113 Applied Mathematics Jobs - Page 5

Job Description: PGT Mathematics Teacher Location: Padur & Neelankarai Experience Required: 3-5 years of teaching experience Educational Qualification: Bachelors or Masters degree in Mathematics with a B.Ed. degree (mandatory) Joining Requirement: Immediate Job Overview We are seeking enthusiastic and skilled PGT Mathematics Teachers to join our team. The ideal candidate will possess strong subject knowledge, excellent teaching skills, and the ability to foster a love for mathematics among students. Key Responsibilities: Teaching and Curriculum Delivery: Plan and deliver engaging mathematics lessons for middle and secondary school students. Ensure adherence to CBSE curriculum standards. Use innovative teaching techniques to simplify complex mathematical concepts. Student Development: Foster analytical thinking and problem-solving skills in students. Identify and support individual learning needs, ensuring all students achieve their potential. Provide regular feedback to students and parents on academic progress. Classroom Management: Maintain discipline and a positive learning environment in the classroom. Encourage active participation and ensure student engagement. Assessment and Reporting: Prepare, conduct, and evaluate assignments, tests, and examinations. Maintain accurate records of student performance and attendance. Collaboration and Professional Development: Collaborate with fellow teachers to develop and share teaching resources. Participate in staff meetings, workshops, and other professional development activities. Skills and Qualifications Subject Expertise: Strong knowledge of Mathematics and the ability to teach complex topics effectively. Teaching Certification: B.Ed. degree is mandatory. Communication Skills: Excellent verbal and written communication skills. Technology Proficiency: Familiarity with digital teaching tools and techniques. Classroom Management: Ability to maintain a disciplined and interactive classroom environment. Key Attributes Passionate about teaching and inspiring young minds. Patient, approachable, and empathetic towards students. Innovative in teaching methods and adaptable to modern education trends. Strong organizational and time-management skills.

We're hiring PhD Math Experts for an AI Trainer role! Work on training AI models by solving, reviewing, and improving advanced math content. Strong subject knowledge and written skills required. Apply now to help shape the future of AI in education!

We are looking for an Operations Executive to manage and optimize digital ad campaigns, handle ad trafficking, and provide performance reports. The ideal candidate should have strong analytical skills and experience with ad-serving platforms.

Job Title S&C GN AI Managed service Data Operations Analyst Management Level:11 Analyst Location:Hyderabad Must have skills:Python, Pyspark, Databricks, AI/ML Good to have skills:cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models, Exposure to Retail, Banking, Healthcare projects. Job Summary : An opportunity to work on high-visibility projects with top clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Roles & Responsibilities: As a Data Operations Analyst, you would be responsible to ensure our esteemed business is fully supported in using the business-critical AI enabled applications. This involves solving day-to-day application issues, business queries, addressing adhoc data requests to ensure clients can extract maximum value for the AI applications. Debug issues related to data loads, batch pipeline, application functionality including special handling of data/batch streams. Monitor and maintain pre-processing pipelines, model execution batches and validation of model outputs. In case of deviations or model degradation, take up detailed root cause analysis and implement permanent fixes. As a Data Operations Analyst, you would be working on initial triaging of code related defects/issues, provide root cause analysis and implement code fix for permanent resolution of the defect. Design, build, test and deploy small to medium size enhancements that deliver value to business and enhance application availability and usability. Responsible for sanity testing of use cases as part of pre-deployment and post-production activities. Primarily responsible for Application availability and stability by remediating application issues/bugs or other vulnerabilities. Data Operations Analysts evolve to become Subject Matter Experts as they mature in servicing the applications. Professional & Technical Skills: Bachelor's or Master's degree in any engineering stream or MCA. Experience/Education on Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems is preferable. Proven experience (2+ years) in working as per the above job description is required. Exposure to Retail, Banking, Healthcare projects is added advantage. Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the data visualization tools like Tableau, Qlikview, and Spotfire is good. Knowledge on PowerBI & PowerApps is an added advantage. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. Qualifications Experience:Minimum 2+ year(s) of experience is required Educational Qualification:B.Tech/BE or MCA

