6420 Pandas Jobs - Page 5

As a Lead Data Scientist at Cognitio Analytics, you will play a key role in driving business outcomes through data analytics and insights. Your contributions will be crucial in making data-informed decisions, identifying growth opportunities, and propelling the organization to new levels of success. Key Responsibilities: - Lead data science projects and teams to achieve business objectives - Mentor and guide a team of data scientists to foster innovation - Utilize strong decision-making and problem-solving skills to drive strategic initiatives - Expertise in programming languages such as Python and R for data manipulation, analysis, and visualization - Deep understanding of machine learning ...

Role Overview: Capgemini Invent is looking for a Data Engineer with 5+ years of experience in data engineering to join their team. As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines to support ML models. You will work closely with data scientists and ML engineers to ensure high-quality data inputs for ML applications. Additionally, you will be involved in data preprocessing, cleansing, exploratory data analysis, and managing datasets comprising text, image, audio, and video data. Key Responsibilities: - Design, develop, and maintain scalable data pipelines for ML models - Perform data preprocessing, cleansing, and labeling - Conduct...

As a Lead AI Engineer at our company, you will play a crucial role in designing and developing Gen-AI solutions, integrating them with existing platforms to enhance analytical capabilities. Your responsibilities will include: - Collaborating with business stakeholders to translate business requirements into technical specifications. You will monitor and measure the impact of digitalization efforts on operational KPIs. - Designing and implementing robust data models, including semantic layers and knowledge graphs, to establish clear relationships between structured and unstructured data. - Overseeing the deployment of AI-based products and solutions. You will develop Agentic AI systems to fac...

Key Responsibilities Design, develop, and maintain end-to-end web applications. Build and integrate RESTful APIs using Python (FastAPI or Flask or Django). Develop responsive, high-quality UIs with React.js + TypeScript. Integrate frontend and backend for seamless user experiences. Deploy and manage applications on AWS, Azure, or GCP. Optimize for performance, security, and scalability. Collaborate with cross-functional teams to translate requirements into deliverables. Required Skills & Experience Strong Python backend development expertise. Hands-on with FastAPI or Django or Flask and API design. Proficiency in React.js and TypeScript. Cloud experience (AWS, Azure, or GCP). Proven history ...

Role & responsibilities Design and implement relational database systems with a focus on scalability, performance, and maintainability. Develop normalized data models and build efficient database schemas. Write complex SQL queries, including joins, subqueries, and aggregate functions. Optimize queries to improve performance, minimize resource usage, and ensure fast execution times. Develop, test, and optimize stored procedures, functions, and triggers to handle complex business logic within the database. Implement indexing strategies to optimize query performance and data retrieval. Identify performance bottlenecks and apply optimization techniques for faster query execution. Develop and man...

Train learners in Data Science, Analytics, ML, and Python. Deliver practical sessions, projects, and assessments. Create course content and ensure industry-ready skills. Mentor students and support career readiness Kavya HR - 8148060836 Perks and benefits Fixed Salary + PF + Reimbursements

Job Purpose We are looking for a proactive and versatile AI Engineer to join our Data AI POD team. You will play a key role in building scalable AI systems that span data engineering, ML/DL, Generative AI, and production-grade APIs. This is a hands-on, impact-driven role where problem-solving, analytical thinking, and a deep understanding of both code and data are essential. The ideal candidate will have experience in Text and Image classification, NLP techniques, computer vision (YOLO, OCR), and be comfortable developing backend services in Python/Linux. You will also work with cutting-edge GenAI models like OpenAI GPT and Google Gemini to solve business problems with intelligent automation...

Job Purpose Skilled Python Developer with 2+ years of experience in Python, FastAPI, data libraries (NumPy, Pandas, Seaborn, Matplotlib), NoSQL, Git, and Linux, who can independently deliver high-quality code and take ownership of action items. Added advantage if experienced in OCR technologies (e.g., Tesseract, EasyOCR), image processing (OpenCV), Django, Java, JavaScript, Event Hub, or Agile methodologies. This role will primarily focus on developing and supporting OCR-related projects and solutions. Duties and Responsibilities Write clean, efficient, and scalable Python code. Build APIs and backend services using FastAPI. Work extensively with NumPy, Pandas, Matplotlib, and Seaborn for da...

