive analyses of multi-omics datasets, including genomics, transcriptomics, proteomics, metabolomics, and epigenomics. Develop computational workflows to integrate various -omics data to generate inference and hypotheses for testing. Conduct differential expression and functional enrichment analyses. Implement and execute data processing workflows and automate the pipelines with best practices for version control, modularization, and documentation. Apply advanced multivariate data analysis techniques, including regression, clustering, and dimensionality reduction, to uncover patterns and relationships in large datasets. Collaborate with researchers, scientists, and other team members to translate computational findings into actionable biological insights. Educational Qualifications Master’s degree in bioinformatics. Mandatory Technical Skills Programming: Proficiency in Python for data analysis, visualization, and pipeline development. Multi-omics analysis: Proven experience in analyzing and integrating multi-omics datasets. Statistics: Knowledge of probability distributions, correlation analysis, and hypothesis testing. Data visualization: Strong understanding of data visualization techniques and tools (e.g., ggplot2, matplotlib, seaborn). Preferred Machine learning: Familiarity with AI/ML concepts Behavioral Skills Excellent communication skills Objective thinking Problem solving Proactivity Syngene Values All employees will consistently demonstrate alignment with our core values Excellence Integrity Professionalism Equal Opportunity Employer It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodations for qualified individuals with disabilities.

Job Description What We Do At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Our global team is a fundamental part of the Prime Brokerage and Clearing Services groups under the Prime Services umbrella within the Securities Division. We drive major business decisions and run business critical systems in the following areas. This role is focused on the buildout of analytics, logic, pricing tools and scalable workflows to incentivize optimal allocation of assets from HF Clients, improve the firm’s funding and capital efficiency, pricing and revenue optimization by analyzing large data sets and building quantitative models. Our teams work closely with securities lending, funding and the synthetics product desk in conducting transactions, and managing risk, identifying trade opportunities to improve our market and wallet share of the client franchise While organized in different teams and locations, we pride ourselves in our teamwork across the globe and teams to find solutions that help our business thrive around the world. Our team members have a wide variety of quantitative academic and cultural! backgrounds. This diversity helps us to find innovative solutions for our complex business problems. It is an exciting time to join our growing team. Basic Qualifications Skills & Experience We’re Looking for Strong academic in a relevant field - Mathematics, Engineering, Computer Science or Physics, including a quantitative understanding of statistics and probability Strong programming skills in a modern programming language (C++, Python, Java or equivalent language) and familiarity with object-oriented design principles Ability to work as part of a global team and deliver results quickly Previous practical experience in solving mathematical/statistical/machine learning problems or data engineering and relevant infrastructure buildout Comfortable working on multiple projects, demonstrating initiative and showing commercial impact Preferred Qualifications Strong written and verbal communication skills Knowledge of financial markets, in particular, understanding of equities and equities financing products, and financial mathematics is a plus Successful track record of building scalable systems with clearly defined SLAs in a financial setting. Entrepreneurial spirit Goldman Sachs Engineering Culture At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

People have been the foundation of Institute’s success At IIIT-H, we provide a diverse, inclusive, fair and transparent work environment facilitating all stakeholders to grow and flourish. We realize that each individual is distinct and unique. Every effort is made in recognizing and respecting individual differences, ensuring that Institute derives maximum benefit through diverse ideas and expertise. Our focus has been to recruit and retain the best and provide an ambience for them to excel. Positions Open Presently, we are in need of faculty in specific domains mentioned in the advertisement. However, we are open to recruit talent from other inter-disciplinary areas throughout the year. Faculty – Maths The International Institute of Information Technology Hyderabad, driven by passion for making a difference through research and teaching seeks highly motivated faculty of any nationality at the level of Professor, Associate Professor &Assistant Professor. Minimum Qualifications A Ph.D with a strong research track record and passion for teaching Core Areas (though not limited to these) are: Engineering Mathematics, Discrete Mathematics, Probability and Statistics, Algebra & Real Analysis Pay Scale In line with MHRD 7th CPC guidelines and other benefits with appropriate Research and Student Support Please mail your resume along with teaching and research statements with covering letter in Word (.doc) or PDF format. Scanned resumes and other formats will not be read by our system.

