9 Mathematical Knowledge Jobs

You are a highly skilled and innovative Data Scientist who is passionate about advancing the fields of Classical Machine Learning, Conversational AI, and Deep Learning Systems. Your role involves developing cutting-edge AI-based systems and translating complex mathematical challenges into actionable machine learning models to ensure seamless and engaging user experiences. You will be actively participating in a wide variety of Natural Language Processing (NLP) tasks, refining and optimizing prompts to enhance the performance of Large Language Models (LLMs) such as GPT, BERT, and T5. Your key responsibilities include: - Developing innovative Generative AI solutions using machine learning and AI technologies - Designing and developing machine learning models to address complex business challenges - Training, fine-tuning, and deploying deep learning models to solve AI problems - Participating in NLP activities and optimizing prompts for LLMs - Working with large datasets, performing data preprocessing, augmentation, and feature engineering - Fine-tuning models through hyperparameter optimization and monitoring model performance - Participating in code and design reviews to ensure quality and scalability - Collaborating with cross-functional teams to integrate machine learning solutions into production - Staying up to date with the latest AI/ML trends and research Qualifications required: - Bachelors or Masters degree in Computer Science, Mathematics, Statistics, Data Science, or related field - Extensive experience in classical machine learning and deep learning systems - Proven experience in NLP, especially with LLMs like GPT, BERT, or T5 - Proficiency in Python and relevant libraries - Strong understanding of statistical modeling, probability theory, and mathematical optimization techniques - Experience with deploying machine learning models into production environments - Experience in code review, design optimization, and ensuring quality in AI/ML systems Soft skills and behavioral qualifications: - Must be a good team player and self-motivated - Excellent communication skills in English - Strong presentation skills with attention to detail - Strong aptitude for learning new techniques - Takes ownership for responsibilities - Demonstrates reliability, integrity, and trustworthiness - Ability to manage time effectively and meet/exceed deadlines Job Type: Full-time, Permanent Benefits: Health insurance, Life insurance, Paid sick time, Paid time off, Provident Fund Schedule: Day shift, Monday to Friday Performance bonus, Yearly bonus Application Question: How soon can you join Experience: Data science - 3 years (Required) Location: Jaipur, Rajasthan (Preferred) Work Location: In person,

You will be responsible for conducting in-depth analysis of complex datasets, deploying predictive models, applying optimization techniques, designing decision support systems, analyzing experiments, collaborating with cross-functional teams, staying abreast of advancements, and assessing the impact of data-driven decisions. Your main responsibilities will include: 1. Conducting in-depth analysis of complex data sets to uncover actionable insights and trends. 2. Developing and deploying predictive models to forecast business outcomes and support decision-making processes. 3. Applying optimization techniques to improve business processes and resource allocation. 4. Designing and implementing decision support systems that enable stakeholders to make data-driven decisions. 5. Designing and analyzing experiments to evaluate the effectiveness of business strategies and interventions. 6. Collaborating with cross-functional teams and stakeholders to understand business requirements and priorities. 7. Staying abreast of advancements in data science, machine learning, and decision science to enhance analytical capabilities. 8. Assessing the impact of data-driven decisions on key business metrics and outcomes and iterating on models and strategies accordingly. To be eligible for this role, you should possess a Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or a similar discipline. A Master's degree or PhD is preferred. Relevant work experience in decision science is required based on the following criteria: - Standard I: Two (2) years - Standard II: Three (3) years - Senior I: Four (4) years - Senior II: Five (5) years You should also have the following knowledge, skills, and abilities: - Fluency in English - Analytical Skills - Accuracy & Attention to Detail - Numerical Skills - Planning & Organizing Skills - Presentation Skills - Statistical and Mathematical Knowledge - Data Modeling and Visualization Skills - Programming Skills FedEx is an equal opportunity/affirmative action employer committed to a diverse, equitable, and inclusive workforce. Regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy, physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances, all qualified applicants will receive consideration for employment. FedEx, one of the world's largest express transportation companies, upholds a People-Service-Profit philosophy where people come first. The company's success is attributed to its outstanding team of FedEx members who deliver exceptional service worldwide. FedEx values its employees and invests back into the business to secure its future. Through the People-Service-Profit philosophy, FedEx encourages innovation, high-quality service, and a positive work environment for its team members. The FedEx culture and values have been fundamental to the company's success since its inception. The unique culture sets FedEx apart, making it a leading force in today's global marketplace. The company's intentional focus on culture and values drives its behaviors, actions, and activities worldwide.,

