3737 Matplotlib Jobs - Page 9

Job Title: Data Scientist Location: Remote / Global About the Role We are looking for a data-driven professional to join our analytics and quality team. In this role, you will analyze the performance of AI agents across finance-sector tasks to uncover root causes of failure and drive improvements in design, evaluation, and benchmarking frameworks. Key Responsibilities Conduct statistical failure analysis to identify recurring patterns in AI agent performance across prompts, rubrics, templates, and file types Investigate root causes behind performance issues in task execution, framework design, or data complexity Perform multi-dimensional analysis across finance sub-domains, task categories, ...

Job Title: Data Analyst Location: Remote / Global About the Role We are looking for a data-driven professional to join our analytics and quality team. In this role, you will analyze the performance of AI agents across finance-sector tasks to uncover root causes of failure and drive improvements in design, evaluation, and benchmarking frameworks. Key Responsibilities Conduct statistical failure analysis to identify recurring patterns in AI agent performance across prompts, rubrics, templates, and file types Investigate root causes behind performance issues in task execution, framework design, or data complexity Perform multi-dimensional analysis across finance sub-domains, task categories, an...

Job Title: Data Analyst Location: Remote / Global About the Role We are looking for a data-driven professional to join our analytics and quality team. In this role, you will analyze the performance of AI agents across finance-sector tasks to uncover root causes of failure and drive improvements in design, evaluation, and benchmarking frameworks. Key Responsibilities Conduct statistical failure analysis to identify recurring patterns in AI agent performance across prompts, rubrics, templates, and file types Investigate root causes behind performance issues in task execution, framework design, or data complexity Perform multi-dimensional analysis across finance sub-domains, task categories, an...

As a senior-level individual contributor in the mortgage and retail banking industry, your primary objective will be to leverage your expertise in SAS and/or Python to develop and maintain Management Information Systems (MIS), create insightful visualizations, and support regulatory deliverables for Risk or Marketing teams. You will be a subject matter expert in mortgage industry MIS, providing data-driven insights to support strategic decision-making. - Design, develop, and maintain MIS reports and dashboards using SAS and/or Python to track key performance indicators and provide insights into business trends. - Perform in-depth data analysis and create compelling visualizations to communic...

About Company:- A leading global information technology, consulting, and business process services organization, the company delivers innovative solutions that enable clients across industries to thrive in the digital era. With a strong focus on technology-driven transformation, it helps enterprises harness the power of cloud, AI, automation, and analytics to achieve operational excellence and sustainable growth. Backed by decades of expertise and a workforce spread across more than 50 countries, the company is recognized for its commitment to innovation, quality, and customer satisfaction. Job Description: Job Title: Full Stack with AI/ML Location: Pan India Experience: 6+ yrs. Job Type: Co...

Marsh is seeking a candidate for following position based out our office in Mumbai : Principal Engineer - Data Science What can you expect? This position is for an individual contributor in Data Science, who will develop and implement leading-edge techniques in artificial intelligence, machine learning, predictive modeling, and natural language processing as applied in commercial insurance and risk management. This position consults with senior colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading tools. Core Responsibilities: Develops modeling approaches for implementing new, market-leading analytics-based tools to understand and address r...

Description We are seeking an AI/ML Architect to join our India team, supporting a large global client. The role focuses on designing, developing, deploying, and maintaining AI and machine learning models that drive business impact. The ideal candidate will bring strong technical expertise in Python, cloud computing, and data engineering, along with the ability to create scalable and efficient AI-driven applications. Key Responsibilities Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering use cases. Implement AI-based solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn. Work with major cloud platforms like AWS (Sage...

Role Overview: You are a Data Scientist at UST, responsible for driving impactful machine learning initiatives focused on improving the health and well-being of members. Your role involves leveraging Google Cloud Platform (GCP) tools such as Vertex AI and BigQuery, and exploring Generative AI applications to create value for the business and its customers. The ideal candidate is passionate about data science, healthcare, and cloud-based ML development, thriving in a collaborative, innovation-driven environment. Key Responsibilities: - Identify opportunities for applying machine learning to meet business needs. - Ideate, prototype, experiment, and build analytical solutions using GCP tools li...

As a Software Engineer, your role involves coordinating with development teams to determine application requirements, writing scalable code using Python programming language, testing and debugging applications, developing back-end components, and integrating user-facing elements using server-side logic. You will also be responsible for assessing and prioritizing client feature requests, integrating data storage solutions, coordinating with front-end developers, reprogramming existing databases to improve functionality, and developing digital tools to monitor online traffic. Key Responsibilities: - Coordinating with development teams to determine application requirements. - Writing scalable c...

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Role Overview: You will be a skilled engineer specializing in Body Tooling and Process Designing, responsible for performing virtual Bodyshop process validation through FEA analysis. Your role will involve utilizing CAD (Siemens NX) and FEA application (Hyper mesh & Ansa) to create simulation models. Additionally, you will be using Keysight (Visual Assembly & Assembly simulation) to enhance workflows through AI + NX Open & Python programming for automation and integration with external systems. Key Responsibilities: - Build Bodyshop process models including locating, clamping, and joining based on existing production processes. - Develop Panel and Assembly mesh using scan data and execute si...