Job Title - Data Eng, Mgmt. & Governance - Analyst – S&C Global Network Management Level: 11 Location: Hyderabad Must have skills: Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc. Good to have skills: Exposure to Retail, Banking, Healthcare projects and knowledge of PowerBI & PowerApps is an added advantage. Job Summary :As a Data Operations Analyst, you would be responsible to ensure our esteemed business is fully supported in using the business-critical AI enabled applications. This involves solving day-to-day application issues, business queries, addressing adhoc data requests to ensure clients can extract maximum value for the AI applications. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"”from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Roles & Responsibilities: Monitor and maintain pre-processing pipelines, model execution batches and validation of model outputs. In case of deviations or model degradation, take up detailed root cause analysis and implement permanent fixes. Debug issues related to data loads, batch pipeline, application functionality including special handling of data/batch streams. As a Data Operations Analyst, you would be working on initial triaging of code related defects/issues, provide root cause analysis and implement code fix for permanent resolution of the defect. Design, build, test and deploy small to medium size enhancements that deliver value to business and enhance application availability and usability. Responsible for sanity testing of use cases as part of pre-deployment and post-production activities. Primarily responsible for Application availability and stability by remediating application issues/bugs or other vulnerabilities. Data Operations Analysts evolve to become Subject Matter Experts as they mature in servicing the applications. Professional & Technical Skills: Proven experience (2+ years) in working as per the above job description is required. Experience/Education on Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems is preferable. Proven experience (2+ years) in working as per the above job description is required. Exposure to Retail, Banking, Healthcare projects is added advantage. Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the data visualization tools like Tableau, Qlikview, and Spotfire is good. Knowledge on PowerBI & PowerApps is an added advantage. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. Additional Information: - The ideal candidate will possess a strong educational background in computer science or a related field.- This position is based at our Hyderabad office. About Our Company | Accenture Qualification Experience: Minimum 2 years of experience is required Educational Qualification: Bachelors’ or masters’ degree in any engineering stream or MCA.

About the Role: We are seeking highly skilled Mathematics professionals to create Chain of Thought (CoT) Q&As for complex mathematical problem-solving. The ideal candidates must have a deep understanding of mathematical concepts, logical reasoning, and structured problem-solving methodologies. Proficiency in LaTeX is essential. Key Responsibilities: Develop high-quality Chain of Thought Q&As across various mathematical domains. Ensure logical coherence and step-by-step reasoning in question and solution design. Utilize LaTeX for precise and well-formatted mathematical expressions. Collaborate with the team to ensure consistency and quality in problem formulation. Conduct thorough reviews to maintain accuracy and adherence to prescribed standards. Required Qualifications: Strong expertise in the following areas: Algebra, Calculus, Probability, Linear Algebra, Discrete Mathematics, Number Theory, and Differential Equations. Experience in designing structured problem-solving approaches. Proficiency in LaTeX for mathematical typesetting and documentation. Prior experience in academic content creation, research, or structured Q&A development is a plus. Skills & Competencies: Strong analytical and problem-solving skills. Excellent attention to detail and logical reasoning. Ability to break down complex problems into structured, step-by-step solutions. Strong communication skills for articulating mathematical reasoning. Preferred Qualifications: Experience in AI/ML-driven problem formulation or model evaluation. Familiarity with educational technology and online assessment platforms. Red teaming experience will be preferred. Candidates should have 6 months to 2 years of experience in the relevant field. Interested candidates please share your CV to : aagarwal1@innodata.com