Position Overview BayOne Solutions is seeking an exceptional AI/ML Engineer to join our innovative technology initiatives that will revolutionize talent acquisition through intelligent automation. This role is critical to developing and implementing cutting-edge AI/ML solutions that will transform core business processes and drive operational excellence. As our AI/ML Engineer, you will architect and deploy sophisticated machine learning models, implement generative AI solutions, and build multimodal AI systems that transform how we connect talent with opportunities. This position offers the opportunity to work with Fortune 500 clients while building scalable AI solutions that will define the future of our technology platform. Key Responsibilities AI/ML Model Development & Implementation (40%) Design and implement advanced machine learning algorithms for candidate-job matching, utilizing semantic understanding and behavioral prediction models Develop natural language processing solutions for job description parsing, candidate profile analysis, and automated content generation Build and optimize recommendation engines that intelligently match candidates to opportunities based on skills, experience, and cultural fit Create predictive models for recruitment outcomes, including candidate success probability and time-to-fill optimization Implement anomaly detection systems for candidate screening and quality assurance Generative AI & Large Language Models (25%) Develop and fine-tune large language models (LLMs) for recruitment-specific applications including automated job description generation, candidate communication, and interview preparation materials Implement RAG (Retrieval-Augmented Generation) systems for intelligent document processing and candidate information extraction Build conversational AI systems for candidate pre-screening, interview scheduling, and engagement campaigns Create prompt engineering solutions and implement advanced generative AI workflows using GPT, LLaMA, and other foundation models Develop multimodal AI applications that process text, voice, and structured data for comprehensive candidate assessment Data Pipeline & Integration (20%) Design and implement robust data pipelines for processing candidate profiles, job descriptions, and recruitment metrics Build ETL processes for integrating multiple data sources including internal systems, critical platforms, and external APIs Develop real-time data processing systems for candidate sourcing and matching operations Implement data quality monitoring and validation systems ensuring high-quality inputs for ML models Create scalable data architectures supporting AI model training, inference, and continuous learning Platform Integration & Deployment (15%) Integrate AI/ML models with the Django-based Recruitment 2.0 platform through RESTfuI APIs and microservices architecture Deploy models to production environments using containerization (Docker) and cloud platforms (Azure/AWS) Implement A/B testing frameworks for model performance evaluation and continuous improvement Build monitoring and alerting systems for model performance, drift detection, and system health Collaborate with full-stack developers to ensure seamless integration of AI capabilities into user- facing applications Required Qualifications Education & Experience Bachelor's degree in Computer Science, Data Science, Machine Learning, or related technical field 2+ years of hands-on experience in machine learning, deep learning, and AI model development Proven track record developing and deploying AI/ML solutions in production environments Experience working with enterprise clients and understanding business requirements for AI applications Technical Skills Programming Languages: Expert-level Python proficiency; experience with C++, SQL, and web technologies ML/AI Frameworks: Advanced experience with TensorFlow, PyTorch, Keras, scikit-learn, and Huggin Face Transformers Generative AI & LLMs: Hands-on experience with GPT models, fine-tuning techniques, prompt engineering, and foundation models NLP & Text Processing: Strong background in natural language processing, text classification, named entity recognition, and semantic analysis Data Processing: Proficiency with NumPy, Pandas, and large-scale data processing frameworks Cloud & DevOps: Experience with Azure/AWS, Docker, Git, and CI/CD pipelines for ML model deployment Databases: Working knowledge of SQL databases, NoSQL systems, and vector databases for AI applications Specialized Experience Experience with multimodal AI systems processing text, audio, and structured data Background in recommendation systems, matching algorithms, and information retrieval Knowledge of automated assessment systems and candidate evaluation methodologies Experience with real-time AI applications and low-latency model serving Understanding of bias detection and fairness in AI systems, particularly for human-oriented applications Preferred Qualifications Master's degree in Machine Learning, AI, or related field Background in developing Al-powered applications for complex business processes Knowledge of federated learning and distributed AI system architectures Experience with document processing, OCR, and information extraction systems Familiarity with enterprise software integration patterns and API development Application Process We are looking for candidates who can start immediately and contribute to our fast-paced, innovative environment. Please submit your resume along with examples of AI/ML projects you've developed, particularly those involving NLP, generative AI, or recommendation systems. Equal Opportunity Employer: Bayone Solutions is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. This position o[fers an exceptional opportunity to shape the[uture of recruitment technology while working with cutting-edge AI systems and enterprise clients. Join us in building the next generation o[talent solutions.

