1174 Probability Jobs - Page 35

Assistant Professor – Mathematics Specialization: Linear Algebra, Probability, Optimization, Applied Mathematics, Data Science, and Machine Learning Qualification: Ph.D. in Mathematics or relevant field Experience Required: 2–7 years of teaching and/or research experience Position Overview We invite applications for the position of Assistant Professor in the Department of Mathematics , with a focus on emerging and foundational areas such as Linear Algebra, Probability, Optimization, Data Science, and Machine Learning. The selected candidate will contribute to the advancement of academic excellence through impactful teaching, interdisciplinary research, and student mentorship. The role requires a passion for mathematical education, a research-oriented mindset, and a commitment to the integration of modern computational approaches in mathematics. Primary Responsibilities The Assistant Professor will be responsible for delivering undergraduate and postgraduate courses, developing innovative course materials, and supervising student research. Responsibilities also include publishing scholarly articles in reputed journals, applying for research grants, contributing to departmental planning, and participating in academic events. The candidate should demonstrate the ability to bridge mathematical theory with practical and data-driven applications. Key Duties Deliver engaging lectures in core mathematical areas, especially related to data science and computational methods. Design and update course syllabi in line with current academic and industry trends. Supervise final year projects and graduate-level theses. Conduct research in applied mathematics and allied interdisciplinary fields. Collaborate with faculty from engineering, computer science, and analytics departments. Guide students on academic, research, and career matters. Assist in organizing workshops, seminars, and symposia. Contribute to curriculum development and accreditation processes. Participate in academic committees and institutional governance. Essential Qualifications A Ph.D. in Mathematics, Applied Mathematics, Data Science, or a related area. Minimum of 2 years of teaching or research experience at the university level. Strong academic and publication record in high-impact journals. Proven expertise in teaching advanced mathematics and computational applications. Key Competencies In-depth knowledge of: Linear Algebra and Matrix Theory Probability Theory and Statistical Methods Mathematical Optimization and Operations Research Applied Mathematics in Scientific and Engineering Domains Data Science and Machine Learning Foundations Familiarity with programming languages and tools such as Python, MATLAB, R, and LaTeX. Experience with online teaching tools and blended learning platforms. Ability to guide interdisciplinary research and collaborate across departments. Preferred Attributes Evidence of successful research funding or project collaboration. International academic exposure or postdoctoral experience. Prior involvement in academic administration or curriculum innovation. Experience integrating AI/ML into mathematical teaching or research. Show more Show less

About Impetus Impetus Technologies is a digital engineering company focused on delivering expert services and products to help enterprises achieve their transformation goals. We solve the analytics, AI, and cloud puzzle, enabling businesses to drive unmatched innovation and growth. Founded in 1991, we are cloud and data engineering leaders providing solutions to fortune 100 enterprises, headquartered in Los Gatos, California, with development centers in NOIDA, Indore, Gurugram, Bengaluru, Pune, and Hyderabad with over 3000 global team members. We also have offices in Canada and Australia and collaborate with a number of established companies, including American Express, Bank of America, Capital One, Toyota, United Airlines, and Verizon. Job Role- Data Scientist Experience- 3.5+ years Locations- Indore, Bangalore, Pune, Gurgaon, Noida Job Description Hands on experience of working with LLM (Large Language Models) or LangChain and OpenAI in particular. Implementing and fine tuning the AI- generated text prompts using LLMs (eg:-GPT4) Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc. Ability to understand business requirements. Usecase derivation and solution creation from structured/unstructured data Story telling, Business communication and Documentation Programming Skills – Python, Scikit-Learn, TensorFlow, PyTorch, Keras Exploratory Data Analysis Machine Learning and Deep Learning Algorithms Model building, Hyperparameter tuning and Model performance metrics MLOps, Data Pipeline, Data engineering Statistics Knowledge (Probability Distributions, Hypothesis Testing) Time series modeling, Forecasting, Image/Video Analytics, Natural Language Processing (NLP). ML services from Clouds such as AWS, GCP, Azure and Databricks Optional - Big Data -Basic knowledge on Spark, Hive Roles & Responsibilities Acquire skills required for building Machine learning models and deploy them for production. Feature Engineering, EDA, Pipeline creation, Model training and hyperparameter tuning with structured and unstructured data sets. Develop Cloud based applications including LLM/GenAI and deploy them into production. Qualification Degree – Graduates/Postgraduate in CSE/IT or related field Show more Show less