SENIOR OPTIMIZATION ENGINEER Hyderabad Role Senior Optimization Engineer Contract type Permanent About the role As a Senior Optimization Engineer you provide technical expertise in the area of numerical optimization of thermo-fluid systems which are core to the Company's business this includes trade-off and optimize energy efficiency, production cost and operating economy. You engage with global product teams to solicit business needs and convert those into computational decision-making workflows, methods and tools to radically impact how company's products are designed, deployed and operated. Key targets include improving engineering effectiveness as well as developing disruptive, innovative methods for model-based design and operation of company's systems. You also take active part in product development to support design engineers in adopting and using new methods and tools. You also work closely with other teams in Systems, Controls, ML/AI COE, including teams responsible for model development (to drive the development of optimization-friendly thermo-fluid models) and controls engineering (to promote the use of computational optimization strategies (MPC, RTO) as needed). We are offering you We are committed to offering competitive benefits programs for all of our employees and enhancing our programs when necessary. A dynamic and international work environment in a company with high technology products. A strong growth strategy and people who are passionate about what they do. Requirements Education MEng or PhD in a relevant Engineering discipline (e.g., applied mathematics, mechanical or chemical engineering) with 5+ years of experience. Skills and qualifications Proven ability to capture engineering design and operation problems as mathematical programming problems (NLPs), including attention to reliable convergence of such problems. Proficient with the mathematical theory (applied mathematics, numerical analysis and functional analysis), algorithmic foundations (notably existence and convergence proofs), and methods/tools for numerical optimization (SQP, interior point method, etc.) of large-scale systems. Experience from using common algorithms/solvers for large-scale gradient-based non-linear programs, e.g., IPOPT, CONOPT, KNITRO, and WORHP, including their respective applicability to different types of problems. Experience from formulating and solving discrete optimization problems and using common algorithms, including CPLEX and Gurobi. Familiarity with physics-based modeling principles and best practices of thermo-fluid systems, such as vapor compression cycles or power plants. Familiarity and experience with development of computational platforms and tools in Python or equivalent. Familiarity with using HPC and cloud-based platforms for computation at scale. Demonstrated ability to work as part of a multidisciplinary team and an entrepreneurial attitude towards technological innovation in a global environment. Self-starter who is well-organized in an international team environment, with proven communication skills. Responsibilities Deployment. Support that methods and tools developed in the group impact the company's business through engagement in global product projects, including capture and formulation of computational problems arising in such projects. Methods, tools and algorithms. Ensure that appropriate computational methods, tools and algorithms for large-scale numerical optimization are based on sound mathematical foundations and are deployed to match the needs of the company's business, including contributing to the architecture, development, testing and documentation of the methods and tools developed in the group. Modeling for optimization. Support development of mathematical models for thermo-fluid systems are built based on principles and best practices that secure reliable application of numerical optimization algorithms. Talent. Support development and training of staff within company's product teams and within the Computational Engineering group; contribute to talent pipeline by supervising student internships and theses.

About the Team: Join a world-class product development organization at IBM, driving innovation across IBM Z and POWER System servers, Storage and Quantum. The Thermal and Mechanical Design team is seeking a skilled professional in thermal modeling with hands-on experience in building, testing, and validating thermal solutions. You’ll be part of a multidisciplinary team developing high-performance, high-reliability server hardware. Role Overview: As a Thermal Modeler, you will design and optimize IBM module and server hardware systems to meet thermal and mechanical requirements. You’ll collaborate with cross-functional teams to ensure designs meet performance, safety, and manufacturability standards. Your work will involve simulation, validation, and providing actionable insights to guide engineering decisions. Key Responsibilities: Develop steady-state and transient CFD-based thermal models using CAD and FVM tools. Acquire and analyze material properties to enhance model accuracy. Validate simulation predictions through lab testing and data analysis. Prepare detailed reports and presentations for stakeholders. Provide design guidelines for thermal hardware components including laminates, TIMs, cold plates, chips, GPUs, HBMs, and actuation hardware. Influence design decisions to ensure robust thermal solutions for IBM server systems. Required education Master's Degree Preferred education Doctorate Degree Required technical and professional expertise Master’s or PhD in Mechanical Engineering with a focus on Thermal or Structural Mechanics. 3+ years of experience in FEM and/or CFD. Proficiency in CAD tools (SolidWorks preferred) and simulation tools like Ansys. Experience with lab tools and design for manufacturability. Strong communication, problem-solving, and time management skills. Ability to work independently and in cross-functional teams. Preferred technical and professional experience 5+ years of experience in thermal modeling and FEA/FVM using tools like FloTherm, SixSigmaET (Celsius), Ansys IcePak, or Fluent. Experience in structural FEA for stress, strain, and warpage prediction. Knowledge of moisture diffusion and swelling simulations. Familiarity with server and computer architecture. Expertise in thermal management of microelectronic packages. Hands-on experience with lab tools such as laser flash conductivity and DSC. Proficiency in applied statistics and DOE using tools like Minitab or JMP. Programming experience in MATLAB, Python, LabVIEW, or C++.