Job description Description: We are seeking a highly skilled and motivated AI developer with an advanced degree in Mathematics to join our dynamic AI and Machine Learning team. The ideal candidate will leverage their strong mathematical background to develop innovative algorithms and models that push the boundaries of artificial intelligence applications. This role requires a deep understanding of theoretical and applied mathematics, as well as the ability to translate complex mathematical concepts into practical solutions. Key Responsibilities · Conduct cutting-edge research in AI and machine learning, focusing on areas such as optimization, statistical modeling, and algorithm development. · Develop & implement new mathematical techniques to enhance existing AI models and algorithms. Decipher the mathematics behind the publicly available AI/ML models and ways to improve upon them · Ability to write pseudo-code for AI models · Collaborate with cross-functional teams, including software engineers, data scientists, and domain experts, to integrate mathematical findings into practical applications. · Analyze large datasets to identify patterns and derive insights using advanced statistical and mathematical methods. · Stay updated with the latest advancements in AI and machine learning, continuously integrating new knowledge into research and development efforts. Required Skills and Qualifications · MS or PhD Engineering/Mathematics/Applied sciences. Fresh graduates preferred. · Strong expertise in areas such as linear algebra, calculus, probability, and statistics. · Proficiency in programming languages commonly used in AI and ML · Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). · Solid understanding of mathematical foundations of machine learning algorithms, including optimization and model evaluation techniques. · Excellent problem-solving skills and the ability to think critically about complex mathematical challenges. · Strong communication skills, both written and verbal, with the ability to explain complex mathematical concepts to non-experts. · Experience in research and development of AI applications in fields such as computer vision, natural language processing, or reinforcement learning · Familiarity with cloud computing platforms and big data technologies (e.g., AWS, Azure). · Clear communication of mathematical models, architecture, pseudo-code development Location Ahmedabad. Work from office. Job Type: Full-time Job Type: Full-time Pay: ₹554,144.65 - ₹990,210.79 per year Schedule: Day shift Work Location: In person Expected Start Date: 27/06/2025

About the Role We are looking for a highly motivated Research Scientist Intern to join our AI/ML research team. You will contribute to cutting-edge research in machine learning, deep learning, natural language processing, or computer vision, helping to develop novel algorithms and publish results in top conferences. Responsibilities Conduct original research in AI/ML, including designing and implementing novel algorithms. Experiment with and evaluate state-of-the-art models on benchmark datasets. Analyze and interpret experimental results to drive improvements. Collaborate closely with research scientists and engineers to translate research findings into product features. Prepare technical reports and contribute to research papers or patents. Stay up-to-date with the latest research trends and breakthroughs in AI/ML. Qualifications Required: Currently pursuing or recently completed a Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Mathematics, or a related field. Strong foundation in machine learning fundamentals and mathematical concepts (linear algebra, probability, statistics). Experience with ML frameworks such as TensorFlow, PyTorch, or JAX. Proficiency in Python and relevant scientific computing libraries (NumPy, Pandas, scikit-learn). Ability to read and implement research papers. Good problem-solving skills and independent thinking. Preferred: Experience with deep learning architectures (CNNs, RNNs, Transformers). Familiarity with natural language processing, computer vision, or reinforcement learning. Published or working towards publishing in AI/ML conferences (NeurIPS, ICML, CVPR, ACL). Familiarity with distributed computing or cloud platforms (AWS, GCP, Azure). What You Will Gain Hands-on experience in AI/ML research at a cutting-edge lab/company. Opportunity to work alongside leading scientists and engineers. Exposure to publishing research and presenting at conferences. Mentorship and professional development in the AI field. Job Type: Internship Contract length: 3 months Pay: ₹5,000.00 - ₹7,000.00 per month Ability to commute/relocate: Indore, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Required) Work Location: In person