Job Requirements We are seeking an experienced and visionary AI Architect / Subject Matter Expert (SME) to lead the design, development, and deployment of scalable artificial intelligence and machine learning (AI/ML) solutions. The ideal candidate will have deep expertise in AI technologies, hands-on experience in model development, and the ability to translate business challenges into technical strategies. As an AI Architect, you will serve as a strategic advisor, technology leader, and innovation driver, ensuring our AI solutions are impactful, ethical, and aligned with enterprise goals. Roles & Responsibilities Define the AI vision and roadmap aligned with organizational objectives. Design enterprise-grade AI/ML architectures integrating with data pipelines, APIs, cloud services, and business applications. Evaluate and recommend AI platforms, tools, and frameworks. Lead the end-to-end lifecycle of ML models: from data exploration, feature engineering, and training to deployment and monitoring. Work on supervised, unsupervised, and reinforcement learning models, as well as generative AI (LLMs, diffusion models, etc.). Apply deep learning (CNNs, RNNs, Transformers) for use cases in NLP, computer vision, or forecasting. Collaborate with data engineers to build robust data pipelines and preprocessing workflows. Implement MLOps practices for continuous integration, model versioning, retraining, and deployment. Integrate models with cloud services (AWS Sagemaker, Azure ML, GCP Vertex AI, etc.). Ensure AI solutions are transparent, explainable, fair, and compliant with data privacy laws (e.g., GDPR, HIPAA). Establish AI governance policies, including risk assessments, audits, and bias detection mechanisms. Act as a technical SME across AI initiatives, mentoring data scientists, engineers, and analysts. Lead cross-functional teams in developing POCs and MVPs for high-impact AI projects. Collaborate with executives, product managers, and stakeholders to prioritize use cases. Stay abreast of cutting-edge AI research, tools, and industry trends. Drive innovation through rapid prototyping, collaboration with academia/startups, and participation in AI communities. Publish internal white papers or contribute to patents and publications. Work Experience Required Skills Bachelor's or Master’s in Computer Science, AI, Data Science, or related field (PhD preferred). 8+ years in software or data engineering, with 4+ years in AI/ML roles. Proficient in Python and frameworks like TensorFlow, PyTorch, Scikit-learn, or Hugging Face Transformers. Strong grasp of algorithms, statistics, and probability. Experience deploying models in production via REST APIs, batch scoring, or real-time inference. Hands-on with cloud AI services (AWS, Azure, GCP). Experience with data tools: Spark, Kafka, Airflow, Snowflake, etc. Preferred Qualifications Certifications in AI/ML (e.g., AWS Certified Machine Learning, Google Cloud ML Engineer). Experience with LLMs, RAG pipelines, or enterprise chatbot systems. Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS). Contributions to open-source AI projects or academic publications. Experience in regulated industries (healthcare, finance, etc.) applying ethical AI principles. Show more Show less

Job Description As a Data Scientist, you will be part of a high performing team working on exciting opportunities in AI/ML within Ford Credit. We are looking for a seasoned Data Scientist with proven expertise in implementing Machine Learning/Optimization solutions with familiarity in Generative AI and a good grasp of Statistics. Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Responsibilities Ability to scope the problem statement, data preparation, training and making the AI/ML model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Collaborate with data engineers, solutions architects, application engineers, and product teams across time zones to develop data and model pipelines Qualifications Professional Qualification: Potential candidates should possess 3 to 7 years of working experience as a Data Scientist. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on with analytics methods (descriptive/predictive/prescriptive), Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Computer Science with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Show more Show less

Job Title: Subject Matter Expert (SME) – Multiple Subjects Location: ACS Networks & Technologies Pvt. Ltd., Sahastradhara Road, Dehradun, Uttarakhand - 248001 Experience Required: 1+ years (Freshers with strong academic backgrounds may also apply) Employment Type: Full-Time (Work from Office) Department: Education/Training/KPO. Job Summary: ACS Networks & Technologies Pvt. Ltd. is seeking qualified and passionate Subject Matter Experts (SMEs) to contribute to high-quality academic content development and solution writing across various subjects. The ideal candidate should have strong subject knowledge, academic writing skills, and the ability to follow curriculum standards and specific guidelines. Subjects Required: Mechanical Engineering Electrical Engineering Civil Engineering Statistics and Probability Physics Accounts Chemistry Finance Economics Required Skills:  Strong subject knowledge and academic understanding  Excellent written English and content presentation skills  Proficiency in MS Office, Google Docs, or relevant authoring tools Qualifications:  Bachelor’s/Master’s degree in the relevant subject (B.Ed. or teaching background is a plus)  1+ years of experience in academic content creation or teaching preferred  Freshers with exceptional subject command may also be considered What We Offer:  Opportunity to contribute to large-scale EdTech and academic projects  Travel Allowance will be provided  Night Shift Allowance for applicable shifts  OJT (On-the-Job Training) Incentives during training period. Interested Candidates can share their updated CV at manish.rana@acstechnologies.net Job Types: Full-time, Permanent, Fresher Pay: ₹25,000.00 - ₹300,000.00 per month Schedule: Day shift Morning shift Night shift Work Location: In person

