393 Algebra Jobs - Page 14

Role Overview: Join an innovative AI-focused company based in the U.S. as a Math and Logic Puzzle Specialist. They seek individuals passionate about mathematical challenges and logical reasoning to contribute to the continual improvement of advanced AI models through puzzle creation, analysis, and feedback. Responsibilities: Develop and verify diverse math and logic puzzles designed to enhance AI capabilities. Evaluate AI-generated outputs for mathematical accuracy and logical coherence. Provide detailed annotations and constructive critiques on AI responses. Identify and correct unclear or erroneous information to refine AI results. Collaborate with team members to maintain and enhance puzzle evaluation standards. Track and report performance metrics related to accuracy and efficiency. Participate actively in regular calibration meetings to standardize annotation practices. Document best practices and methodologies for puzzle assessment processes. Qualifications: Bachelor's degree or higher in Mathematics, Computer Science, Physics, or a related analytical discipline. Experience in education, research, or roles emphasizing mathematics and logic. Excellent communication skills to clearly articulate complex mathematical concepts. Strong analytical reasoning and problem-solving capabilities. Expertise in fields such as algebra, discrete mathematics, calculus, probability theory, number theory, algorithms, logic, or game theory. Preferred Qualifications: Advanced degree (Ph.D. or Master's) in Mathematics, Physics, Statistics, or related areas. Experience in creating educational materials or mathematical puzzles. Familiarity with artificial intelligence, specifically Large Language Models (LLMs). Prior experience in data annotation or evaluation of logical/mathematical content. Benefits and Advantages: Directly contribute to cutting-edge AI technology impacting real-world applications. Fully remote, contract-based position offering substantial flexibility and autonomy without traditional constraints. Opportunity to collaborate with professionals from prestigious institutions such as Meta, Stanford, and Google. Competitive compensation in USD, aligned with leading technology industry standards. Note: Shortlisted candidates may be invited to complete an assessment to demonstrate their mathematical reasoning and problem-solving skills. Show more Show less

Position: Python Intern specializing in AI Location : Bhopal, Madhya Pradesh (Work from Office) Duration: 3 to 6 Months ✅ Must-Have Skills Core Python Programming: Functions, loops, list comprehensions, classes Error handling (try-except), logging File I/O operations, working with JSON/CSV Python Libraries for AI/ML: numpy, pandas – Data manipulation & analysis matplotlib, seaborn – Data visualization scikit-learn – Classical machine learning models Basic familiarity with tensorflow or pytorch Working knowledge of Openai / Transformers (bonus) AI/ML Fundamentals: Supervised and unsupervised learning (e.g., regression, classification, clustering) Concepts of overfitting, underfitting, and bias-variance tradeoff Train-test split, cross-validation Evaluation metrics: accuracy, precision, recall, F1-score, confusion matrix Data Preprocessing: Handling missing data, outliers Data normalization, encoding techniques Feature selection & dimensionality reduction (e.g., PCA) Jupyter Notebook Proficiency: Writing clean, well-documented notebooks Using markdown for explanations and visualizing outputs Version Control: Git basics (clone, commit, push, pull) Using GitHub/GitLab for code collaboration ✅ Good-to-Have Skills Deep Learning: Basic understanding of CNNs, RNNs, transformers Familiarity with keras or torch.nn for model building Generative AI: Prompt engineering, working with LLM APIs like OpenAI or Hugging Face Experience with vector databases (Qdrant, FAISS) NLP: Tokenization, stemming, lemmatization TF-IDF, Word2Vec, BERT basics Projects in sentiment analysis or text classification Tools & Platforms: VS Code, JupyterLab Google Colab / Kaggle Docker (basic understanding) Math for AI: Linear algebra, probability & statistics Basic understanding of gradients and calculus ✅ Soft Skills & Project Experience Participation in mini-projects (e.g., spam detector, digit recognizer) Kaggle competition experience Ability to clearly explain model outputs and results Documenting findings and creating simple dashboards or reports. Job Types: Full-time, Internship Pay: From ₹5,000.00 per month Schedule: Day shift Work Location: In person