As an Embedded Systems Specialist at Actalent, your role involves analyzing and migrating existing MATLAB codebases to Python, ensuring seamless functionality and performance. You will be part of a dynamic team that requires expertise in Python, MATLAB, and various scientific libraries. **Responsibilities:** - Thoroughly analyze existing MATLAB codebase, algorithms, data structures, and functionalities to understand their purpose and underlying principles. - Document MATLAB tools, core logic, dependencies, and challenges for migration. - Collaborate with end-users and domain experts to capture requirements and performance metrics. - Develop detailed migration plans with phased approaches and...

Dozen Diamonds is a leading company in the development of the world's first automated stressless fintech solution, the Kosh App. The company aims to empower retail investors with the Stressless Trading Method (STM) to help them build wealth, create consistent cash flow, boost confidence, and recover losses. Dozen Diamonds is dedicated to simplifying financial journeys and providing trustworthy solutions for financial well-being. In this role, you will be responsible for designing, testing, and optimizing quantitative trading models and portfolio strategies focusing on Indian equities and derivatives. The position involves a combination of quantitative research, financial modeling, and system...

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources levera...

Job Description Summary GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. Are you excited at the opportunity to electrify and decarbonize the world? We are looking for a passionate, creative, and results-driven Data Scientist with solid experience in developing and validating AI/ML models, typically gained through at least 5 years working within the energy sector or related domains such as smart infrastructure or industrial automation. The ideal candidate has a strong track record of independently leading and ...

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud ...

Job Summary- Data Scientist with good hands-on experience of 3+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production. Job Responsibilities- Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.) Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence Good understanding of any of the cloud platform- AWS, Azure or GCP Understanding of Commerc...

Job Summary- Data Scientist with good hands-on experience of 5+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production. Job Responsibilities- Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.) Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence Good understanding of any of the cloud platform- AWS, Azure or GCP Understanding of Commerc...

Job Responsibilities- Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.) Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence Good understanding of any of the cloud platform- AWS, Azure or GCP Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus Should have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines...

Job Summary- Data Scientist with good hands-on experience of 6+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production. Job Responsibilities- Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.) Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence Good understanding of any of the cloud platform- AWS, Azure or GCP Understanding of Commerc...

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments...

Experience: 0 to 3 years Work Location : Chennai [ work from office] Notice period: Immediate to 15 days Interview: WALK IN on November 7th from 2:30 PM to 3:30 PM Required Skills: Strong foundation in Python programming. Basic understanding of AI/ML concepts (classification, regression, NLP, etc.). Familiar with pandas, NumPy, matplotlib, scikit-learn. Knowledge of data preprocessing and visualization. Good problem-solving and logical thinking skills. Good to Have: Exposure to deep learning and Generative AI(TensorFlow, PyTorch). Basic understanding of APIs. Participation in projects, internships, or hackathons related to AI or Python.

Position: Data Scientist Experience: 4–5 Years (relevant Data Science experience) Location: Pune / Hyderabad / Bangalore Budget: 15LPA Key Skills: Strong hands-on experience in Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch) or R Solid understanding of Machine Learning , Statistical Modeling , and Data Mining Expertise in Data Visualization (Power BI, Tableau, Matplotlib, Seaborn) Strong SQL and experience with data pipelines (Airflow, Spark, etc.) Proficiency with Cloud ML platforms (AWS SageMaker / Azure ML / Google AI Platform) Nice to Have: Exposure to Deep Learning , NLP , Time Series Analysis Familiarity with MLOps / CI-CD pipelines Certifications or project portfolios in Dat...

Data Scientist 1. Python for Data Science Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Statsmodels Data wrangling, feature engineering, and preprocessing Writing reusable, efficient code for experimentation and analysis 2. Machine Learning & Statistical Modeling Supervised & unsupervised learning (e.g., regression, classification, clustering) Time series analysis, anomaly detection Model evaluation: precision, recall, F1, ROC-AUC, cross-validation Statistical inference and hypothesis testing 3. Generative AI Text generation, summarization, translation Image generation (e.g., Stable Diffusion, DALL•E) Synthetic data generation for model training Evaluation of generative output...

Data Scientist 1. Python for Data Science Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Statsmodels Data wrangling, feature engineering, and preprocessing Writing reusable, efficient code for experimentation and analysis 2. Machine Learning & Statistical Modeling Supervised & unsupervised learning (e.g., regression, classification, clustering) Time series analysis, anomaly detection Model evaluation: precision, recall, F1, ROC-AUC, cross-validation Statistical inference and hypothesis testing 3. Generative AI Text generation, summarization, translation Image generation (e.g., Stable Diffusion, DALL•E) Synthetic data generation for model training Evaluation of generative output...