About SKF SKF started its operations in India in 1923. Today, SKF provides industry leading automotive and industrial engineered solutions through its five technology-centric platforms: bearings and units, seals, mechatronics, lubrication solutions and services. Over the years the company has evolved from being a pioneer ball bearing manufacturing company to a knowledge-driven engineering company helping customers achieve sustainable and competitive business excellence. SKF's solutions provide sustainable ways for companies across the automotive and industrial sectors to achieve breakthroughs in friction reduction, energy efficiency, and equipment longevity and reliability. With a strong commitment to research-based innovation, SKF India offers customized value-added solutions that integrate all its five technology platforms. To know more, please visit: www.skf.com/in SKF Purpose Statement Together, we re-imagine rotation for a better tomorrow. By creating intelligent and clean solutions for people and the planet JOB DESCRIPTION Position Title: Assistant Manager-Application Engineering Reports To: Team Leader - Application Engineering (Focus Segment). Role Type : Individual Contributor Location: Pune Purpose of the role: Based on customers’ needs, promote SKF know-how and value proposition in line with strategy. Propose technical solutions in collaboration with sales team. Manage technical relationships with customers, including responding to enquiries and evaluating technical risks. Bring a strong technical and segment expertise into the market and be involved in internal and external technical trainings, Site Surveys & Customer Events. Responsibilities: Create application-based segment offerings and support sales team in driving the same across assigned segments. Develop techno-commercial solution for the customer requirements. Create compelling value proposition along with sales team to increase the win probability for the proposals. Provide segment trends, key segment needs, market and competitive information to sales and leadership team. Conduct segment specific training and presentations. Adopt new products and technology to ensure competitiveness. Work as a bridge between Customers / Sales and Design team. Participate actively in Contract review, Design review, Risk assessment. Key Interfaces: Sales Team. Sales Operations Team (Distribution, Customer Service and Project Management) Design Engineering team. Controlling. Manufacturing and Procurement. Quality and Audit KPI’s: On time offer submission – response time as per the due dates. Conversion – offer to order. Organic business growth through solution offerings for customers (X% of orders) Competencies: Knowledge of Lubrication / Hydraulic systems, products, configuration rules (Preferred) Industrial segment application knowledge (Preferred: Mining, Metals, Cement, Power) Technical problem solving, Strong quantitative skills. Piping (Process Piping). Manufacturing drawings. Tools: AutoCAD (P&ID), SAP, C4C (CRM) & O365. Candidate Profile: Education: Bachelor of Engineering or B.Tech (Mechanical domain preferred). Experience: Minimum 5 years of experience in Complex Industrial Sales, Distributor and Key Account management Ability to work with cross-functional team. Strong business acumen, customer focus. Excellent verbal and written communication skills, networking and influencing skills with internal and external stakeholders. If interested, please share your updated profile @ supriya.joshi@skf.com About SKF SKF has been around for more than a century and today we are one of the world’s largest global suppliers of bearings and supporting solutions for rotating equipment. With more than 40,000 employees in around 130 countries, we are truly global. Our products are found everywhere in society. In fact, wherever there is movement, SKF’s solutions might be at work. This means that we are an important part of the everyday lives of people and companies around the world. See more, at www.skf.com.

About Company BDO India LLP (or BDO India) is the India member firm of BDO International. BDO India offers strategic, operational, accounting and tax & regulatory advisory & assistance for both domestic and international organisations across a range of industries. BDO India is led by more than 300 Partners & Directors with a team of over 7000 professionals operating across 12 cities.We expect to grow sizably in the coming 3-5 years, adding various dimensions to our business and multiplying the increasing the current team size multi-fold. About Technology Services In the world of business today, the words ‘disrupt, innovate, and transform’ have become daily goals. For companies to gain recognition, digital transformation is key. It increases profitability & retention, enhances governance, controls & compliance, and overall organization growth. However, most companies struggle to meet their digital transformation goals. At BDO in India, we assist clients in their digital transformation journey, enabling them to realign the way they do business and create more value. Leveraging our deep industry knowledge and extensive experience, our industry experts provide a holistic approach to clients looking for a successful digital transformation. Whether the focus is on automating tax compliance, enhancing customer interaction, increasing profitability through operational excellence, or improving employee experience and retention, we apply a proven framework and methodology that includes professionals with knowledge and experience. Responsibilities Study and transform data science prototypes Design machine learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Requirements and skills Proven experience as a Machine Learning Engineer or similar role Understanding of data structures, data modelling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python Familiarity with LLM models & ChatGPT must have skills. Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills Demonstrable expertise in the area of Machine Learning, Deep Learning, Image Processing, NLP, and predictive & forecasting models. Good understanding or experience of working with Azure ML. Strong experience with advanced SQL and good to have experience in Pyspark. Good understanding or experience of working in Azure cloud platform. Extensive hands-on big data preferably Hadoop, Spark, and NoSQL You are well versed with Python Data Analysis Stack like Pandas, Numpy and Scikit-learn. Curiosity to learn and implement latest developments in the field of AI. Developing algorithms and complex statistical models on large volumes of data. Own the MLOps life cycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management. Highly self-motivated with the ability to work independently, passionate about business & attention to details.