About VOIS VO IS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, VO IS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. About VOIS India In 2009, VO IS started operating in India and now has established global delivery centres in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VO IS India supports global markets and group functions of Vodafone, and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Job Description Big Data Handling: Passion and attitude to learn new data practices and tools (ingestion, transformation, governance, security & privacy), on both on-prem and Cloud (AWS preferable). Influences and contributes to innovative ways of unlocking value through companywide and external data Diagnostic Models Experience with diagnostic system using decision theory and causal models (including tools like probability, DAG, ADMG, Deterministic SME, etc) to predict the effects of an action to improve insight-led decisions. Able to productize the diagnostic systems built for reuse. Predictive & Prescriptive Analytics Models Expert in AI solutions - ML, DL, NLP, ES, RL etc. Should be able to build robust prescriptive learning systems that are scalable, real-time. Should be able to determine "Next Best Action" following Prescriptive Analytics. Autonomous Cognitive Systems Drive Autonomous system utility and continuously improve precision through creating the stable learning environment. Should be able to build Intelligent Autonomous Systems to prescribe proactive actions based on ML predictions and solicit feedback from the support functions with minimal human involvement. Big Data Tech, Environments & Frameworks Advanced applications of CNNs, RNNs, MLPs, Deep learning. Excellent application of machine learning and deep learning packages like tensorflow, pytorch, scikit, numpy, pandas, statsmodels theano, XGBoost etc. Demonstrated superior deep learning algorithms/framework. At least 1 certification in AWS will be preferred. Programming: Python, R, SQL Frameworks: TensorFlow, Keras, Scikit-learn Visualization: Tableau, Power BI Cloud: AWS, Azure Statistical Modeling: Regression, classification, clustering, time series Soft Skills: Communication, stakeholder management, problem-solving VOIS Equal Opportunity Employer Commitment India VO IS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, colour, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 10 Best Workplaces for Millennials, Equity, and Inclusion , Top 50 Best Workplaces for Women , Top 25 Best Workplaces in IT & IT-BPM and 10th Overall Best Workplaces in India by the Great Place to Work Institute in 2024. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we’ll be in touch! Show more Show less

About This Role BlackRock Overview: BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary and individual investors around the world. BlackRock offers a range of solutions — from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs. Aladdin Financial Engineering Group (AFE) AFE is a diverse and global team with a keen interest and expertise in all things related to technology and financial analytics. The group is responsible for the research and development of quantitative financial and behavioral models and tools across many different areas – single-security pricing, prepayment models, risk, return attribution, liquidity, optimization and portfolio construction, scenario analysis and simulations, etc. – and covering all asset classes. The group is also responsible for the technology platform that delivers those models to our internal partners and external clients, and their integration with Aladdin. AFE conducts leading research on the areas above, delivering state-of-the-art models. AFE publishes applied scientific research frequently, and our members present regularly at leading industry conferences. AFE engages constantly with the sales team in client visits and meetings. Job Description You can help conduct research to build quantitative financial models and portfolio analytics that help managing most of the money of the world’s largest asset manager. You can bring all yourself to the job. From the top of the firm down we embrace the values, identities and ideas brought by our employees. We are looking for curious people with a strong background in quantitative research, data science and machine learning, have awesome problem-solving skills, insatiable appetite for learning and innovating, adding to BlackRock’s vibrant research culture. If any of this excites you, we are looking to expand our team. We currently have quant researcher role with the AFE Investment AI (IAI) Team. The securities market is undergoing a massive transformation as the industry is embracing machine learning and, more broadly, AI, to help evolve the investment process. Pioneering this journey at BlackRock, the team has better deliver applied AI investment analytics to help both BlackRock and Aladdin clients achieve scale through automation while safeguarding alpha generation. The IAI team combines AI / ML methodology and technology skills with deep subject matter expertise in fixed income, equity, and multi-asset markets, and the buyside investment process. We are building next generation liquidity, security similarity and pricing models leveraging our expertise in quantitative research, data science and machine learning. The models we build use innovative machine learning approaches, have real practical value and are used by traders and portfolio managers alike. Our models use cutting edge econometric/statistical methods and tools. The models themselves have real practical value and are used by traders, portfolio managers and risk managers representing different investment styles (fundamental vs. quantitative) and across different investment horizons. Research is conducted predominantly in Python and Scala, and implemented into production by a separate, dedicated team of developers. These models have a huge footprint of usage across the entire Aladdin client base, and so we place special emphasis on scalability and ensuring adherence to BlackRock’s rigorous standards of model governance and control. Background And Responsibilities We are looking to hire a quant researcher with 4+ years’ experience to join AFE Investment AI team focusing on Trading and Liquidity to work closely with other data scientists/researchers to support Risk Mangers, Portfolio Managers and Traders. We build cutting edge liquidity analytics using a wide range of ML algos and a broad array of technologies (Python, Scala, Spark/Hadoop, GCP, Azure). This role is a great opportunity to work closely with the Portfolio Managers, Risk Managers and Trading team, spanning areas such as: Perform analysis of large data sets comprising of market data, trading data and derived analytics. Evaluate trading data, including pre-processing, feature engineering, variable selection, dimensionality reduction etc. Leverage machine learning to extract insights from data and work with investment managers to put those into action. Design, develop models/ML solutions for Trading & Liquidity. Implement the model and integrate the model into Aladdin analytical system in accordance with BlackRock’s model governance policy. Qualifications B.Tech / B.E. / M.Sc. degree in a quantitative discipline (Mathematics, Physics, Computer Science, Finance or similar area). M.Tech. / PhD is a plus. Strong background in Mathematics, Statistics, Probability, Linear Algebra Knowledgeable about data mining, data analytics, data modeling Confident in building models to solve problems including time series forecasting, clustering problems and hands on experience with a range of statistical and machine learning approaches. Ability to work independently and efficiently in a fast-paced and team-oriented environment. Knowledge of fixed income and credit instruments and markets a plus. Previous experience or knowledge in market liquidity is not required but a big plus. For professionals with no prior financial industry experience, this position is a unique opportunity to gain in-depth knowledge of the asset management process in a world-class organization. Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law. Show more Show less