⭐ Job Title: Machine Learning Engineer ⭐ Reporting To: Technical Lead ⭐ Job Type: Full-time, Permanent ⭐ Location: Whitefield, Bangalore 🔥 ABOUT THE COMPANY Formee Holdings is a multinational organization developing a portfolio of new and exciting brands in the tech and retail spaces. Formee Express, Formee, Tela Mela and Formee Jewlery are all brands under our umbrella; our fields of business are in e-commerce, EdTech and F&B industries. We are currently headquartered in Melbourne, Australia, with offices also in India, Malaysia, Canada, China, Philippines, US, and UK. Needless to say, our teams are diverse and innovative! At Formee Holdings, we value independence, flexibility, career and personal growth. We're a fast-growing Edu-tech company that embraces innovation and encourages our team members to push boundaries and reach new heights. With Formee Holdings, you will get an opportunity to work with a diverse team in different parts of the world. There is a huge potential for learning and growth. JOB OVERVIEW We are looking for a Machine Learning Engineer to design and build a conversational AI chatbot for public use. The chatbot will provide accurate, empathetic responses to a diverse audience, handling a wide range of queries while ensuring scalability, security, and accessibility. You’ll collaborate with our technology and UX teams to create a tool that aligns with Formee’s mission of community support. The ideal candidate will have a strong background in building a conversational AI model and a passion for applying AI techniques to solve real-world problems. KEY RESPONSIBILITIES Model Development & Innovation: Design, prototype, and optimize scalable deep learning architectures focused on natural language understanding and generation. Leverage techniques such as reinforcement learning from human feedback (RLHF) and instruction tuning to enhance conversational performance. Experiment with prompt engineering and develop methodologies to improve model interpretability and alignment with user intent. Research & Experimentation: Stay abreast of advances in NLP, deep learning, and generative AI by reviewing academic literature and industry trends. Lead proof-of-concept experiments and iterative development cycles to assess and validate novel approaches. System Integration & Deployment: Collaborate with software and data engineers to integrate AI models into production pipelines using MLOps best practices. Monitor live systems for model drift and other performance issues; implement mechanisms for continuous improvement and retraining. Cross-Functional Leadership: Work closely with product, design, and business teams to translate customer feedback and market trends into actionable technical requirements. Help set strategic roadmaps for AI research and guide development efforts in line with ethical AI principles and regulatory compliance. 🎯 SKILLS REQUIRED Technical Expertise: Expertise in designing and training a deep learning model from scratch using frameworks such as Tensorflow or PyTorch . Hands-on experience in designing, training, and fine-tuning large-scale Neural Language Models. In-depth knowledge of deep learning architectures, particularly Transformer models , and familiarity with techniques like reinforcement learning from human feedback (RLHF) and instruction tuning. Proficiency in natural language processing (NLP) fundamentals, including attention mechanisms, context window management, and prompt engineering. Strong programming skills in Python and familiarity with modern data pipelines. Experimental & Research Acumen: Demonstrable track record in conducting rigorous, iterative experiments—such as hyperparameter tuning, ablation studies, and performance benchmarking —to optimize model performance and alignment. A history of research contributions, which could include peer-reviewed publications, open-source contributions, or patents in areas related to AI, deep learning, or NLP. Additional Skills and Traits: Strong mathematical foundation, especially in linear algebra, calculus, probability, and statistics , to support algorithm development and optimization. Ability to dive into complex, large codebases to debug, optimize, and iterate on models. ⭐ ABOUT YOU You're curious about new technologies and Artificial Intelligence and you are driven to find ways to implement them in your work. You have a big appetite to learn and improve your technical skills. You are analytical and you have a keen eye for detail. You have great problem-solving skills, and you work well in a team. You have knowledge of the entire web development process. Excited to use and explore new generative AI tools for software engineering tasks on a day-to-day basis. Show more Show less

Job Description About Goldman Sachs 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. For us, it’s all about bringing together people who are curious, collaborative and have the drive to make things possible for our clients and communities. OUR IMPACT Goldman Sachs Asset Management (GSAM) is one of the world’s leading investment managers. GSAM provides institutional and individual investors with investment and advisory solutions, with strategies spanning asset classes, industries, and geographies. We help our clients navigate today’s dynamic markets, and identify the opportunities that shape their portfolios and long-term investment goals. We extend these global capabilities to the world’s leading pension plans, sovereign wealth funds, central banks, insurance companies, financial institutions, endowments, foundations, individuals and family offices Within GSAM, the Quantitative Investment Strategies (QIS) group is responsible for managing client assets, and is a market leader in quantitative portfolio management. We use advanced quantitative methods to structure, manage, and monitor investment portfolios including mutual funds, and separately managed accounts. QIS offers multi-asset strategies, as well as equity strategies, including both actively managed portfolios and portfolios that closely track an index. Clients include public, corporate and charitable institutions, high net-worth individuals, retail investors, and various portfolio management groups within the division. Responsibilities And Qualification HOW YOU WILL FULFILL YOUR POTENTIAL The ideal candidate is passionate about investment and motivated to outperform the market. We welcome individuals who are excited by the prospect of combining creative insights with extensive research to make good investment decisions. Key Responsibilities Include Alpha research: Generate creative research ideas, explore new datasets, conduct rigorous analysis, and implement quantitative trading models. Research in model and optimization related techniques, especially in machine learning and artificial intelligence. Portfolio management: Assume full responsibility for alpha model, portfolio construction, and performance. Oversee day to day systematic trade generation and execution. Research Methodologies and Infrastructure: Help formulate and build next generation research and production infrastructure for systematic strategies that utilizes heavy computation and latest ML/AI techniques. Qualifications SKILLS & EXPERIENCE WE’RE LOOKING FOR Basic Qualifications Degree (Undergraduate/Masters/PhD) in a highly computation and quantitative discipline. Advanced degree preferred. Strong understanding of machine learning, artificial intelligence, and/or optimization techniques. Strong programming skills (i.e. Python, Matlab, C++, Java, or other languages) Strong understanding of statistics and linear algebra. Creativity and ability to think outside the box Ability to work well in a fast-paced environment About Goldman Sachs 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 JD for AI/ML SME Responsibilities: To research, modify, and apply data science and data analytics prototypes. To create and construct methods and plans for machine learning. Employing test findings to do statistical analysis and improve models. ML systems and models should be trained and retrained as necessary. To improve and broaden current ML frameworks and libraries. To create machine learning applications in accordance with customer needs. To investigate, test, and put into practice appropriate ML tools and algorithms. To evaluate the application cases and problem-solving potential of ML algorithms and rank them according to success likelihood. To better comprehend data through exploration and visualization, as well as to spot discrepancies in data distribution that might affect a model’s effectiveness when used in practical situations. Must Have Skills: Expertise in image processing/computer vision algorithms. Expertise in deep learning and machine learning techniques. Good understanding on: Advanced math and statistics knowledge, particularly in the areas of calculus, linear algebra, and Bayesian statistics. Experience / understanding of Optimizations performed on ML/DNN models Sound knowledge of Machine learning and Deep neural network frameworks like Tensorflow, pytorch, caffe, caffe2 Experience in Neural processing engines SNPE,TIDL etc will be an added advantage. Good programming skills in Python, C/C++. Self-motivated to learn and explore new areas. Years of Experience – 5 to 10 Years Required Skills C++,PYTHON, Design Patterns, System Design, Data Structure, Algorithms,Embedded C,AI,ML,C,DATA STRUTURE Supported Skills Tensorflow, pytorch, caffe, caffe2 Show more Show less

