889 Pandas Jobs - Page 4

"Strong working experience in python based Django,Flask framework. Experience in developing microservices based design and architecture. Strong programming knowledge in Javascript,HTML5, Python, Restful API, gRPC API Programming experience & object-oriented concepts in PYTHON. Knowledge of python libraries like Numpy, Pandas, Ppen3D, OpenCV, Matplotlib. Knowledge of MySQL/Postgres/MSSQL database. Knowledge of 3D geometry. Knowledge of SSO/OpenID Connect/OAuth authentication protocols. Working experience with version control systems like GitHub/BitBucket/GitLab. Familiarity with continuous integration and continuous deployment (CI/CD) pipelines. Basic knowledge of image processing. Knowledge of data-analysis, data science. Strong communication skills. Very good in analytical & logical thinking on different perspectives. Ability to handle challenges & resolve any blockers. Good team player & proactive in giving new ideas/suggestions/solutions & constructive analysis of team member's ideas. Interested to working in a fast-paced, Agile software development team Good to Have: Knowledge of other programming language like C, C++. Knowledge of basics of machine-learning. Exposure to NoSQL Databases. Knowledge of GCP/AWS/Azure cloud" Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Is fully competent in it's own area and has a deep understanding of related programming concepts software design and software development principles. Works autonomously with minimal supervision. Able to act as a key contributor in a complex environment, lead the activities of a team for software design and software development. Acts proactively to understand internal/external client needs and offers advice even when not asked. Able to assess and adapt to project issues, formulate innovative solutions, work under pressure and drive team to succeed against its technical and commercial goals. Aware of profitability needs and may manage costs for specific project/work area. Explains difficult concepts to a variety of audiences to ensure meaning is understood. Motivates other team members and creates informal networks with key contacts outside own area. Skills (competencies) Verbal Communication

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Work in an IC role ensuring adherence to best practices in BI development and data visualization. Collaborate with stakeholders to define business requirements and design impactful dashboards using Power BI. Use Python to automate data extraction and transformation. Oversee ETL processes and integrate data from various sources into Power BI. Enhance Power BI reports with Python scripts for advanced analytics and custom calculations. Ensure strong data governance, quality, and user-friendly visualization practices. Communicate complex data concepts clearly to both technical and non-technical teams. Good documentation skills to deliver BRDs, specifications document etc. Your Profile 4+ years of experience in DWH/BI domain with a focus on Power BI development. Proficiency in at least two BI toolsQlik, Power BI, Tableau. Showcase experience in 2-3 complete life cycle implementation of BI projects. Willingness and readiness to cross-skill in multiple BI tools and platforms. Experience with Power Platform (Power Apps, Power Automate), including building apps and automating workflows. Advanced SQL skills for querying and manipulating data from relational databases. Basic Python skills for ETL automation, with experience in Pandas, NumPy, and python What youll love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Good knowledge and in Python, sql, Perl with 6+ years experience. Good problem solving skill. Ability to understand the data and its relations Capability to learn new technologies in short span of time. Should be able to work in Sprint and meet deadlines. Flexible Work time. Mandatory Skills: Python - Basics, Pandas, Web scrapping, File and XML Handling, Extracting/Manipulating -Excel/CSV/Any File Formats.Perl - Basics, CPAN modules, File and Web scrapping/Handling.** Work from option is available

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 2 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 AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence and machine learning. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of AI-driven applications and systems.- Collaborate with team members to troubleshoot and resolve technical issues. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 2 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with Apache Spark (PySpark)In-depth knowledge of Spark’s architecture, core APIs, and PySpark for distributed data processing. Big Data TechnologiesFamiliarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Strong proficiency in PythonExpertise in Python programming with a focus on data processing and manipulation. Data Processing FrameworksKnowledge of data processing libraries such as Pandas, NumPy. SQL ProficiencyExperience writing optimized SQL queries for large-scale data analysis and transformation. Cloud PlatformsExperience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with Apache Spark (PySpark)In-depth knowledge of Spark’s architecture, core APIs, and PySpark for distributed data processing. Big Data TechnologiesFamiliarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Strong proficiency in PythonExpertise in Python programming with a focus on data processing and manipulation. Data Processing FrameworksKnowledge of data processing libraries such as Pandas, NumPy. SQL ProficiencyExperience writing optimized SQL queries for large-scale data analysis and transformation. Cloud PlatformsExperience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing

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, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with Apache Spark (PySpark)In-depth knowledge of Spark’s architecture, core APIs, and PySpark for distributed data processing. Big Data TechnologiesFamiliarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. * Strong proficiency in PythonExpertise in Python programming with a focus on data processing and manipulation. Data Processing FrameworksKnowledge of data processing libraries such as Pandas, NumPy. SQL ProficiencyExperience writing optimized SQL queries for large-scale data analysis and transformation. Cloud PlatformsExperience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing

Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

An AI Data Scientist at IBM is not just a job title - it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred o Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

An AI Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Collaboration and Project ManagementCollaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders. Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Required Technical and Professional Expertise EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience with Apache Spark (PySpark)In-depth knowledge of Spark’s architecture, core APIs, and PySpark for distributed data processing. Big Data TechnologiesFamiliarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Strong proficiency in PythonExpertise in Python programming with a focus on data processing and manipulation. Data Processing FrameworksKnowledge of data processing libraries such as Pandas, NumPy. SQL ProficiencyExperience writing optimized SQL queries for large-scale data analysis and transformation. Cloud PlatformsExperience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred technical and professional experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing

An AI Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Collaboration and Project ManagementCollaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders. Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.

Roles & Responsibilities: 3+ years of working experience in data engineering. Hands-on keyboard' AWS implementation experience across a broad range of AWS services. Must have in depth AWS development experience (Containerization - Docker, Amazon EKS, Lambda, EC2, S3, Amazon DocumentDB, PostgreSQL) Strong knowledge of DevOps and CI/CD pipeline (GitHub, Jenkins, Artifactory) Scripting capability and the ability to develop AWS environments as code Hands-on AWS experience with at least 1 implementation (preferred in an Enterprise scale environment) Experience with core AWS platform architecture, including areas such asOrganizations, Account Design, VPC, Subnet, segmentation strategies. Backup and Disaster Recovery approach and design Environment and application automation CloudFormation and third-party automation approach/strategy Network connectivity, Direct Connect and VPN AWS Cost Management and Optimization Skilled experience in Python libraries (NumPy, Pandas dataframe)

Job Title: Data Scientist Electric Load Forecasting Location: Mumbai / Pune Job Type: Full-time Experience: 3-5 years About the Role: We are seeking a highly motivated Data Scientist – Forecasting with a strong passion for energy, technology, and data-driven decision-making. In this role, you will be responsible for developing and refining energy load forecasting models , analyzing customer demand patterns , and improving forecasting accuracy using advanced time series analysis and machine learning techniques . Your insights will directly support risk management, operational planning, and strategic decision-making across the company. If you thrive in a fast-paced, dynamic environment and enjoy solving complex data science challenges , we’d love to hear from you! Key Responsibilities: Develop and enhance energy load forecasting models using time series forecasting , statistical modeling , and machine learning techniques . Analyze historical and real-time energy consumption data to identify trends and improve forecasting accuracy. Investigate discrepancies between forecasted and actual energy usage , providing actionable insights. Automate data pipelines and forecasting workflows to streamline processes across departments. Monitor day-over-day forecast variations and communicate key insights to stakeholders. Work closely with internal teams and external vendors to refine forecasting methodologies . Perform scenario analysis to assess seasonal patterns, anomalies, and market trends. Continuously optimize forecasting models , leveraging techniques like ARIMA, Prophet, LSTMs, and regression-based models . Qualifications & Skills: 3-5 years of experience in data science, preferably in energy load forecasting , demand prediction, or a related field. Strong expertise in time series analysis , forecasting algorithms , and statistical modeling . Proficiency in Python , with experience using libraries such as pandas, NumPy, scikit-learn, statsmodels, and TensorFlow/PyTorch . Experience working with SQL and handling large datasets. Hands-on experience with forecasting models like ARIMA, SARIMA, Prophet, LSTMs, XGBoost, and random forests . Familiarity with feature engineering, anomaly detection, and seasonality analysis . Strong analytical and problem-solving skills with a data-driven mindset . Excellent communication skills, with the ability to translate technical findings into business insights . Ability to work independently and collaboratively in a fast-paced, dynamic environment . Strong attention to detail, time management, and organizational skills. Preferred Qualifications (Nice to Have): Experience working with energy market data, smart meter analytics, or grid forecasting . Knowledge of cloud platforms (AWS) for deploying forecasting models . Experience with big data technologies such as Spark or Hadoop .