About INDmoney: INDmoney is a fast-growing super finance app revolutionizing the way users manage their investments and finances. As we scale our digital lending vertical, we seek dynamic professionals with a strong background in ML & data science to create, enhance and monitor our risk models and ensure robust underwriting decisions to scale business. Job Summary: We are looking for a Data Scientist, with a hybrid background in Data science, Credit Risk model development, Machine Learning and Data analysis. The ideal candidate will build intelligent, data-driven credit risk models with predictive modeling expertise using machine learning & AI. He will play a key role in refining credit strategies, reducing defaults, and driving healthy loan book growth. Key Responsibilities: Develop, validate, and implement credit risk models using credit bureau data, demographic indicators, transactional behavior, and alternative data sources. Leverage machine learning, Mathematical and statistical techniques to predict borrower behavior, default probability, and fraud risk. Design and refine scorecards and decision engines to automate and scale credit decisions. Monitor loan portfolio performance, identify risk trends, and recommend optimization strategies. Detect and mitigate fraud by spotting suspicious patterns using advanced analytics. Collaborate with Product, and Tech teams to ensure seamless integration of risk models into the lending journey. Stay updated on RBI digital lending guidelines and ensure regulatory compliance across risk models. Qualifications & Skills: Bachelor’s/Master’s degree in Finance, Economics, Data Science, Statistics, or a related field. 3–5 years in Data Science and Credit Risk Analysis. Must have: The candidate must have an experience in using data science for building lending credit risk models Hands-on experience building predictive models for credit risk using tools like Python, R, or similar. Machine Learning · Data Science · · Data Analytics · Python (Programming Language) · Data Visualization · SQL · Statistical Modeling Knowledge of credit bureau reports, financial statement analysis, and alternative credit scoring techniques. Experience with fraud detection models and risk-based pricing strategies is a plus. Strong problem-solving skills and a keen eye for data patterns and business impact.

- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Advertising at Amazon is a fast-growing business that spans across desktop, mobile, video, and connected devices. Amazon Worldwide Advertising enables advertisers to deliver several billion ad impressions everyday to a network of hundreds of thousands of third party publishers as well as Amazon’s owned and operated properties. Viewability and User Engagement (VUE) owns Amazon’s (1P) viewability measurement and Machine Learning model-based prediction of premium ad inventory. Our team consists of JavaScript experts, Back-End engineers, Machine Learning engineers, and Data Scientists who are building technologies to capture viewability of ads, track user engagement with ads, detect fraudulent activity using client side pixels, predict probability of view and engagement at when a bid is placed. The team has very high visibility within the advertising organization and is very active in inventing new solutions to solve complex problems for Amazon and the digital advertising industry. Key job responsibilities We are looking for sharp and talented software engineers who are passionate about front-end technologies and/or AWS technologies and building solutions that are highly scalable, low latency, fault tolerant, cross browser compliant. As an SDE with the VUE team, you will * leverage latest open source technologies and the latest AWS services to process billions of ad impressions, * create solutions that enable efficient ML experimentation and training on distributed systems at incredible scale and speed, * develop components of our client side metrics libraries that helps to capture essential user metrics while serving an impression, and * see your software operate at internet scale, influence the design of key parts of infrastructure, and see how your solutions scale as Amazon’s advertising business continues to grow 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent GenAI development, ML operations, big data analytics skills (SQL, PySpark, etc.) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Organization Overview: 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. Job Description: ML Solutions team is seeking a highly skilled and experienced Data Analytics/Machine Learning Engineer with a strong background in developing and deploying AI/ML models and Gen AI based solutions. In this hands-on role, you will be responsible for taking AI models from concept to production, utilizing traditional AI, generative AI and Large Language Models. You will collaborate closely with business partners and stakeholders to introduce and embrace these advanced technologies, elevating client experiences, delivering value to our customers, and ensuring regulatory compliance through cutting-edge technology solutions. 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. 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. 2-4 years of relevant experience Skills & Qualifications: Strong hands-on experience in Machine Learning, delivering complex solutions to production. Experience with Generative AI technologies essential. Knowledge of NLP, Name Entity Recognition In-depth knowledge of deep learning and Generative AI frameworks such as, Langchain, Lang Graph, Crew AI or similar. Experience with and other open-source frameworks/ libraries/ APIs like Hugging Face Transformers, Spacy, Pandas, scikit-learn, NumPy. Experience in using Machine Learning/Deep Learning: XGBoost, LightGBM, TensorFlow, PyTorch. 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 framework like ML Flow Experience of Docker container and edited 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. Bachelor’s/Master’s degree or equivalent experience in Computer Science, Data Science, Statistics, or a related field. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Kovai.co is a catalyst, sparking a revolution in the world of enterprise software and B2B SaaS, we are a technology powerhouse delivering best-in-class enterprise software and game-changing SaaS solutions across industries. At Kovai.co , we're rewriting the B2B landscape by empowering over 2,500 businesses worldwide with our award-winning SaaS solutions. Our Products Biztalk360 Turbo360 Document360 “UK headquarters. Indian innovation. Global impact.” Our journey has been nothing short of remarkable, having witnessed exponential growth and profitability right from our inception. We are on track towards $30 million in annual revenue – and we're just getting started. Kovai.co is fueled by a tribe of thoughtful helpers, obsessed with empowering customers, uplifting colleagues, and igniting our own journeys. Redefining tech is our game. Are you in? Join Kovai.co – where passion meets purpose. What's the job: Data Scientist What You’ll Do On The Job Understand business problems and formulate hypothesis Collecting and interpreting data, analyzing results, identifying patterns and trends in large data sets Research and develop advanced statistical and machine learning models for analysis of large-scale, high-dimensional data Build custom machine learning models for various use-cases such as recommendation, insight generation, forecasting, anomaly detection, and so on Performing data quality checks for quality assurance Build data pipelines to supply quality data to machine learning model in production environment Supports innovative analytical thinking & solutions that results into improved business performance Writing reports based on insights gained from exploratory data analysis and able to articulate it to product owner Practice industry well-known Machine Learning Framework and best practices Who’ll be a good fit: Proven working experience of 2+ years as a Data Scientist Strong in mathematics - statistics, probability, linear algebra, time series Proficiency in working with large datasets and data wrangling using SQL (Structured Query Language) Familiar with tools such as JuPyteR, Tensorflow ,Python , Azure ML, Prophet (Open source software), MS SQL Server Working knowledge of applied machine learning techniques such as regression, clustering, forecasting of time-series data and Classification models Proficiency in LSTM, hypothesis testing and supervised learning / unsupervised learning. Familiarity with all aspects of the analytical cycle such as data wrangling and visualisation, feature engineering, and model building Write scalable scripts to fetch or modify data from API endpoints Exposure to cloud technology is preferred (Azure) Excellent critical thinking, verbal, and written communication skills Equal Opportunities Kovai.co is committed to building a workforce that reflects the richness of our society. We believe in fostering a culture of belonging and respect for all. Kovai.co stands firmly against discrimination, ensuring equal opportunity for everyone to build a successful career. Submit Your Application You have successfully applied You have errors in applying Apply With Resume * First Name* Middle Name Last Name* Email* Mobile Phone Social Network and Web Links Provide us with links to see some of your work (Git/ Dribble/ Behance/ Pinterest/ Blog/ Medium) Employer Education

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more . Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact. We are seeking Mathematics PhD Expert with a minimum of 1 year of experience to join us as freelancers and contribute to impactful AI training projects. Key Responsibilities: Develop, review, and refine mathematical problems, solutions, and explanations for AI training. Ensure accuracy, clarity, and logical consistency in mathematical data. Evaluate and improve AI-generated mathematical content. Debug and correct errors in AI-driven mathematical reasoning. Collaborate with teams to enhance AI's understanding of mathematical concepts. Required Qualifications: PhD in Mathematics. 1+ year of experience in Mathematics-related fields (Teaching, Research, Data Science, AI Training, etc.). Strong problem-solving and analytical skills. Proficiency in advanced mathematics (Algebra, Calculus, Probability, Statistics, etc.) is a plus. Ability to critically analyze AI-generated outputs and provide constructive feedback. Why Join Us? Flexible hours. Remote opportunity. Shape the future of AI with Soul AI!