Female Tutor for Class 9 Math & English Job Overview We are seeking a dedicated and qualified Female Tutor to provide offline tutoring in Mathematics and English for a Class 9 student. The tutoring sessions will be conducted in Saheli Nagar, Udaipur, during evening hours. The role requires a commitment to delivering high-quality education, fostering a positive learning environment, and supporting the student in achieving academic excellence in Math and English. Key Details Reference ID: AI/25-26/0112 Position: Female Tutor Class: 9th Grade Subjects: Mathematics and English Mode of Teaching: Offline (In-Person) Location: Saheli Nagar, Udaipur, Rajasthan Timing: Evening (specific time to be finalized, typically between 4:00 PM and 7:00 PM) Duration: 1.5 hours per session Frequency: Regular sessions (to be discussed, typically 5–6 days per week) Salary: ₹5,000 per month Start Date: Immediate Responsibilities Deliver Lessons: Plan and conduct engaging, structured lessons in Mathematics and English tailored to the Class 9 curriculum (e.g., CBSE, ICSE, or Rajasthan Board, as applicable). Teach Core Concepts Mathematics: Cover topics such as Algebra, Geometry, Number Systems, and Statistics. English: Focus on grammar, vocabulary, reading comprehension, writing skills, and literature. Assess Progress: Evaluate the student’s understanding through practice questions, tests, and assignments, providing constructive feedback. Support Exam Preparation: Assist with homework, projects, and preparation for school assessments and board exams. Encourage Skill Development: Promote problem-solving in Math and language proficiency in English through interactive and practical methods. Motivate and Mentor: Foster a positive attitude toward learning, build confidence, and address any conceptual difficulties. Communicate with Parents: Provide periodic updates to parents/guardians on the student’s progress and areas for improvement. Maintain Discipline: Ensure a focused and respectful learning environment during sessions. Qualifications And Skills Gender: Female (mandatory due to specific requirements). Education: Bachelor’s degree or higher in a relevant field (e.g., B.Sc., B.A., B.Ed.). Candidates pursuing a degree with strong subject knowledge may also be considered. Experience: Prior tutoring or teaching experience in Mathematics and English for Class 9 students is preferred but not mandatory. Subject Expertise: In-depth knowledge of Class 9 Math and English syllabi (CBSE/ICSE/Rajasthan Board or equivalent). Communication Skills: Excellent verbal and written communication skills in English and the ability to explain Math concepts clearly. Punctuality: Ability to adhere to the scheduled evening timing and session duration. Location: Must reside in or be able to commute reliably to Saheli Nagar, Udaipur. Patience and Adaptability: Ability to adapt teaching methods to suit the student’s learning pace and style. Preferred Qualities Familiarity with Class 9 Math and English curricula and exam patterns. Strong organizational skills to plan lessons and track student progress. Passion for teaching and a commitment to student success. Professional demeanor and trustworthiness. Salary and Benefits Monthly Salary: ₹5,000 Additional Benefits Opportunity to make a meaningful impact on a student’s academic journey. Flexible lesson planning within the specified evening timing. Potential for long-term engagement based on performance and student satisfaction. Show more Show less

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About The Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Mathematics, you'll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI Define comprehensive scoring criteria to evaluate the accuracy of the AI's answers Correct the model's responses based on your domain-specific knowledge How To Get Started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone. Requirements You have a Master's degree or PhD in Mathematics and/or in a related field You have at least 3 years of professional experience in Algebra (Intermediate Algebra, Algebra, pre-algebra), Geometry, Calculus, Probability, Number theory Your level of English is advanced (C1) or above You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge Benefits Why this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments Work on advanced AI projects and gain valuable experience that enhances your portfolio Influence how future AI models understand and communicate in your field of expertise Show more Show less

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About The Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Mathematics, you'll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI Define comprehensive scoring criteria to evaluate the accuracy of the AI's answers Correct the model's responses based on your domain-specific knowledge How To Get Started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone. Requirements You have a Master's degree or PhD in Mathematics and/or in a related field You have at least 3 years of professional experience in Algebra (Intermediate Algebra, Algebra, pre-algebra), Geometry, Calculus, Probability, Number theory Your level of English is advanced (C1) or above You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge Benefits Why this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments Work on advanced AI projects and gain valuable experience that enhances your portfolio Influence how future AI models understand and communicate in your field of expertise Show more Show less

Type: Part-Time, Remote Perks: US organisation, handsome compensation Compensation: Starting at $13 to $20/hour (~Rs. 1350+ per hour) Minimum Commitment: 10 hours/week About Us: We are at forefront of AI and machine learning, and we’re looking for motivated individuals to contribute to the next generation of intelligent models. We’re looking for skilled software engineers to help train cutting-edge AI models for the future of tech innovation! This is your chance to work remotely, on your own terms, and be part of the an growing AI organisation 🌍💡Key Qualifications: Skills Requirements: Mathematics Expert Abstract math (e.g., measure theory, number theory) Theoretical probability (e.g., P(A)P(B) for independent events) Basic calculus (e.g., deriving simple equations) Manipulating or isolating variables/quantifiers Arithmetic with small numbers Algebra (solving for variables) Numerical computation (large number calculations) Trigonometry and calculus concepts (e.g., solving roots or equations) Matrix and vector operations Applied probability and statistics (e.g., standard deviations, binomial distributions) Calculating areas, volumes, or integrals Numerical approximations (e.g., series, Monte Carlo methods) 🌍💡Background/Experience Requirements: Tutoring math for 6-8, or 9-10, or 11-12 standards or, Experience tutoring for online EdTech companies (Filo, Wyzant, Byjus, Brightchamps) or, PhD in mathematics (optional but preferred) or, Experience with competitive exam preparation or, Mathematics professor in college / university or, Freelance mathematicians/consultants or, Experienced data analyst or quantitative researcher 🌍💡About the Role: Turbocharge your career by working on prompt engineering, fine-tuning AI models, and other such skills of the future. These roles do not require AI/machine learning expertise but instead demand deep subject matter expertise in your core subject of study, coupled with fluent English and critical thinking. These are project-based roles that offer flexible hours, with an anticipated commitment of 2-3 hours daily. Work from home. 🌍💡Why You Should Apply: ✅ Flexible without any restrictions, opportunity – work whenever it fits your schedule! ✅ Remote – work from anywhere in India! ✅ Competitive pay – starting from $13/hour to $20/hour based on experience and performance How to Apply: ✅ Fill the GoogleForm ✅ Wait for shortlisting email ✅ Receive offer letter ✅ Take onboarding process very seriously Follow for more AI Jobs + Entrepreneurship Ayyush Sharma (Chhotapreneur) Growth, Strategy & Revenue Operations A+ track record in scaling startups Growth @ Outlier AI Show more Show less