The Ops Support Specialist 5 position entails providing operations support services such as record/documentation maintenance, account maintenance, and serving as a liaison between operations staff, relationship managers, and clients. The primary objective is to offer day-to-day operations support aligned with Citi's operations infrastructure and processes. Responsibilities include resolving customer inquiries, identifying opportunities for value-added products and services, communicating with management on productivity and quality, facilitating training for staff, supporting various products and services, participating in Lean and process improvement projects, and assessing risks in business decisions. The ideal candidate should have 2-4 years of relevant experience, be proficient in Microsoft Office, possess comprehensive knowledge of the Dispute process, demonstrate problem-solving capabilities, work occasional weekends for Pega releases and COB testing, have working knowledge of Pega and/or G36 functionality, analytical and mathematical skills, and clear written and verbal communication skills. Education requirements include a High School diploma or equivalent. This job description offers an overview of the job duties, and additional responsibilities may be assigned as needed. Citi is an equal opportunity employer, and interested applicants are encouraged to apply for career opportunities. If accommodation is needed due to a disability, applicants can review Accessibility at Citi. (Note: The Job Description does not include the headers),

Responsible for conducting in-depth analysis of complex datasets, deploying predictive models, applying optimization techniques, designing decision support systems, analyzing experiments, collaborating with cross-functional teams, staying abreast of advancements, and assessing the impact of data-driven decisions. What Your Main Responsibilities Are - Conduct in-depth analysis of complex data sets to uncover actionable insights and trends. - Develop and deploy predictive models to forecast business outcomes and support decision-making processes. - Apply optimization techniques to improve business processes and resource allocation. - Design and implement decision support systems that enable stakeholders to make data-driven decisions. - Design and analyze experiments to evaluate the effectiveness of business strategies and interventions. - Collaborate with cross-functional teams and stakeholders to understand business requirements and priorities. - Stay abreast of advancements in data science, machine learning, and decision science to enhance analytical capabilities. - Assess the impact of data-driven decisions on key business metrics and outcomes and iterate on models and strategies accordingly. What We Are Looking For Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD is preferred. Relevant work experience in decision science based on the following number of years: - Standard I: Two (2) years - Standard II: Three (3) years - Senior I: Four (4) years - Senior II: Five (5) years Knowledge, Skills And Abilities - Fluency in English - Analytical Skills - Accuracy & Attention to Detail - Numerical Skills - Planning & Organizing Skills - Presentation Skills - Statistical and Mathematical Knowledge - Data Modeling and Visualization Skills - Programming Skills FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances. Our Company FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 Worlds Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding. Our Philosophy The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company. Our Culture Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today's global marketplace.,