Senior Backend Python Developer to build scalable, cloud & AI-driven apps. Expertise in FastAPI/Django/Flask, microservices, Pandas/NumPy, LLM & RAG integrations, Azure, Docker, AKS, CI/CD, performance & reliability. Required Candidate profile Ideal Candidate: A professional with 8+ years of experience in Python backend development, cloud platforms, and modern AI-enabled systems.

As a Senior Technical Specialist, you will develop and enhance network management applications for optical transport technologies, ensuring efficient configuration, fault management, and performance monitoring. Utilizing data science, machine learning, and cloud technologies, you will drive innovation, optimize performance, and streamline CI/CD deployments. You will also mentor team members, foster collaboration, and contribute to global network infrastructure advancements in a dynamic, technology-driven environment. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN Working on products including Photonic/WDM, Optical Transport, and SDH/SONET. Optics Network Management applications provide user...

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collabor...

ML Solution Design & Deployment: Design, build, train, and deploy machine learning models specifically for automated data classification across diverse data stores (SQL, NoSQL, data lakes). Financial Services Data Expertise: Apply a deep understanding of financial data types (e.g., PII, account numbers, transaction data) to tune models for accuracy and relevance within the industry context. Regulatory Compliance Implementation: Ensure ML models and classification rules adhere strictly to stringent regulatory standards across multiple industries (e.g., GDPR, CCPA, PCI-DSS, SOX, Basel Accords). Containerized ML Operations: Utilize modern MLOps practices, deploying and managing machine learning...

Analyze internal datasets to identify potential FX clients using proprietary algorithms. Maintain and continuously update the internal Large Language Model (LLM) for accurate data insights. Collaborate with the Business Management Team to ensure client performance metrics accuracy. Integrate external data sources with internal systems to enhance client insights. Develop and maintain IT infrastructure for data pipelines, ensuring efficient system performance. Provide insights from internal and external data to Marketing and Sales teams. Refine algorithms and models based on feedback from Sales Execution and Business Management teams. Build MIS and data analysis tools to monitor various tradin...

Position : Data Analytics and Data Warehouse Exp: 3 to 6 Years Location: WFO- 5 Days (Gurgaon) Budget: 7 LPA to 16 LPA Key Responsibilities: Ownership of the tracking methodologies to use across projects with a view to harmonize the data model Formulate tagging guides for different projects Working with technology teams to implement the tagging guide as per specifications Testing of new features and functionality to ensure tagging has been correctly implemented Ownership of reporting across different projects Creating & enabling automated circulation of daily reports to key stakeholders Setting up reporting infrastructure to support future project releases Ad hoc analysis Working with produc...

Description: We are seeking a highly skilled Python Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions. The ideal candidate will have strong proficiency in Python, Pandas, NumPy, and AWS, along with hands-on experience in processing large datasets and optimizing data workflows in cloud environments. Requirements: Required Skills & Qualifications Proficient experience in Python for data engineering and backend processing Strong hands-on experience with Pandas and NumPy for data manipulation and analysis Solid experience with AWS, including services such as: S3 EC2 Lambda Glue Redshift / Athena Experience building and maintaining ETL pipelines Strong u...

Responsibilities: Design, develop, and implement well-tested, reusable, and maintainable Python code. Utilize various Python libraries and frameworks (e.g., FastAPI, Django, Flask, Pandas, NumPy) to implement functionalities. Integrate various data sources (APIs, databases) to manipulate and analyze data. Optimize code for performance, scalability, and security. Write unit and integration tests for code coverage and stability. Collaborate with designers and other developers to translate requirements into efficient solutions. Participate in code reviews, providing constructive feedback to improve code quality. Stay up-to-date with the latest Python trends, libraries, and best practices. Debug...