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. Your Impact As a strategist who sits in the Securities Division, you will play an integral role on the trading floor. You may create cutting-edge derivative pricing models and empirical models to provide insight into market behavior, or develop automated trading algorithms for the firm and its clients. You might be involved in analyzing exposures and structuring transactions to meet client needs, or involved in designing and developing complex parallel computing architectures, electronic trading tools, and advanced algorithms. Throughout the Securities Division, strategists are using quantitative and technological techniques to solve complex business problems. Our Impact Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor The Prime Services Strat Team – Funding/Inventory Management 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. Our funding/inventory management strats work with securities lending and the synthetic product desk in conducting transactions and managing risk. In this entrepreneurial role, we build and maintain real-time and scalable trading, inventory management and funding platforms and identify trade opportunities systematically. 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. How You Will Fulfill Your Potential If you are looking for an entrepreneurial position allowing you to fully leverage your strong quantitative, engineering and communication skills to solve challenging real world problems, then our funding/inventory management strat team has the ideal opportunity for you. In this role you will work cross-functionally to build scalable and robust platforms to optimize and automate inventory management decisions. As a member of our growing team, you will have the opportunity to improve our offering to our clients across the physical and synthetic Prime Brokerage. Basic Qualifications Skills & Experience We Are Looking For Strong academic background in a relevant field - Mathematics, engineering, computer science, or economics background, including a quantitative understanding of statistics and probability, 1+ Years of relevant experience 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 a member of a global team and deliver results quickly Ability to solve technical problems and explain the underlying ideas to a non-technical audience Preferred Qualifications Strong written and verbal communication skills Knowledge of financial markets, in particular, understanding of one delta 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 Show more Show less

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 Show more Show less

About Us: AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZen’s invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses. To learn more, visit us at www.appzen.com . About the Role: We are looking for a Senior Data Scientist to come and work on our growing AI stack. You will be working with a team of highly skilled and motivated data scientists and machine learning engineers. If you are excited about natural language understanding and machine translation, AppZen is the right place for you to apply and grow your skills. Must haves: Solid understanding of machine learning fundamentals, and familiar with standard algorithms and techniques. Expert knowledge of a statistical computing language such as Python , Knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference. Lead the design, development, and implementation of state-of-the-art NLP algorithm s and models using Transformers and similar architectures. Good Understanding of MLOps tools/processes like ElasticSearch, Jenkins, Docker is a plus. Good knowledge of Deep Learning frameworks like PyTorch , Tensorflow is a must. Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc. Manage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be useful. Excellent written and verbal technical communication skills; communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions. M.Tech/B.Tech. or equivalent experience in Computer Science, Engineering, Statistics, or other relevant technical field. Must have 4+ years of industry experience. You are a team player. Nice-to-Have: Track-record of having developed novel algorithms, e.g. publications in one or more of the following: KDD, WWW, NIPS, ISWC, NAACL, ACL, SIGIR, EMNLP, ICML etc. Expertise in building and fine-tuning LLM models using Transformers and RAG systems. Show more Show less