You will be responsible for conducting in-depth analysis of complex datasets, deploying predictive models, applying optimization techniques, designing decision support systems, analyzing experiments, collaborating with cross-functional teams, staying abreast of advancements, and assessing the impact of data-driven decisions. Your main responsibilities will include: - Conducting in-depth analysis of complex data sets to uncover actionable insights and trends. - Developing and deploying predictive models to forecast business outcomes and support decision-making processes. - Applying optimization techniques to improve business processes and resource allocation. - Designing and implementing decision support systems that enable stakeholders to make data-driven decisions. - Designing and analyzing experiments to evaluate the effectiveness of business strategies and interventions. - Collaborating with cross-functional teams and stakeholders to understand business requirements and priorities. - Staying abreast of advancements in data science, machine learning, and decision science to enhance analytical capabilities. - Assessing the impact of data-driven decisions on key business metrics and outcomes and iterating on models and strategies accordingly. We are looking for candidates with a Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or a similar discipline. A Master's degree or PhD is preferred. Relevant work experience in decision science is required based on the following number of years: - Standard I: Two (2) years - Standard II: Three (3) years - Senior I: Four (4) years - Senior II: Five (5) years The ideal candidate should possess fluency in English, analytical skills, accuracy, attention to detail, numerical skills, planning and organizing skills, presentation skills, statistical and mathematical knowledge, data modeling and visualization skills, and programming skills. FedEx is an equal opportunity/affirmative action employer committed to a diverse, equitable, and inclusive workforce. Regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy, physical or mental disability, or any other characteristic protected by applicable laws, all qualified applicants will receive consideration for employment. FedEx, one of the world's largest express transportation companies, is consistently recognized as one of the top 10 Worlds Most Admired Companies by "Fortune" magazine. The company's People-Service-Profit philosophy emphasizes taking care of its employees, providing excellent service to customers, and reinvesting profits back into the business and its people. FedEx's culture and values have been key to its success and growth since its inception in the early 1970s, setting it apart in today's global marketplace.,

The Ops Support Specialist 5 role entails providing operations support services, such as record/documentation maintenance, account maintenance, and imaging. You will also serve as a liaison between operations staff, relationship managers, project managers, custodians, and clients. Your primary objective is to offer day-to-day operations support in alignment with Citi's operations support infrastructure and processes. Your responsibilities will include resolving customer inquiries, supervising escalated issues, and delivering efficient customer service to Citi's clients. You will identify opportunities to provide value-added products and services while complying with laws and regulations governing Telesales. Communication with management on productivity, quality, and MIS indicators is essential, as well as facilitating training for department staff and supporting various products and services. Additionally, you will assist in Lean and process improvement projects, resolve complex problems, assess risks in business decisions, and ensure compliance with laws and regulations. Qualifications for this role include 2-4 years of relevant experience, proficiency in Microsoft Office, comprehensive knowledge of the Dispute process, problem-solving capabilities, and willingness to work occasional weekends for support activities. You should have working knowledge of Pega and/or G36 functionality, CoB testing, and Trust Receipts (TRs), along with demonstrated analytical and mathematical skills. Strong written and verbal communication skills are crucial for this position. This role requires a graduation degree and may involve additional job-related duties as assigned. Citi is an equal opportunity employer, and interested applicants are encouraged to apply for career opportunities. If you require accommodations due to a disability, please review the Accessibility at Citi information. This job description belongs to the Operations Support job family, and it is a full-time position within Citi's operations support department.,

The Ops Support Specialist 5 position is a mid-entry-level role focused on providing operations support services. Responsibilities include record/documentation maintenance, account maintenance, imaging, and account opening in coordination with the Core Team. The specialist acts as a liaison between operations staff, relationship managers, project managers, custodians, and clients, ensuring day-to-day operations support aligned with Citi's infrastructure and processes. You will be responsible for resolving customer inquiries, managing escalated issues, and delivering efficient customer service. Identifying opportunities for value-added products and services while complying with laws and regulations is crucial. Communication with management on productivity, quality, and MIS indicators, along with providing training and assistance within the department, will be part of your role. Supporting a wide range of products and services, participating in Lean and process improvement projects, and resolving complex problems are key responsibilities. You must assess risk in business decisions, prioritize the firm's reputation, and ensure compliance with laws and regulations. Qualifications for this role include 2-4 years of relevant experience, proficiency in Microsoft Office, in-depth knowledge of the Dispute process, problem-solving capabilities, and the ability to work independently. Working occasional weekends and familiarity with Pega, G36 functionality, CoB testing, and Trust Receipts are required. Strong analytical and mathematical skills, along with clear written and verbal communication abilities, are essential. The shift for operations is US Day/India Night with a rotating schedule and weekend work. A bachelor's degree is mandatory for this position. This job description offers a comprehensive overview of the role, outlining primary duties and qualifications. Additional job-related tasks could be assigned as needed. #Operations-Support #Full-Time #Mid-Level #Customer-Service #Compliance #Communication #Problem-Solving #Analytical-Skills #Microsoft-Office #Pega #G36 #CoB-Testing #Bachelor-Degree,