Type: Part-Time, Remote Perks: US organisation, handsome compensation Compensation: Starting at $13 to $20/hour (~Rs. 1350+ per hour) Minimum Commitment: 10 hours/week About Us: We are at forefront of AI and machine learning, and we’re looking for motivated individuals to contribute to the next generation of intelligent models. We’re looking for skilled software engineers to help train cutting-edge AI models for the future of tech innovation! This is your chance to work remotely, on your own terms, and be part of the an growing AI organisation 🌍💡Key Qualifications: Skills Requirements: Mathematics Expert Abstract math (e.g., measure theory, number theory) Theoretical probability (e.g., P(A)P(B) for independent events) Basic calculus (e.g., deriving simple equations) Manipulating or isolating variables/quantifiers Arithmetic with small numbers Algebra (solving for variables) Numerical computation (large number calculations) Trigonometry and calculus concepts (e.g., solving roots or equations) Matrix and vector operations Applied probability and statistics (e.g., standard deviations, binomial distributions) Calculating areas, volumes, or integrals Numerical approximations (e.g., series, Monte Carlo methods) 🌍💡Background/Experience Requirements: Tutoring math for 6-8, or 9-10, or 11-12 standards or, Experience tutoring for online EdTech companies (Filo, Wyzant, Byjus, Brightchamps) or, PhD in mathematics (optional but preferred) or, Experience with competitive exam preparation or, Mathematics professor in college / university or, Freelance mathematicians/consultants or, Experienced data analyst or quantitative researcher 🌍💡About the Role: Turbocharge your career by working on prompt engineering, fine-tuning AI models, and other such skills of the future. These roles do not require AI/machine learning expertise but instead demand deep subject matter expertise in your core subject of study, coupled with fluent English and critical thinking. These are project-based roles that offer flexible hours, with an anticipated commitment of 2-3 hours daily. Work from home. 🌍💡Why You Should Apply: ✅ Flexible without any restrictions, opportunity – work whenever it fits your schedule! ✅ Remote – work from anywhere in India! ✅ Competitive pay – starting from $13/hour to $20/hour based on experience and performance How to Apply: ✅ Fill the GoogleForm ✅ Wait for shortlisting email ✅ Receive offer letter ✅ Take onboarding process very seriously Follow for more AI Jobs + Entrepreneurship Ayyush Sharma (Chhotapreneur) Growth, Strategy & Revenue Operations A+ track record in scaling startups Growth @ Outlier AI Show more Show less

Type: Part-Time, Remote Perks: US organisation, handsome compensation Compensation: Starting at $13 to $20/hour (~Rs. 1350+ per hour) Minimum Commitment: 10 hours/week About Us: We are at forefront of AI and machine learning, and we’re looking for motivated individuals to contribute to the next generation of intelligent models. We’re looking for skilled software engineers to help train cutting-edge AI models for the future of tech innovation! This is your chance to work remotely, on your own terms, and be part of the an growing AI organisation 🌍💡Key Qualifications: Skills Requirements: Mathematics Expert Abstract math (e.g., measure theory, number theory) Theoretical probability (e.g., P(A)P(B) for independent events) Basic calculus (e.g., deriving simple equations) Manipulating or isolating variables/quantifiers Arithmetic with small numbers Algebra (solving for variables) Numerical computation (large number calculations) Trigonometry and calculus concepts (e.g., solving roots or equations) Matrix and vector operations Applied probability and statistics (e.g., standard deviations, binomial distributions) Calculating areas, volumes, or integrals Numerical approximations (e.g., series, Monte Carlo methods) 🌍💡Background/Experience Requirements: Tutoring math for 6-8, or 9-10, or 11-12 standards or, Experience tutoring for online EdTech companies (Filo, Wyzant, Byjus, Brightchamps) or, PhD in mathematics (optional but preferred) or, Experience with competitive exam preparation or, Mathematics professor in college / university or, Freelance mathematicians/consultants or, Experienced data analyst or quantitative researcher 🌍💡About the Role: Turbocharge your career by working on prompt engineering, fine-tuning AI models, and other such skills of the future. These roles do not require AI/machine learning expertise but instead demand deep subject matter expertise in your core subject of study, coupled with fluent English and critical thinking. These are project-based roles that offer flexible hours, with an anticipated commitment of 2-3 hours daily. Work from home. 🌍💡Why You Should Apply: ✅ Flexible without any restrictions, opportunity – work whenever it fits your schedule! ✅ Remote – work from anywhere in India! ✅ Competitive pay – starting from $13/hour to $20/hour based on experience and performance How to Apply: ✅ Fill the GoogleForm ✅ Wait for shortlisting email ✅ Receive offer letter ✅ Take onboarding process very seriously Follow for more AI Jobs + Entrepreneurship Ayyush Sharma (Chhotapreneur) Growth, Strategy & Revenue Operations A+ track record in scaling startups Growth @ Outlier AI Show more Show less