Train learners in tools such as Python, R, SQL, Power BI/Tableau, Excel, and relevant ML libraries (e.g., scikit-learn, TensorFlow, Numpy, Pandas). Mentor learners, solve doubts, and track progress through assessments Full Time / Part Time available

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where you ll be able to reimagine what s possible. Join us and help the world s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About The Role Design, develop, and implement conversational AI solutions using the Kore.ai platform, including chatbots, virtual assistants, and automated workflows tailored to business requirements. Customize, configure, and optimize the Kore.ai platform to address specific business needs, focusing on user interface (UI) design, dialogue flows, and task automation. Collaborate with cross-functional teams to understand business objectives and translate them into scalable AI solutions. Continuously monitor and enhance bot performance by staying updated on the latest Kore.ai features, AI advancements, and machine learning trends. Primary Skills 1+ years of experience in software development, with at least 1+ years of hands-on experience working with the Kore.ai platform. Proven expertise in developing chatbots and virtual assistants using Kore.ai tools. Proficiency in programming languages such as JavaScript or other scripting languages. Experience with API integrations, including RESTful APIs and third-party services. Strong understanding of dialogue flow design, intent recognition, and context management. Secondary Skills Kore.ai platform certification is a strong advantage. Knowledge of automation tools and RPA technologies is beneficial. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion. Please share your profiles to vishal.seth@capgemini.com, matching profiles will get a call.

We are looking for a highly skilled and self-motivated Python Developer with strong expertise in Flask, API integrations (like Amazon and stock market platforms), Selenium automation, and AI/LLM-based applications . The ideal candidate will support and enhance our data-driven platforms, build intelligent automation systems, and contribute to innovation in Business Intelligence and digital workflows. Key Requirements: Proficiency in Python with 2+ years of hands-on experience. Strong experience with Flask or similar Python web frameworks. Solid understanding of RESTful API development and consumption. Hands-on expertise in Selenium for browser automation tasks. Practical experience or projects using Large Language Models (LLMs), GPT, or AI toolkits . Familiarity with version control (Git), Docker, and deployment environments. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Knowledge of Accounts will be added advantage. Send your resume to mandakranta.mahapatra@jaytea.com with the subject: "Application for Python Developer Position", including: - Current CTC - Expected CTC - Notice Period