We're Hiring: Subject Matter Expert (SME) 📍 Location: Remote |Full-Time At Edusera, we’re on a mission to make high-quality tech education accessible and industry-relevant. We're looking for Subject Matter Experts (SMEs) to join our dynamic team and help us create cutting-edge content that empowers the next generation of professionals. Subjects hiring for: - Advanced Chemistry Advanced Physics Electrical Engineering Civil Engineering Mechanical Engineering Finance&Accounting Stats & Probability Key Responsibilities: Content Authoring: Develop, write, and review high-quality solutions for review questions across assigned subjects. Accuracy and Quality Assurance: Ensure solutions are accurate, well-explained Subject Mastery: Stay up-to-date with the latest developments and methodologies in the subject area to provide reliable, current content. Feedback Implementation: Incorporate feedback from content reviewers to continuously improve and refine solutions. Position Name: Subject Matter Expert Mode: Work from Home Work Timings: - 5AM-2PM Eligibility Master’s or Doctorate degree Experience In Edtech Industry Conceptual/In-depth knowledge of selected subject 📈 Opportunity to build your personal brand as an educator and expert 🎓 Help shape the future of tech education for thousands of learners 📩 Interested? Apply now by sending your resume and portfolio to tanisha.tyagi@eduseras.com #Hiring #SubjectMatterExpert #EdTech #RemoteJobs #TechEducation #Edusera #ContentCreation #DataScience #AI #CloudComputing #Cybersecurity Show more Show less

Job Description: We are looking for an experienced and dynamic Data Science Trainer to join our team. The ideal candidate will have a strong background in data science, machine learning, and statistical analysis, along with a passion for teaching and mentoring. You will be responsible for designing and delivering practical, industry-relevant training programs that help learners build job-ready data science skills. Roles and Responsibilities: Deliver engaging and practical training sessions on Data Science, Machine Learning, and related tools and technologies. Python for data analysis Numpy, Pandas, Matplotlib, and Seaborn Exploratory data analysis (EDA) Statistics and probability for data science Machine Learning (supervised and unsupervised) Model building, evaluation, and deployment Basics of deep learning (if applicable) SQL and data handling Guide students through capstone projects, case studies, and real-world datasets. Design, develop, and update training content, hands-on exercises, quizzes, and assignments. Provide continuous feedback and mentorship to students. Conduct mock interviews, portfolio reviews, and career preparation sessions. Keep up with the latest trends and advancements in data science and integrate them into the course curriculum. Assist in developing content for corporate training, webinars, and workshops. Requirements: Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Minimum 2–3 years of hands-on experience in data science or machine learning roles. Proficient in Python, Jupyter Notebooks, and key libraries like NumPy, Pandas, Scikit-learn, Matplotlib. Strong knowledge of statistical analysis, model building, and data visualization. Excellent communication and presentation skills. Passion for teaching and mentoring learners of various skill levels. Preferred Qualifications: xperience with cloud platforms like AWS, GCP, or Azure (for model deployment). Experience with Power BI, Tableau, or other visualization tools is a plus. Data Science certification from platforms like IBM, Coursera, edX, or similar is a bonus. Prior teaching, coaching, or curriculum development experience is highly preferred. Familiarity with LMS platforms, Zoom, and other remote teaching tools. Job Types: Part-time, Freelance Contract length: 56 months Pay: ₹8,000.00 - ₹25,000.00 per month Expected hours: 18 per week Supplemental Pay: Commission pay Work Location: In person

Date: 05 June 2025 Advertisement for the Junior Research Fellow (JRF) position under the SAC-ISRO funded research project: Applications are invited from motivated candidates with a strong academic background for the position of Junior Research Fellow (JRF) to work at Dhirubhai Ambani University (DA-IICT), Gandhinagar on a sponsored research project funded by the Space Applications Center-ISRO, Ahmedabad, under their NavIC GAGAN Utilization Programme. The project details, required qualifications, experience and other relevant information are provided below. Title of the Project: Road Infrastructure and Traffic Condition Aware Efficient Scheduling and Mobility of Priority Vehicles in Indian Urban Scenario Position and Fellowship: Junior Research Fellow (JRF) – 1 position Consolidated salary Rs. 37,000/- p.m. + 27% HRA Essential Qualification: M.Tech (ICT/Computer/Electronics and Communication/Electrical/) or equivalent with background in Wireless communication and networks Desirable Skills : Knowledge of micro-controller programming and sensor interfacing Proficiency in programming languages such as in C/C++/Java and Android Application Development Good understanding of probability, statistics, graph theory, routing algorithms, or scheduling problems Experience in data analysis and machine learning using Python Familiarity with IoT systems, GNSS/IRNSS NavIC, and vehicular communication protocols Good communication and documentation skills CSIR-UGC NET or GATE qualification is desirable Period of Appointment: The position is purely temporary and will be available for a duration of three years. The initial appointment will be for one year, with the possibility of extension based on satisfactory performance. This position does not confer any right of extension or absorption into Dhirubhai Ambani University (DA-IICT). However, the selected candidate will be encouraged to apply for the PhD program at the institute, subject to the prevailing guidelines. Job Description: Collect, clean, and analyze real-time and historical vehicle trajectories and incident data from NavIC/GPS-enabled devices and available traffic data sources Train and validate machine learning models using multi-sensor datasets Design and develop traffic simulation scenarios using open source simulator(s) and analyze the simulation results Design and develop approximation algorithms and graph based models related to scheduling and routing problems Support system integration and pilot deployments Prepare technical reports, publications, and project documentation Any other task related to the project How to Apply: The interested candidates must send the Curriculum Vitae with complete qualification and experience details at the earliest through an e-mail to Dr. Manish Chaturvedi at manish_chaturvedi@dau.ac.in Please write “Application for the JRF position under SAC-ISRO Funded Project NGP-09” in subject line of the email. Candidates will be shortlisted for the interview based on their CV, qualifications, and relevant experience. Only the shortlisted candidates will be invited for the interview, and no TA/DA will be provided for attending the same. The interview will assess candidates for the skill set as mentioned above. Important Dates: Last date of application: 27 June 2025 Tentative date of Interview: during 02 – 04 July 2025 Expected start date: TBD Mode of Interview: Hybrid (in person preferred, outstation candidates may attend online) For technical information about the project, the candidate may contact the Principal Investigator of the project, Dr. Manish Chaturvedi, Assistant Professor, Dhirubhai Ambani University (DA-IICT)at manish_chaturvedi@dau.ac.in Show more Show less