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

Company Description Welcome to ISBF – where academic excellence meets global recognition! Elevate your education with a University of London degree, shaped by the prestigious London School of Economics (LSE) curriculum. Role Description This is a full-time, on-site role as a Mathematics Faculty Member at the Indian School of Business and Finance in Delhi, India. The position involves teaching mathematics courses, conducting research, mentoring students, and contributing to academic and institutional committees and initiatives. Qualifications Expertise in Pure and Applied Mathematics, including Linear Algebra and Calculus Experience in teaching mathematics at the undergraduate or graduate level Strong analytical and logical reasoning skills Excellent communication and presentation skills Ability to collaborate with colleagues and contribute to academic initiatives Ph.D. in Mathematics or a related field is desirable Show more Show less

About the Role: We are looking for a passionate Mathematics Teacher to teach students from Grade 1 to 12, covering foundational numeracy to advanced problem-solving across international boards such as IB, IGCSE, CBSE, and more. Candidates should be well-versed in customizing teaching methods for early learners as well as senior students preparing for competitive exams. Key Responsibilities: Teach Math from basic arithmetic to advanced topics like Calculus, Algebra, Statistics, and Geometry Use visual and interactive tools for younger students Prepare curriculum-aligned lesson plans and assessments Track student progress and communicate with parents regularly Requirements: Degree in Mathematics/Engineering/Science or related discipline 2+ years of teaching experience across grade levels Exposure to international boards (IB, IGCSE, etc.) is a plus Creativity and empathy in dealing with students of different age groups Show more Show less

Key Responsibilities ! Collaborate closely with the research team to gain in-depth understanding of AI model architecture ! Design and implement AI model architecture using C++ and processor specific SIMD instructions, contributing to the AI Model Library ! Assess, refine, and troubleshoot code to achieve optimal performance and efficiency ! Produce robust, reusable, and rigorously tested code ! Ensure compliance with coding standards through comprehensive code reviews ! Develop and integrate libraries, APIs, and frameworks ! Debug, test, and deploy applications and systems ! Stay current with industry best practices and advancements in C++ and related technologies ! Participate in problem-solving activities and contribute to the design of project architectures. Skill Set & Qualifications ! Bachelor’s degree in Computer Science, Engineering, or related field ! Proven experience as a C++ Developer (3+ years) ! Experience with C++11, C++14, C++17, or C++20 features ! Strong knowledge of C++ programming, especially memory managemenP ! Experience with multi-threading, concurrency, and performance optimization ! Strong debugging, problem-solving, and analytical skills ! Familiarity with Linux/Unix-based systems ! Exposure to real-time systems or embedded systems ! Familiarity with Linear Algebra, Probability and Statistics. Skills: embedded systems,debugging,probability,c++20,c++17,architecture,memory management,c++14,real-time systems,linux/unix,statistics,code,c++11,c,analytical skills,computer science,performance optimization,problem-solving,concurrency,multi-threading,c++,linear algebra,coding standards Show more Show less

Role Description As a Technical Interviewer Intern at Newton School of Technology, you will interview potential candidates for our programs. This internship is an excellent opportunity for individuals looking to gain hands-on experience in technical assessments and talent evaluation while contributing to shaping the future of tech talent. Responsibilities Conduct technical and behavioral interviews for candidates applying to the program. Evaluate candidates' proficiency in coding, problem-solving, mathematics, and core technical skills based on predefined assessment criteria. Provide structured and constructive feedback to support the admissions team in reviewing candidates' applications. Assist the admissions team by scheduling interviews, maintaining accurate candidate records, and ensuring a smooth evaluation process. Learn and apply best practices in interviewing, candidate assessment, and unbiased evaluation methods. Collaborate with mentors and subject matter experts to continuously refine the interview process and uphold fairness and consistency in assessments. Requirements Pursuing or recently completed a degree in Computer Science, Information Technology, or a related technical field from a Tier-1 Engineering College. Solid foundation in Mathematics, including key concepts in discrete math, linear algebra, probability, and statistics. Basic knowledge of Coding, Data Structures, & Algorithms, and Problem-Solving Techniques. Strong communication and interpersonal skills to effectively interact with candidates and team members. Keen interest in learning about interview processes, talent evaluation, and technical assessment best practices. Proactive attitude, high attention to detail, and adaptability to work in a dynamic, fast-paced environment. Familiarity with online coding platforms (e.g., HackerRank, LeetCode) and virtual interviewing tools is a plus. Show more Show less

About The Team Our Data Science team is the Avengers to Meesho’s S.H.I.E.L.D 🛡️. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We’ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.🔍 You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. But wait – there’s more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting “Summer of 69” at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ☺️ About The Role Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers. What You Will Do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What You Will Need Bachelor's/Master's degree in computer science (or similar degrees) 2-4 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning, etc Familiarity with tools like SQL, R, Python, etc. Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus Points For Experience in working on personalization or other ML problems Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift Show more Show less