Job Title : Sr. Data Scientist Location : Mumbai / Pune Job Type : Full-time Experience : 4-7 years About the Role : We are seeking a Sr. Data Scientist with experience in Computer Vision to join our team. You will be responsible for building and maintaining models including but not limited to Vision Transformer neural networks. This role involves collaborating with data engineers and backend developers to deliver quality AI solutions. Responsibilities : Design and implement end-to-end machine learning workflows for image and computer vision applications, from data collection to model deployment. Collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to define and prioritize machine learning initiatives. Document technical designs and model specifications, ensuring clarity and accessibility for stakeholders and team members. Ensure adherence to best practices in model development, deployment, and monitoring, in alignment with the overall AI strategy. Monitor model performance and implement strategies for continuous improvement and retraining as needed. Develop scalable and efficient deep learning models using PyTorch, optimizing for performance and resource utilization. Qualifications : Bachelors degree in Computer Science or a related field. 4-7 years of hands-on experience in developing and deploying machine learning models, particularly in computer vision tasks. Proficient in using PyTorch for developing deep learning models, with a strong understanding of CNNs, transfer learning, vision transformers, and data augmentation techniques. Solid understanding of computer vision concepts, including image classification, object detection, and image segmentation. Strong programming skills in Python, with experience in data manipulation libraries such as NumPy and Pandas. Experience with version control systems like Git. Excellent analytical and problem-solving skills, strong communication abilities, and a collaborative mindset. Preferred Qualifications : Experience with cloud platforms (e.g., AWS, GCP, Azure) and their ML services, particularly those related to model deployment and GPU training. Understanding of MLOps principles and practices, including model monitoring, versioning, and governance. Knowledge of GPU computing and tools for managing GPU resources (e.g., CUDA, cuDNN).

Job Summary: We are seeking a skilled Data Scientist with experience in both Python and SAS to join our high-performing analytics team. The ideal candidate will be adept at developing predictive models, analyzing large datasets, and delivering actionable insights using modern data science tools and platforms. Key Responsibilities: Design and develop machine learning and statistical models using Python and SAS. Conduct data exploration, preprocessing, and analysis on structured and unstructured datasets. Use SAS (Base, Advanced, Enterprise Guide, Visual Analytics, or SAS Viya) for reporting, data preparation, and statistical modeling as required. Work with large-scale datasets using Python libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow. Translate business requirements into technical solutions in collaboration with cross-functional teams. Build data pipelines and automate workflows for data analysis and model deployment. Present data-driven insights through visualizations using tools such as Seaborn, Plotly, Matplotlib, or SAS VA. Document models, code, and methodologies for reproducibility and auditability. Qualifications: 2-10 years of experience in data science, machine learning, or advanced analytics. Proficient in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.) and SAS (Base, Advanced, DI, VA, or Viya). Strong knowledge of SQL and experience working with relational databases. Solid foundation in statistical analysis, hypothesis testing, regression, classification, clustering, etc. Experience in building, evaluating, and deploying predictive models. Excellent communication skills and ability to convey complex findings to non-technical stakeholders. Preferred Qualifications : Experience with big data tools (Spark, Hive, Hadoop). Exposure to MLOps tools (MLflow, Airflow, Docker, etc.). Familiarity with cloud platforms (AWS, Azure, GCP). Understanding of SAS integration with cloud or open-source tools. Experience with NLP, image recognition, or deep learning frameworks. Location: Pan India- Delhi / NCR,Bangalore/Bengaluru,Hyderabad/Secunderabad,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

Role Overview: We are looking for an experienced Python Programming Mentor with strong hands-on expertise in core and advanced Python, including OOP, data structures, file handling, python libraries, basics of MySQL The ideal candidate should be capable of delivering live mentoring sessions, reviewing code, guiding real world projects, and supporting learners through hands-on problem-solving. Role & responsibilities Mentor learners on Python fundamentals, advanced topics, and practical applications. Conduct live sessions, code walkthroughs, and 1:1 doubt-clearing interactions. Guide learners through mini-projects and real-world capstone projects. Review code submissions and provide constructive feedback. Promote coding best practices, testing (PyTest/unittest), and Git workflows.

Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to ensure Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain. You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Writing efficient, reusable, testable, and scalable code, Integration of user-oriented elements into different applications, data storage solutions, Keeping abreast with the latest technology and trendsIf you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional Requirements: Technical requirements:Primary skills: Python > Django, Flask, Pandas, Numpy, Pyramid Preferred Skills: Python Additional Responsibilities: Additional Information:Knowledge of design principles and fundamentals of architecture Basic understanding of project domain Writing scalable code using Python programming language. Ability to translate functional / nonfunctional requirements to systems requirements Ability to design and code complex programs Ability to write test cases and scenarios based on the specifications Good understanding of agile methodologies Awareness of latest technologies and trends Logical thinking and problem-solving skills along with an ability to collaborate Educational Requirements Master of Computer Science,Master Of Science,Master Of Technology,MCA,Bachelor Of Comp. Applications,Bachelor Of Computer Science,Bachelor of Engineering,Bachelor Of Technology Service Line Application Development and Maintenance * Location of posting is subject to business requirements

Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to ensure Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain. You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Writing efficient, reusable, testable, and scalable code, Integration of user-oriented elements into different applications, data storage solutions, Keeping abreast with the latest technology and trendsIf you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional Requirements: Primary skills: Python > Django, Flask, Pandas, Numpy, Pyramid Preferred Skills: Technology->OpenSystem->Python - OpenSystem->Python Technology->Machine Learning->Python Additional Responsibilities: Knowledge of design principles and fundamentals of architecture Basic understanding of project domain Writing scalable code using Python programming language. Ability to translate functional / nonfunctional requirements to systems requirements Ability to design and code complex programs Ability to write test cases and scenarios based on the specifications Good understanding of agile methodologies Awareness of latest technologies and trends Logical thinking and problem-solving skills along with an ability to collaborate Educational Requirements MCA,MSc,MTech,Bachelor of Engineering,Bachelor Of Technology Service Line Application Development and Maintenance * Location of posting is subject to business requirements

Capital structures engineering team focused on developing cutting-edge web applications that drive the business forward through innovative solutions. We leverage modern frontend and backend technologies to build scalable and highly performant web platforms. The challenge, scope, and versatility of this development work provide an exciting opportunity to make a significant impact on our products and client offerings. Join our dynamic team and contribute to building robust, reliable, and scalable web applications using VueJS, Node.js, and AWS. You will work on both internal and external client-facing applications that shape the user's experience and drive FactSet's growth through technological innovations. What YouII Do Maintain and resolve bugs in existing components Contribute new features, fixes, and refactors to the existing code Perform code reviews and coach engineers with respect to best practices Work with other engineers in following the test-driven methodology in an agile environment Collaborate with other engineers and Product Developers in a Scrum Agile environment using Jira and Confluence Ability to work as part of a geographically diverse team Ability to create and review documentation and test plans Estimate task sizes and regularly communicate progress in daily standups and biweekly Scrum meetings Coordinate with other teams across offices and departments What We’re Looking For Bachelor’s degree in Engineering or relevant field required. We are looking for 3-7 years of Total experience engineer for this role. Strong technical basis , collaborative, troubleshooting, and communication skills Strong analytical and problem-solving skills & Project management skills. Experience with Python language Knowledge on Python libraries , Pandas, Numpy. Relational database experience, preferably with POSTGRES Should be able to comprehend C#, .Net applications Experience with Github-based development processes Working experience on AWS services, Lambda, EC2, S3, AWS Glue etc. Proficiency with object oriented design principles Working experience on APIs is a must Experience building and deploying production level services Good organizational and problem-solving skills, self-directed, and resourceful with the ability to appropriately prioritize work in a fast-paced environment Ability to work in a team-oriented environment Nice to have skills Work experience of Jupyter Notebooks is plus. Familiar with Agile software development (Scrum is a plus). Experience working in Linux/Unix environment is desirable. Technically leading the team experience is a plus.

The engineer will be responsible for the development and deployment of Container based and Web based applications They are currently facing challenges with scalability, particularly with around 10 to 20 applications running across Web, Cloud, Desktop, and Cross platform environments They are specifically looking for a candidate with cross-platform development experience (Python and C++) The deployment platform is built on PyQt, and expertise in this is essential, especially on the backend In addition to PyQt, the engineer should have a good understanding of Web Technologies The ideal candidate should have more than 5 to 6 years of experience However, since there are no major budget constraints, they are open to considering candidates with 10 to 11 years of experience Depending on the candidates performance and expertise, the engagement may be extended beyond a year Note: It is mandatory for the selected candidate to work from the Infineon office at Bagmane Tech Park