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more . Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact. We are seeking SME Mathematic s with Phd degree to join us as freelancer s and contribute to impactful AI training projects. Key Responsibilities : Develop, review, and refin e mathematical problems, solutions, and explanatio ns for AI training. Ensure accuracy, clarity, and logical consistency in mathematical data. Evaluate and improve AI-generated mathematical content. Debug and correct errors in AI-driven mathematical reasoning. Collaborate with teams to enhance AI's understanding of mathematical concept s. Required Qualifications: 1+ year of experie nce in Mathematics-related fields (Teaching, Research, Data Science, AI Training, etc.). Stro ng problem-solving and analyti cal skills. Proficiency in advanced mathemat ics (Algebra, Calculus, Probability, Statistics, etc.) is a plus. Ability to critically analyze AI-generated outp uts and provide constructive feedback. Why Join Us? Flexible hours. Remote opportunity. Shape the future of AI with Soul AI!

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more . Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact. We are seeking Mathematics Msc Exper t with a minimum of 1 year of experienc e to join us as freelancer s and contribute to impactful AI training projects. Key Responsibilities: Develop, review, and refin e mathematical problems, solutions, and explanatio ns for AI training. Ensure accuracy, clarity, and logical consistency in mathematical data. Evaluate and improve AI-generated mathematical content. Debug and correct errors in AI-driven mathematical reasoning. Collaborate with teams to enhance AI's understanding of mathematical concepts. Required Qualifications: Msc in Mathematics. 1+ year of experie nce in Mathematics-related fields (Teaching, Research, Data Science, AI Training, etc). Stro ng problem-solving and analyti cal skills. Proficiency in advanced mathemat ics (Algebra, Calculus, Probability, Statistics, etc.) is a plus. Ability to critically analyze AI-generated outp uts and provide constructive feedback. Why Join Us? Flexible hours. Remote opportunity. Shape the future of AI with Soul AI!

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more . Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact. We are seeking Mathematics Msc Exper t to join us and contribute to impactful AI training projects. Key Responsibilities: Develop, review, and refin e mathematical problems, solutions, and explanatio ns for AI training. Ensure accuracy, clarity, and logical consistency in mathematical data. Evaluate and improve AI-generated mathematical content. Debug and correct errors in AI-driven mathematical reasoning. Collaborate with teams to enhance AI's understanding of mathematical concepts. Required Qualifications: Msc in Mathematics. Stro ng problem-solving and analyti cal skills. Proficiency in advanced mathemat ics (Algebra, Calculus, Probability, Statistics, etc.) is a plus. Ability to critically analyze AI-generated outp uts and provide constructive feedback. Why Join Us? Flexible hours. Remote opportunity. Shape the future of AI with Soul AI!

Mathematics Instructor About NxtWave NxtWave is one of India’s 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. Number systems including Binary, Decimal, Octal, and Hexadecimal, along with conversions between these systems. Understanding signed and unsigned integers, floating-point representation, and bitwise operations such as AND, OR, NOT, XOR, NAND, NOR, and shift operations. Arithmetic operations across number systems, concepts and methods for calculating GCD and LCM, basics of modulo arithmetic, it’s principles. Principles of counting, permutations and combinations (with and without repetition), and their real-life applications. Core probability concepts including basic rules, simple probability, and conditional probability. Matrix representation and operations including addition, multiplication, and determinants. Applications in graph representation and linear transformations. Understanding arithmetic and geometric series along with common summation techniques. Fundamentals of set theory, operations like union, intersection, and difference, usage of Venn diagrams, Cartesian products. Requirements: M.Tech or MSc Maths + NET Cleared or Ph.D in Mathematics. Prior experience in teaching or tutoring Mathematics or related topics is an added advantage. Passion for teaching and mentoring, with a commitment to student success. Skills (Must Have) : Strong understanding of core math topics including number systems, modular arithmetic, combinatorics, probability, matrices, series, and set theory. Professional fluency in English, with excellent communication and presentation skills. Proficiency in content development using tools like Google Sheets, Google Slides, etc. (Knowledge of 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 : 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 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 Salary during Training: 25k per month CTC (After Training): 4 - 7.2 LPA 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.