The Ops Support Specialist 5 position involves providing operations support services such as record/documentation maintenance, account maintenance, and serving as a liaison between various teams. The primary responsibility is to offer day-to-day operations support in accordance with Citi's operations support infrastructure and processes. Responsibilities: - Resolve customer inquiries and handle escalated issues to ensure efficient and effective customer service - Identify opportunities to provide value-added products and services while complying with relevant laws and regulations - Communicate with management on productivity, quality, and Management Information System (MIS) indicators - Facilitate training for department staff and assist with answering staff questions within Disputes - Support a wide range of products and services - Assist with Lean and process improvement projects - Resolve complex problems by following best practices and escalating when necessary - Assess risk appropriately when making business decisions, ensuring compliance with laws and regulations and upholding ethical standards Qualifications: - 2-4 years of relevant experience - Proficiency in Microsoft Office - Thorough knowledge of Dispute process - Ability to work independently and apply problem-solving skills - Willingness to work occasional weekends for support activities - Familiarity with Pega and/or G36 functionality, Continuity of Business (CoB) testing, and Trust Receipts (TRs) - Demonstrated analytical skills and mathematical knowledge - Strong written and verbal communication skills Education: - Bachelor's degree required Shifts: - US Day/India Night - Rotating shift with work on Saturday/Sundays. 5-day work week Note: This job description is a general overview of the tasks performed, and additional job-related duties may be assigned as needed.,

We are looking for a skilled Generative AI Developer to be a part of our team and contribute to the development of advanced generative models. In this role, you will focus on creating AI systems that have the ability to produce innovative and human-like content across various domains such as natural language generation, image generation, and even video or music synthesis. To excel in this position, you should possess expertise in machine learning, deep learning, and natural language processing, along with a thorough understanding of specific generative models like GANs, VAEs, and other neural networks. Your responsibilities will involve developing and refining generative models using techniques such as GANs, VAEs, Transformers, and Diffusion models. You will also be working on tasks related to text generation, image generation, music or sound generation, video creation, and other creative AI applications. Furthermore, you will be expected to design, construct, and deploy models utilizing frameworks like TensorFlow, PyTorch, Hugging Face, OpenAI's GPT, or similar tools. It will be crucial to optimize AI models for performance, accuracy, and scalability in real-world production environments. Staying updated on the latest trends, research papers, and breakthroughs in the field of generative AI will also be a part of your role. Collaboration with other teams, such as data scientists, machine learning engineers, and product teams, to integrate models into production systems will be essential. Additionally, you will work on data preprocessing, augmentation, and designing pipelines to ensure high-quality input for model training. Documenting your code, processes, and model outputs for team-wide visibility and knowledge sharing will also be a key aspect of your responsibilities. **Required Qualifications & Skills:** - Bachelor's or Master's degree in Computer Science or related fields. - 3-4 years of hands-on experience in developing Generative AI solutions. - Strong understanding of deep learning algorithms, particularly in generative models like GANs, VAEs, Diffusion models, or large-scale language models like GPT. - Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face. - Experience working with neural networks, unsupervised learning, and natural language processing. - Proficient programming skills in Python, including deep learning libraries like TensorFlow, Keras, and PyTorch. - Familiarity with cloud platforms (AWS, GCP, or Azure) for model training and deployment. - Solid mathematical and statistical knowledge, especially in probability theory, linear algebra, and optimization. - Experience in large-scale model training, fine-tuning, or distributed computing. - Knowledge of reinforcement learning and self-supervised learning. - Understanding of AI ethics, bias mitigation, and interpretability in generative models.,