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights. How You Will Contribute You will: Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization. In this role you will also formulate hypotheses and test them using math, statistics, visualization and predictive modeling Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the business. After that you will work with stakeholders to determine how to use business data for business solutions/insights Enable data-driven decision making by creating custom models or prototypes from trends or patterns discerned and by underscoring implications. Coordinate with other technical/functional teams to implement models and monitor results Apply mathematical, statistical, predictive modelling or machine-learning techniques and with sensitivity to the limitations of the techniques. Select, acquire and integrate data for analysis. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data Develop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracy Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements What You Will Bring A desire to drive your future and accelerate your career and the following experience and knowledge: Strong quantitative skillset with experience in statistics and linear algebra. A natural inclination toward solving complex problems Knowledge/experience with statistical programming languages including R, Python, SQL, etc., to process data and gain insights from it Knowledge of machine learning techniques including decision-tree learning, clustering, artificial neural networks, etc., and their pros and cons Knowledge and experience in advanced statistical techniques and concepts including, regression, distribution properties, statistical testing, etc. Good communication skills to promote cross-team collaboration Multilingual coding knowledge/experience: Java, JavaScript, C, C++, etc. Experience/knowledge in statistics and data mining techniques including random forest, GLM/regression, social network analysis, text mining, etc. Ability to use data visualization tools to showcase data for stakeholders More About This Role You will represent and communicate data requirements to help us understand our data assets and the relationships among them. You will investigate, analyze and scope data requirements to support the development of data integration, data retrieval and reusable data sets. What you need to know about this position: The Data Scientist will be responsible for advanced forecasting methodologies for demand forecasting to generate better forecasting results in terms of accuracy and bias Determine, create and maintain the best Statistical models be to be used by considering SKU demand behavior using segmentation strategy to generate high-quality demand statistical forecast with low forecast error and bias Refine forecasting models by reviewing forecast performance and incorporating feedback from the Demand Planner to improve forecast error and bias metrics Analyze the model performance every month/week where MAPE (Main Absolute Percentage Error) is deteriorating and post process the output and if required finetune the output Propose additional strategies to have a better code (efficient or more accurate) to execute in Databricks. Collaborate with Demand Planners to provide explainability of models and gather feedback to improve the models Lead, develop, and deploy some algorithms built on databricks that help to make the predictive process more efficient and accurate. What extra ingredients you will bring: Lead statistical forecasting process to provide business a statistical base forecast for its demand planning process. Lead some continuous improvement projects to get a more efficient, robust, and accurate models to predict. Analyze business requirements as a guide for data modeling and apply data analysis, design, modeling, and quality assurance techniques, based on a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions Manage the iteration, review and maintenance of data requirements and data models and you will assist in creating the sematic layer of data Choose a suitable data modeling approach for each project, such as by assessing the suitability of existing data models and build data models with the flexibility to change when business requirements change Reconcile multiple logical source models into a single, logically consistent model and you will ensure that the proposed model follows data architecture guidelines and best practices Design, build, implement and/or maintain Python/PySpark algorithms to execute predictive analysis which help to improve planning processes. Analyse code, define and implement strategies to have more accurate and efficient results Education / Certifications: Bachelor's Degree required. Masters in quantitative field of Statistics, Applied Mathematics or Engineering, with specific full-time courses in Analytics preferred Certifications Google Cloud Platform as Data Scientist, or Data Analyst, or in Databricks (nice to have) Experience in any Data Science language like Python (preferred), PySpark (preferred), R, Julia. Experience developing and deploying Statistical and/or machine learning solutions. Knowledge and experience in data science cloud platforms like Databricks (preferred) or similar. +5 years of applied knowledge of analytical techniques in statistical modelling, machine learning with exposure to forecasting domain especially driver-based forecasting Experience on working with FMCG, Food & Beverages, Retail or similar industry data with understanding the business process will be an advantage (nice to have) Should be able to articulate data science outcome into business understandable language Experience leading projects and/or processes Fluent English is a must Job specific requirements: A desire to drive your future and accelerate your career and the following experience and knowledge: Extensive experience in data modeling in a large complex business with multiple systems Ability to simplify complex problems and communicate them to a broad audience Design, build, implement and/or maintain Python/PySpark algorithms to execute predictive analysis which help to improve planning processes. Analyze code, define, and implement strategies to have more accurate and efficient results Working in cloud computing environments with tools like databricks and help MDLZ to have better practices on it. Aligning and coordinating activities with different areas and stakeholder to guarantee a good execution of projects and processes. Travel requirements: Work schedule: Relocation Support Available? Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our succes Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Excited to grow your career? We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! IF YOU REQUIRE SUPPORT TO COMPLETE YOUR APPLICATION OR DURING THE INTERVIEW PROCESS, PLEASE CONTACT THE RECRUITER Job Type Regular Data Science Analytics & Data Science Show more Show less

About the Role: Join an innovative and well-funded AI research team as a Mathematics Problem Solver. This position is ideal for candidates who excel in high-level mathematics, particularly topics featured in the JEE Advanced or equivalent competitive exams. You'll leverage your mathematical talent and clear communication skills to solve challenging problems and craft detailed explanations. What does day-to-day look like: You'll solve advanced high school and college-level mathematics problems, specifically those typical of competitive exams such as JEE Advanced. Tasks include: Solving complex linear equations with matrix methods, clearly outlining each step. Calculating areas enclosed between curves using integration, explaining methods thoroughly. Addressing challenging problems involving algebra, permutations and combinations, calculus, geometry, and trigonometry, typical of competitive exam standards. Your detailed and clear explanations will help learners grasp complex mathematical concepts effectively. Required Skills and Qualifications: Strong Mathematical Proficiency: Solid knowledge of algebra, calculus, geometry, and trigonometry at the JEE Advanced/high-school advanced level. Problem-Solving Ability: Skillful and creative approach to complex mathematical problems. Clear Communication: Exceptional ability to break down mathematical solutions into easy-to-follow steps. Effective Time Management: Able to meet deadlines and efficiently manage tasks. Technical Requirements: Access to a reliable desktop or laptop, stable internet connection, and proficiency with mathematical tools or software. Preferred: Bachelor's degree or higher in Mathematics, Engineering, Physics, or a related field; however, exceptional candidates without formal degrees are highly encouraged to apply. Previous experience teaching, tutoring, or creating educational content for high school or competitive mathematics (JEE). Familiarity with JEE exam structures (Main and Advanced). Experience with mathematical tools such as LaTeX, Google Colab, or similar. What We Offer: Competitive compensation reflective of your skills and experience. Flexible working hours with fully remote work options. An opportunity to be part of pioneering AI research initiatives. Potential for long-term collaboration and growth based on performance. Application & Selection Process: (Approximately 2 weeks) Online Mathematics Assessment Interview (for candidates who successfully clear the assessment) Optional Mock Teaching Session (selected candidates only) Show more Show less