We seek an experienced mathematician passionate about designing and delivering high-impact casino games to our global customers. You will be part of a Studio with a talented team of PMO, Artists, Game Mathematicians, Game Developers, and Test Engineers. The Studio puts a strong emphasis on quality, individual ownership, and values team players who take pride in developing games. The role involves Game Design of Class 3 & Class 2 casino games for different markets. The role provides the challenge of complexity (Visual design, game mathematics modelling, compliance requirements, etc.) and variety (different cabinets, markets, and languages). Each game is different, and you will be challenged each time. Your work will directly impact the game's delivery to global markets. What You Will Do: Analysis of games requirements with business stakeholders Development of math models for Class 3 & Class 2 slot games - Calculate the probability of the game event. Document game mathematics using Excel-based templates Writes simulations to check math and ensure compliance to jurisdictional requirements Knowledge of C programming language (or equivalent) to check game mathematics and simulate game play Review of math test plan and math testing results. Ensuring the game is compliant with to target market requirements Creating new game concepts Key performance measurements are game quality and time to market What We're Looking For Minimum 2 years of industry experience in Maths or Statistics-related role Basic programming skills in C/C++ under Windows/Linux operating systems Good skills in probability theory and applications Proficient in MS Office tools (MS Excel, MS-doc and PowerPoint) Good understanding of the Software development life cycle Mathematics or Statistics education (MSc, M Tech.) Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V World Leader in Gaming Entertainment Robust benefits package Global career opportunities Our Values All about the Player Talent Unleashed Collective Brilliance Good Business Good Citizen Travel Expectations None Additional Information Depending on the nature of your role, you may be required to register with the Nevada Gaming Control Board (NGCB) and/or other gaming jurisdictions in which we operate. At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

Job Description Potential candidates should have excellent depth and breadth of knowledge in machine learning, data mining, and statistical modeling. They should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Responsibilities Key Roles and Responsibilities of Position: Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Qualifications Minimum Qualifications Bachelor’s degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Plotly, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years' experience in SQL programming language and relational databases. Create visualizations to connect disparate data, find patterns and tell engaging stories. This includes both scientific visualization as well as geographic using software such as Power BI. Preferred Qualifications An MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Google, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills.

- 7+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience - 10+ years of business development, partner development, sales or alliances management experience AWS Sales, Marketing, and Global Services is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Are you interested to join a diverse, inclusive and high-performing team with the mission to increase the probability for startups to be successful? From Airbnb to Zalando, the world's top digital companies started building on AWS. We offer the world’s most comprehensive and broadly adopted cloud platform with dedicated startup programs and more than 200 fully featured services. Millions of customers – including the fastest-growing startups, largest enterprises, and leading government agencies – are using AWS globally to become more agile, innovate faster and lower costs. We are looking for a sales manager with a proven track-record in building and leading highly effective sales teams across multiple countries. You bring passion for innovative startups and latest technology trends, especially GenAI, machine learning (ML), and virtual/augmented reality (VR/AR). Your startup customers strive to become the next unicorns and future enterprises within their domain of Generative AI and advanced ML, which may also intersect with Fintech, Healthcare & Life Sciences, Mobility/Automotive and Enterprise SaaS applications. You should be an autonomous sales manager that brings a hands-on builder mentality, strategic thinking and a sense of urgency for team development and operational excellence. You will be responsible for your own business, maintain C-level relationships with key customers and deliver results by empowering your team to win new startup customers through strategic engagements and scaling initiatives. This role reports into the General Manager of EMEA Startups as part of a cross-functional leadership team, including Sales, Solutions Architecture, Business Development, Partner, Marketing and many more. You should be a self-starter with entrepreneurial spirit and excellent communication skills who can work collaboratively with others and is prepared to work in a fun, fast-paced environment, to execute against ambitious goals and to consistently embrace the Amazon Day 1 Culture. Key job responsibilities Key job responsibilities • Embrace a positive culture in your organization that inspires diversity, inclusion, equity and high performance. • Ensure customer satisfaction through business value creation. • Develop, communicate and execute the go-to-market strategy for your teams to accelerate customer adoption and grow market segment share. • Meet or exceed your quarterly and yearly goals. • Identify, implement, measure and improve critical KPIs that will help maintain a robust business operation. • Act as an executive sponsor in key accounts. • Represent the company in professional events. About the team AWS Sales, Marketing, and Global Services is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. A day in the life Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Experience working with/ for GenAI startups or in AIML domain Experience developing GTM plans for GenAI startups Understanding of GenAI offerings, use cases Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.