Primary Responsibilities: The Data Scientist will play an analytical role researching, designing, implementing and deploying the machine learning solutions to support house call member engagements Develop intelligent solutions to drive increase in HouseCalls penetration rate by using unstructured data like voice and text Consolidate internal and external data to establish member journey line across different programs Establish analytic machine learning models to increase member outbound reach experience and NPS scores, implement the solutions into applications or operation Drive inbound scheduling through text mining in scripting and NLP Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelors degree in Applied Mathematics, Physics, Computer Sciences, Information Management, Statistics, Actuarial Science or a related technical field 3+ years of experience in Python 2+ years of experience working with large databases or data-warehouses to create meaningful, usable data structures to extract information out of application transactional data Experience working for a large enterprise with fragmented data sources, lack of documentation, unstructured requirements and ambiguity Experience working with business stakeholders and senior leaders in understanding data analytics and information needs, and executing on transformation of high-level, abstract data needs into meaningful data management solutions, information and analysis Experience understanding and managing business data and information, and the ability to correlate business processes to data Experience converting raw data into processed, actionable, insightful information Demonstrated solid ability to communicate highly technical issues/results to a diverse audience both verbally and in written Proven solid execution mentality Preferred Qualifications: MS or PhD 1+ years of Speech Recognition modeling and/or NLP

Key Responsibilities Collect, clean, and organize datasets from various sources. Analyze data to identify trends, patterns, and actionable insights. Prepare reports, dashboards, and visualizations using tools like Excel, Power BI, or Tableau . Work closely with cross-functional teams to understand data needs and deliver solutions. Maintain data accuracy and integrity through quality checks. Assist in creating and automating recurring data reports for management. Required Skills & Qualifications Bachelors degree in Statistics, Mathematics, Computer Science, Engineering , or related field. Strong knowledge of MS Excel (VLOOKUP, Pivot Tables, etc.). Basic understanding of SQL and/or any data visualization tool (Power BI, Tableau, etc.). Analytical mindset with strong problem-solving skills. Good communication and presentation skills. Good to Have Knowledge of Python or R for data analysis. Internship experience or academic projects in data analytics. Familiarity with statistical concepts and data modeling.

Role & responsibilities TGT/PGT MATHEMATICS TEACHER. Preferred candidate profile EXPERIENCED IN CBSE CURRICULUM. FLUENCY IN ENGLISH. RESIDENTIAL FACILITIES FOR OUT STATION CANDIDATES ARE AVAILABLE.

Tools experience required: Computer vision, Image processing, C++, Open CV, & Camera calibration Qualification: BE, B.Tech, M.Tech, ME, MCA Mode of work: Hybrid mode of work Job Requirements: Experience in software design and implementation. Proficient in C++ and Object Oriented Analysis & Object Oriented Design Methodologies Deep theoretical & practical background in Applied Mathematics, Optimization, Signal Processing, Object/Pattern Recognition. Experience in debug and bring-up of prototype HW/SW systems including optics, illumination, imaging sensors, and their interactions with motion systems Experience or exposure in using machine learning techniques such as developing a high level image scene classifier and/or applying adaptive vision algorithms based on features extraction and data mining, ability to construct the whole system from concept development, data collection, real time implementation to field deployment. Computer vision with algorithms, implementation. Strong experience in to image processing and Open CV Camera calibration. Hands on C++ Hands on basic concepts on spatial filtering, edge detection, histogram analysis, morphological processing, pattern matching, camera calibration.

What you’ll do : Write complex SQL queries for data extraction, perform exploratory data analysis (EDA) to uncover insights. Strong proficiency in Python and Py Spark for scalable data processing and analytics. Create, transform, and optimize features to enhance model performance. Train, evaluate, and maintain machine learning models in production. Write efficient, maintainable, and version-controlled code that handles large datasets. Regularly update internal teams and clients on project progress, results, and insights. Conduct hypothesis testing and experiment analysis to drive data-driven decisions using AB testing. Scaling machine learning algorithms to work on massive data sets and strict SLAs. Automate operations pipeline which runs on regular intervals to update required datasets. What You’ll Bring: A master’s or bachelor’s degree in computer science or a related field from a top university. 4+ years of hands-on experience in Machine Learning (ML) or Data Science with a focus on building scalable solutions. Strong programming expertise in Python and PySpark is must. Proven ability to write highly optimized SQL queries for efficient data extraction and transformation. Experience in feature engineering, inferencing pipelines, and real-time model prediction deployment. Strong fundamentals in applied statistics , with expertise in A/B test design and hypothesis testing. Solid understanding of distributed computing systems and hands-on experience with at least one cloud platform (GCP, AWS, or Azure) Additional Skills Understanding of Git, DevOps, CI / CD, data security, experience in designing on cloud platform. Experienced in automating operations using job scheduler like Airflow Experience in data engineering in Big Data systems