Company Description NielsenIQ is a consumer intelligence company that delivers the Full View™, the world’s most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. Our diversity brings out the best in each other so we can leave a lasting legacy on the work that we do and the people that we do it with. NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI/ML and data science to global and key strategic projects. Job Description NielsenIQ’s Innovation Team is growing our AI capabilities and is now looking to hire a research scientist in . for the Core Models team, a multidisciplinary team of researchers working on different areas of AI such as recommender systems, extreme classifiers, Large Language Models (LLMs), among others. As part of this team, you will stay up to date with the latest research in AI (with special focus on NLP, but also on Computer Vision and other AI related fields), implement current state-of-the-art algorithms in real-world and large-scale challenging problems as well as proposing novel ideas. Your main focus will be developing and customizing LLMs for consumer insights, injecting knowledge about NIQ’s business (FMCG and Tech&Durables) and building downstream applications. You will also have the opportunity to produce scientific content such as patents or conference/journal papers. The selected candidate will also be responsible for analyzing data, researching the most appropriate techniques, and the development, testing, support and delivery of proof of concepts. Job Responsibilities: Investigate, develop, and apply machine learning innovations with minimal technical supervision. Perform feasibility studies and analyze data to determine the most appropriate solution. Drive innovation and lead our work on custom Large Language Models. Work on many different data challenges, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code. Be able to communicate results to tech and non-tech audiences. To work as a member of a team, encouraging team building, motivation and cultivating effective team relations. Qualifications Required Education, Skills and Experience: Master's degree in computer science or an equivalent numerate discipline. At least years’ experience with evidence in a related field. Strong background in computer science, linear algebra, probability. Solid experience in Machine Learning and Deep Learning (special focus on Transformers). Proven experience in Natural Language Processing and Large Language Models. Able to understand scientific papers and develop ideas into executable code. Proven track record of innovation in creating novel algorithms, publishing in AI conferences/journals and applying the latest advances in AI to real world problems. Data analysis and practical hands-on experience with datasets, ML models and evaluations. Languages and technologies: Python, PyTorch, Huggingface, git, pandas/polars, sklearn. Proactive attitude, constructive, intellectual curiosity, and persistence to find answers to questions. A proficient level of interpersonal and communication skills (English level B2 minimum). Keen to work as part of a diverse team of international colleagues and in a global inclusive culture. Additional Information: Preferred Education, Skills and Experience: PhD in science (NLP is preferred) and specialized courses in one of the above-mentioned fields. Experience working with large real-world datasets and scalable ML solutions. Previous experience in e-commerce, retail and/or FMCG/Consumer Insight business. Agile methodologies development (SCRUM or Scale Agile). Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion Show more Show less