Role Overview: A well-funded AI research and development company seeks candidates with excellent mathematical and problem-solving skills. Ideal applicants will have a strong understanding of high school mathematics, particularly at the JEE Advanced level, and possess the ability to clearly communicate complex mathematical solutions. What does day-to-day look like: You would spend time-solving various advanced high school math problems, including those at the JEE level/Engineering Entrance Exam or Engineering College level, and creating detailed explanations. Here are a couple of examples of the types of problems you might encounter: Solve a complex system of linear equations using matrices and explain the process step-by-step. Find the area of a region bounded by a parabola and a line, using integration techniques, and explain the method in detail. Solve challenging problems involving algebraic identities, permutations and combinations, and calculus, typical of JEE Advanced level questions. Note: A strong foundation in high school mathematics is required, but no other specialized domain experience is needed. Requirements: Mathematical Skills: Strong proficiency in algebra, geometry, trigonometry, and calculus at the high school or JEE Advanced level. Problem-Solving: Ability to approach mathematical challenges systematically and creatively. Communication: Skill in clearly explaining detailed solutions step-by-step. Time Management: Efficient at solving problems accurately within given deadlines. Availability: Able to commit full-time (40 hours/week). Technical Setup: Reliable desktop or laptop, stable internet connection, and relevant mathematical software/tools. Preferred Qualifications: Bachelor’s degree in Mathematics, Engineering, Physics, or related disciplines; candidates without a formal degree but with exceptional mathematical skills are encouraged to apply. Experience teaching or tutoring mathematics at high school or JEE level. Familiarity with JEE Main and Advanced exam structures. Experience using mathematical software (e.g., LaTeX, Google Colab). Benefits: Competitive pay based on experience and skill level. Flexible working hours with fully remote options. Opportunity to collaborate on cutting-edge AI projects with industry-leading companies. Potential for ongoing collaboration and contract extension based on performance. Application Process: (approximately 2 weeks) Online Math Assessment Interview (upon passing assessment) Optional Mock Teaching Session (for selected candidates) Show more Show less

Role Overview: A well-funded AI research and development company seeks candidates with excellent mathematical and problem-solving skills. Ideal applicants will have a strong understanding of high school mathematics, particularly at the JEE Advanced level, and possess the ability to clearly communicate complex mathematical solutions. What does day-to-day look like: You would spend time-solving various advanced high school math problems, including those at the JEE level/Engineering Entrance Exam or Engineering College level, and creating detailed explanations. Here are a couple of examples of the types of problems you might encounter: Solve a complex system of linear equations using matrices and explain the process step-by-step. Find the area of a region bounded by a parabola and a line, using integration techniques, and explain the method in detail. Solve challenging problems involving algebraic identities, permutations and combinations, and calculus, typical of JEE Advanced level questions. Note: A strong foundation in high school mathematics is required, but no other specialized domain experience is needed. Requirements: Mathematical Skills: Strong proficiency in algebra, geometry, trigonometry, and calculus at the high school or JEE Advanced level. Problem-Solving: Ability to approach mathematical challenges systematically and creatively. Communication: Skill in clearly explaining detailed solutions step-by-step. Time Management: Efficient at solving problems accurately within given deadlines. Availability: Able to commit full-time (40 hours/week). Technical Setup: Reliable desktop or laptop, stable internet connection, and relevant mathematical software/tools. Preferred Qualifications: Bachelor’s degree in Mathematics, Engineering, Physics, or related disciplines; candidates without a formal degree but with exceptional mathematical skills are encouraged to apply. Experience teaching or tutoring mathematics at high school or JEE level. Familiarity with JEE Main and Advanced exam structures. Experience using mathematical software (e.g., LaTeX, Google Colab). Benefits: Competitive pay based on experience and skill level. Flexible working hours with fully remote options. Opportunity to collaborate on cutting-edge AI projects with industry-leading companies. Potential for ongoing collaboration and contract extension based on performance. Application Process: (approximately 2 weeks) Online Math Assessment Interview (upon passing assessment) Optional Mock Teaching Session (for selected candidates) Show more Show less

Role Overview: A well-funded AI research and development company seeks candidates with excellent mathematical and problem-solving skills. Ideal applicants will have a strong understanding of high school mathematics, particularly at the JEE Advanced level, and possess the ability to clearly communicate complex mathematical solutions. What does day-to-day look like: You would spend time-solving various advanced high school math problems, including those at the JEE level/Engineering Entrance Exam or Engineering College level, and creating detailed explanations. Here are a couple of examples of the types of problems you might encounter: Solve a complex system of linear equations using matrices and explain the process step-by-step. Find the area of a region bounded by a parabola and a line, using integration techniques, and explain the method in detail. Solve challenging problems involving algebraic identities, permutations and combinations, and calculus, typical of JEE Advanced level questions. Note: A strong foundation in high school mathematics is required, but no other specialized domain experience is needed. Requirements: Mathematical Skills: Strong proficiency in algebra, geometry, trigonometry, and calculus at the high school or JEE Advanced level. Problem-Solving: Ability to approach mathematical challenges systematically and creatively. Communication: Skill in clearly explaining detailed solutions step-by-step. Time Management: Efficient at solving problems accurately within given deadlines. Availability: Able to commit full-time (40 hours/week). Technical Setup: Reliable desktop or laptop, stable internet connection, and relevant mathematical software/tools. Preferred Qualifications: Bachelor’s degree in Mathematics, Engineering, Physics, or related disciplines; candidates without a formal degree but with exceptional mathematical skills are encouraged to apply. Experience teaching or tutoring mathematics at high school or JEE level. Familiarity with JEE Main and Advanced exam structures. Experience using mathematical software (e.g., LaTeX, Google Colab). Benefits: Competitive pay based on experience and skill level. Flexible working hours with fully remote options. Opportunity to collaborate on cutting-edge AI projects with industry-leading companies. Potential for ongoing collaboration and contract extension based on performance. Application Process: (approximately 2 weeks) Online Math Assessment Interview (upon passing assessment) Optional Mock Teaching Session (for selected candidates) Show more Show less