Strong experience in Python backend development. Hands-on experience with Flask 3.0 , related libraries (flask, flask-cors,flask-wtf).Experience with Gunicorn and Gevent for asynchronous request handling.Familiarity Pytest, Jest, Cypress,and Sonar.

The Team: As part of the internship on the Collection Platforms & AI team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a global team and encouraged for thoughtful risk-taking and self-initiative. The Impact: The Collection Platforms & AI team has already delivered breakthrough products and significant business value over the last 5 years. In this role you will be developing our nex...

Responsibilities Collect, clean, and analyse market datasets (fundamentals, sector trends) Build dashboards and reports for daily, weekly, and monthly market performance. Use statistical models and forecasting techniques to predict stock movements.

Shifts: 8am- 5pm IST. 1. List of Skills Category Skills Strong Expertise - Python Programming - Machine Learning & Deep Learning - Natural Language Processing (NLP) - Generative AI Solution Development - Full Stack Development (Frontend + Backend) - Model Fine-Tuning & Optimization - MLOps & CI/CD Pipelines - Data Science & Statistics Basic Proficiency - Conversational AI (Chatbots, LangChain, AutoGen) - Data Engineering & Processing (Spark, Pandas, NumPy, PyTorch, TensorFlow) - Cloud AI Platforms (AWS, Azure) - API Development & Integration Knowledge Only - Open-source AI contributions - Software Design Principles - AI Ethics & Bias Mitigation - Agile/Scrum Development Practices 2. Primary ...

Role Overview Seeking a senior AI/ML Engineer with 8+ years of experience to design and deliver scalable machine learning systems in production. The role owns end-to-end architecture from data pipelines and training to lowlatency serving, monitoring, and iteration. You will apply advanced statistical modeling to solve complex business problems, ensure robust evaluation, and drive measurable impact. The position also explores and operationalizes cuttingedge approaches such as Transformers and LLMs where they add clear value. You will influence AI strategy, mentor teams, and establish best practices for reliability, performance, and cost efficiency. Required Qualifications 8+ years of professi...

About the Role : We are seeking a results-driven Data Scientist to design, build, and deploy predictive models that solve complex business problems, focusing on customer behavior and personalization. This role requires a strong blend of theoretical knowledge in Machine Learning and practical experience in deploying models in a production environment. Key Responsibilities : - Identify business problems that can be solved using Machine Learning and statistical modeling. - Design and implement end-to-end ML solutions, from data extraction and feature engineering to model training and deployment. - Develop, train, and evaluate predictive models (e.g., regression, classification, clustering, deep...

About the Role : We are seeking a results-driven Data Scientist to design, build, and deploy predictive models that solve complex business problems, focusing on customer behavior and personalization. This role requires a strong blend of theoretical knowledge in Machine Learning and practical experience in deploying models in a production environment. Key Responsibilities : - Identify business problems that can be solved using Machine Learning and statistical modeling. - Design and implement end-to-end ML solutions, from data extraction and feature engineering to model training and deployment. - Develop, train, and evaluate predictive models (e.g., regression, classification, clustering, deep...

About the Role : We are seeking a results-driven Data Scientist to design, build, and deploy predictive models that solve complex business problems, focusing on customer behavior and personalization. This role requires a strong blend of theoretical knowledge in Machine Learning and practical experience in deploying models in a production environment. Key Responsibilities : - Identify business problems that can be solved using Machine Learning and statistical modeling. - Design and implement end-to-end ML solutions, from data extraction and feature engineering to model training and deployment. - Develop, train, and evaluate predictive models (e.g., regression, classification, clustering, deep...

About the Role : We are seeking a results-driven Data Scientist to design, build, and deploy predictive models that solve complex business problems, focusing on customer behavior and personalization. This role requires a strong blend of theoretical knowledge in Machine Learning and practical experience in deploying models in a production environment. Key Responsibilities : - Identify business problems that can be solved using Machine Learning and statistical modeling. - Design and implement end-to-end ML solutions, from data extraction and feature engineering to model training and deployment. - Develop, train, and evaluate predictive models (e.g., regression, classification, clustering, deep...