Job Requisition ID # 25WD86647 The Partner Success and Services team is seeking a dynamic and skilled individual to provide data analysis that will enable our partners and internal teams to identify key areas of optimization, growth opportunities and mitigation of risk in the business across the customer lifecycle. This person will report to the Manager, Strategy, Data and Growth and will play a critical role in engaging with Autodesk’s partner team (Partner Managers, Partner Business Consultants and Partner Success Managers) to ensure they have what they need to help partners improve their Autodesk business in an effective, data driven way. The role will be responsible for collecting, cleaning, analyzing, and interpreting data from various sources to identify patterns and trends, then presenting their findings through reports and visualizations to inform business decisions and strategies, utilizing tools like SQL and data visualization software (Power BI) to extract meaningful insights from raw data that will help partners optimize their engagement with Customers. Responsibilities Data collection: Gathering data from multiple sources including databases, surveys, web analytics, and APIs. Data cleaning and preparation: Identifying and correcting errors, removing duplicates, and formatting data for analysis. Statistical analysis: Conducting actionable, statistically-sound analyses and research to identify significant business trends. Data visualization: Creating intuitive charts, graphs, and dashboards to effectively communicate insights to stakeholders with a focus on high business impact. Report generation: Developing comprehensive reports summarizing key findings and actionable insights. Collaboration: Working with different teams to understand their data needs and develop data-driven stories to translate findings into actionable business strategies. Skills & Experience You’ll Need To Be Successful Technical skills: Advanced proficiency in SQL, Excel, and data visualization tools (Power BI) Problem-solving skills: Ability to identify issues, analyze data, and propose solutions Communication skills: Effectively presenting complex data insights to both technical and non-technical audiences Critical thinking: Ability to interpret data and draw meaningful conclusions Attention to detail: Ensuring data accuracy and consistency throughout the analysis process Statistical knowledge: Understanding statistical concepts like hypothesis testing, regression analysis, and probability Minimum Qualifications Bachelor's degree (or equivalent certifications) in the fields of statistics, mathematics, computer science, or economics, along with a strong understanding of statistical analysis, advanced data manipulation skills (including SQL), and advanced proficiency in data visualization tools (ideally Power BI). Preferred Qualifications 5+ Years Relevant Work Experience in a SAAS company Proficiency in Python or R Experience in A/B experimentation Experience building predictive and/or forecasting models Experience or strong interest in contributing to data governance and data enablement Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers. When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us! Salary transparency Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package. Sales Careers Working in sales at Autodesk allows you to build meaningful relationships with customers while growing your career. Join us and help make a better, more sustainable world. Learn more here: https://www.autodesk.com/careers/sales Diversity & Belonging We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). Show more Show less

Location Name: Bhuj Job Purpose Risk Management is core to Bajaj Finance. Most of the decisions in Risk Management are data driven and analytical. Statistical models are required to look at multi-variate dimensions from a risk perspective including calculating the expected credit loss, scenario analysis, forecasting, Stress Testing etc. Statistical models are built and scorecards are prepared which assesses parameters like PD (probability of default), EAD and LGD which are critical from a regulatory perspective and forms important aspect of regulatory reporting purpose. This role gives an opportunity of going beyond the above and gives deeper insights on the Regulatory norms on Credit Risk. The role allows candidate work on areas such as Stress Testing, Expected Credit Loss, Macro Economic stress, Macro stress models/forecasting etc. Duties And Responsibilities  Build Stress Testing Framework and execute the same  Develop, validate, and execute Stress Testing Tools and Stress Testing Engine  Build, monitor, validate and track PD, LGD, EAD models for Stress Testing as per RBI guidelines  Provide analytical solutions through statistical modeling, credit policy and strategy, reporting and data analysis for the BFL businesses  Support any adhoc deep dive data analysis on portfolio metrices  Support in Data analysis and segmentations.  Ongoing liaising with IT, Credit and BIU teams to ensure all policies, processes, data flow are working efficiently, and all required changes are build and implemented suitably Key Decisions / Dimensions Model build design Algorithms that should be used in model building Business interpretation of statistical models Model Monitoring results and it’s interpretation Major Challenges Updated on new statistical modeling methods Writing efficient SQL and Python queries Incorporate the regulatory changes, as and when announced Liasing with IT and other teams to get models implemented in the systems Qualifications Required Qualifications and Experience B-Tech/MBA Finance / Postgraduate with 1-3 years in quantitative subjects (Statistics/Data Science) Work Experience 1-3 years relevant analytical experience in Model development, ML modelling, Forecasting, Segmentation and Clustering. Preferred Coding languages: SAS, SQL, R, Python. Classical statistical techniques: Regression, Logistic regression, Clustering, Dimensionality reduction techniques, Hypothesis testing. Experience in handling huge data base and the ability to do root cause analysis. Individual contributor with the capability to deliver projects within timeline Effective verbal and written communication skills Show more Show less

Brightchamps Business Data Analyst Job Description Company Description BrightCHAMPS is a global live-learning edtech platform for kids aged 6 to 16 that focuses on teaching next-gen life skills such as Coding, Financial Literacy, Communication Skills, and Robotics. The company is currently valued at $650 million with a $63 million investment and serves over 30 countries across 4 verticals. Our mission is to empower the world's 2 billion kids with next-gen life skills to level the playing field for success, regardless of gender, physical, socio-political, cultural, and financial considerations. Role Description This is a full-time on-site role for a Business Data Analyst located in the Greater Bengaluru Area. As a Business Data Analyst at BrightCHAMPS, you will be responsible for analysing and interpreting data, performing data modelling, and communicating insights to drive decision-making. Your day-to-day tasks will include conducting data analyses, developing reports and dashboards, and collaborating with cross-functional teams to identify opportunities for improvement. Key Responsibilities: 1. Collaborate with cross-functional teams on interdepartmental projects to align strategies and achieve organisational goals. 2. Gather, analyse, and interpret data to fulfil various departmental requirements, ensuring data accuracy and completeness. 3. Utilise advanced Excel skills including VLOOKUP, Pivot tables, and logical functions to manipulate and analyse large datasets efficiently. 4. Utilise SQL to extract and manipulate data from relational databases, with familiarity in window functions for complex data analysis. 5. Develop and maintain dashboards and reports using preferred visualisation tools such as Google Data Studio, Quicksight, or Tableau to present insights in a visually intuitive manner. 6. Perform root cause analysis (RCA) on key business metrics, identifying trends, patterns, and areas for improvement. 7. Provide statistical analysis and interpretation of data to derive actionable insights and recommendations for optimising business performance. 8. Demonstrate a strong understanding of key business metrics including revenue, conversion rates, and retention/churn, and leverage this knowledge to drive strategic initiatives. Requirements: 1. Bachelor’s in Data Analytics, Statistics or any related or equivalent courses. 2. Proficiency in Data Modeling, Advanced Excel and Advanced SQL (must-have) – Python is a plus 3. Experience with data visualisation tools such as Quicksight, or Metabase is a plus. 4. Understanding of basic statistics and probability concepts. 5. Excellent communication and collaboration skills with the ability to effectively communicate insights and recommendations to stakeholders. 8. Strong analytical and problem-solving skills with a keen attention to detail. 9. Ability to thrive in a fast-paced startup environment and adapt to changing priorities Show more Show less