Role Overview: A well-funded AI research and development company seeks candidates with excellent mathematical and problem-solving skills. Ideal applicants will have a strong understanding of high school mathematics, particularly at the JEE Advanced level, and possess the ability to clearly communicate complex mathematical solutions. What does day-to-day look like: You would spend time-solving various advanced high school math problems, including those at the JEE level/Engineering Entrance Exam or Engineering College level, and creating detailed explanations. Here are a couple of examples of the types of problems you might encounter: Solve a complex system of linear equations using matrices and explain the process step-by-step. Find the area of a region bounded by a parabola and a line, using integration techniques, and explain the method in detail. Solve challenging problems involving algebraic identities, permutations and combinations, and calculus, typical of JEE Advanced level questions. Note: A strong foundation in high school mathematics is required, but no other specialized domain experience is needed. Requirements: Mathematical Skills: Strong proficiency in algebra, geometry, trigonometry, and calculus at the high school or JEE Advanced level. Problem-Solving: Ability to approach mathematical challenges systematically and creatively. Communication: Skill in clearly explaining detailed solutions step-by-step. Time Management: Efficient at solving problems accurately within given deadlines. Availability: Able to commit full-time (40 hours/week). Technical Setup: Reliable desktop or laptop, stable internet connection, and relevant mathematical software/tools. Preferred Qualifications: Bachelor’s degree in Mathematics, Engineering, Physics, or related disciplines; candidates without a formal degree but with exceptional mathematical skills are encouraged to apply. Experience teaching or tutoring mathematics at high school or JEE level. Familiarity with JEE Main and Advanced exam structures. Experience using mathematical software (e.g., LaTeX, Google Colab). Benefits: Competitive pay based on experience and skill level. Flexible working hours with fully remote options. Opportunity to collaborate on cutting-edge AI projects with industry-leading companies. Potential for ongoing collaboration and contract extension based on performance. Application Process: (approximately 2 weeks) Online Math Assessment Interview (upon passing assessment) Optional Mock Teaching Session (for selected candidates) 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 Liquidity Trading and Investment (LTI) 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 around 2 years’ experience to join AFE Liquidity Trading and Investment (LTI) team focusing on model governance and research of Trading and Liquidity models 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: Model Governance: work on the research and development of a model surveillance and model performance framework for the Liquidity Trading and Investments models Responsibilities will include implementation and maintenance of the model surveillance and performance monitoring infrastructure for the models supported by the team. 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). 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, equities 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. #EarlyCareers 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

Intern Financial Market Analyst (Quantitative Mathematics) (Position ##1005_INT) Location: Jaipur, India Position Summary: Strategy Ideation & Prototyping Formulate quantitative trading hypotheses based on mathematical constructs such as time-series patterns, stochastic processes, statistical arbitrage, and volatility-based signals. Utilize basic tools from probability theory, linear algebra, calculus, or signal processing to design rule-based models that respond to market conditions. Explore ideas inspired by physical systems such as mean-reverting dynamics (harmonic oscillators), momentum (inertia), and diffusion, and adapt them into simplified trading signals. Convert mathematical logic into parameterized models with testable conditions (e.g., thresholds, spreads, slopes, moving averages). Evaluate preliminary strategies using historical data and simplified backtesting tools provided within the internal trading platform. Job Profile: Collaborative Model Development Work with internal developers to translate logic and conditions into code-compatible formats. Learn how trading rules are implemented using SDK-based infrastructure and Lua-based scripting. Real-Time Strategy Testing Deploy your ideas in a test environment and observe their performance using live data. Use feedback and outcomes to iterate and improve strategy quality and robustness. Understand practical trading constraints like risk management, execution delays, and edge preservation. Who Should Apply? This program is ideal for final year students or recent graduates with a strong foundation in logic and analytical thinking, and an eagerness to apply theoretical knowledge in real-world financial markets. Requirements Education Qualifications Final year students or recent graduates in Mathematics, Physics, Engineering, or any quantitative discipline. Work Experience Skill Set Strong interest in numbers, logic, and patterns. Basic understanding of algebra, probability, or statistics. Exposure to coding (e.g., Python, C , or Excel macros) is a bonus but not necessary. Curiosity about markets or decision-making under uncertainty. Self-driven, eager to experiment, and open to feedback. What We Offer Direct Market Exposure: Work with live market data and see your ideas tested in real-time. Hands-On Learning: Learn practical aspects of trading and model development in a structured environment. Mentorship: Collaborate with experienced traders and developers who guide your journey. Merit-Based Growth: Top performers may get capital allocation and transition into trading roles. Freedom to Explore: Work on ideas that excite you and refine them with our support. DATE OF JOINING: JULY, 2025 CANDIDATES WHO HAVE TAKEN OUR RECRUITMENT PROCESS WITHIN THE LAST 1 YEAR ARE NOT ELIGIBLE TO APPLY. Show more Show less