About Kunduz Kunduz is a global ed-tech startup aiming to make educational resources more accessible for everyone and democratize test prep and learning. Kunduz's flagship Q&A product is a mobile platform that helps students get their questions answered through its tutor network and proprietary AI technology. So far, 35,000 professional tutors answered 40 million questions from thousands of students across multiple countries through Kunduz. Kunduz was founded and scaled by a group of friends from Bogazici University, Istanbul. It has teams in Turkey, India, and the United States. Kunduz has been funded by renowned Silicon Valley investors such as Y Combinator, Social Capital, First Round Capital, prominent ed-tech angels, and family offices across the world. Position Overview This is an opportunity where you can allocate your time to help students with their doubts. Key Ownership areas: Demonstrate strong expertise in math topics such as Trigonometry, Calculus, Logarithms, Probability, Statistics, Matrices, and Determinants for students. Simplify intricate mathematical concepts into easily digestible components. Analyze and understand the root cause of the doubts to enable students to improve rather than just solve the doubts. Be a mentor to every student and teach concepts in a friendly way. Work in developing student expertise and confidence in mathematics Show more Show less

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less

We’re hiring an Applied AI Researcher in the deep-tech and AI research industry . We are seeking a highly skilled and motivated professional to join our advanced research team. In this role, you will design multi-agent architectures, develop domain-specific scaffolding techniques, and build evaluation frameworks for next-generation AI systems. You’ll work at the frontier of applied AI—combining LLMs, reinforcement learning, and multi-agent systems to build scalable and meaningful solutions. Key Responsibilities Architect and implement novel multi-agent systems that enable advanced problem-solving and collaboration Design domain-specific scaffolding techniques to tailor AI behavior to complex, real-world domains Curate and manage high-quality datasets for training and evaluation of AI models across scientific and industrial use cases Establish and iterate on robust evaluation frameworks to measure performance, alignment, and robustness Research and apply reinforcement learning techniques, including RLHF, DPO, GRPO, and others Explore post-training optimization, fine-tuning, and domain adaptation methods Collaborate cross-functionally with engineering and product teams to translate research into production-ready solutions Stay abreast of cutting-edge developments in AI and contribute to internal and external research communities Document and communicate findings through technical reports, presentations, and publications Required Qualifications Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field 4+ years of experience in applied AI research or equivalent industry R&D experience Strong foundations in optimization, probability, and linear algebra Expertise in Python and frameworks like PyTorch or JAX Experience with RL and post-training methods (e.g., SFT, DPO, RLHF) Proficiency in building and aligning small language models (SLMs), including reasoning-specific models Familiarity with prompting strategies like Chain of Thought and dataset design for reasoning tasks Deep understanding of multi-agent systems and distributed training (multi-GPU/multi-node) Experience in designing evaluation metrics and performance analysis methodologies Preferred Experience Publications in leading ML conferences (NeurIPS, ICLR, ICML, AAMAS, etc.) Experience applying AI to scientific domains like drug discovery, chip design, or materials science Exposure to multimodal models and VLMs Experience with open-ended systems and emergent behavior in agent-based learning Background in computational science (chemistry, physics, EE, or applied math) Familiarity with MLOps, Kubernetes, Ray, Hydra, and MLflow Experience with domain adaptation, interpretability, and model optimization for deployment Contributions to open-source AI projects Expertise in building GPU-accelerated pipelines and optimizing inference at scale What We Offer Work on high-impact, frontier research with real-world applications Access to high-performance computing resources A collaborative, intellectually stimulating environment Autonomy to explore novel ideas aligned with our mission Competitive salary, benefits, and opportunities for growth Skills: Research,Design,Multi-agent Systems,Models Show more Show less