6430 Pandas Jobs - Page 14

Job Title - GN - SONG - Service - Google CCAI - Consultant Management Level: 09/ Consultant Location: Gurugram, Mumbai, Pune, Bengaluru, Hyderabad, Chennai Must have skills: Google Cloud Contact Center AI Platform Good to have skills: NA Areas of Work: Service Google CCAI, Solution and Platform Design Job Summary : You will work closely with our clients as consulting professionals who design, build and implement initiatives that can help enhance business performance. Roles & Responsibilities: As part of these, you will drive the following: Ability to provide CX solution with Google CCAI suite of contact center products such as Dialogflow CX, Agent Assist, Insights CX and CCAI Platform (Ujet....

Job Description Senior Python Developer Location: Chennai / Indore Experience: 3+ Years Employment Type: Full time About Bitcot Bitcot is a fast-growing software development company specializing in AI, automation, digital transformation, and high impact web & mobile applications. We work with global clients to deliver scalable, innovative, and intelligent technology solutions. Role Overview We are looking for a Senior Python Developer with strong backend development expertise, solid experience in Python frameworks and libraries, and strong analytical and algorithmic skills. The ideal candidate must have hands on experience developing scalable applications and APIs, along with strong capabili...

About The Role Project Role : Technology Consulting Practitioner Project Role Description : Advises, leads and works on high impact activities within the systems development lifecycle, and provides advisory work for the IT function itself. Must have skills : Generative AI Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Consulting Practitioner, you will advise, lead, and engage in high-impact activities throughout the systems development lifecycle. Your typical day will involve collaborating with various teams to enhance IT functions, providing strategic insights, and ensuring that projects ...

About The Role Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science, SQL, ITIL Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the val...

About The Role Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science, SQL Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Scientist, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applica...

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 enginee...

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 Ex...

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 enginee...

Title and Summary Manager, Deal Management Overview Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Business Development Finance supports the development, planning, implementation ...

Your Role Develop and implement advanced machine learning models and algorithms to solve complex business problems. Design and maintain end-to-end ML pipelines using MLOps best practices for model deployment and monitoring. Utilize PySpark for large-scale data processing and transformation. Collaborate with data engineers and analysts to ensure data quality, integrity, and accessibility. Perform exploratory data analysis, feature engineering, and model optimization. Communicate insights and recommendations to stakeholders through clear visualizations and reports. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/a...

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 Commer...

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 timeline...

Position Summary This is the Requisition for Employee Referrals Campaign and JD is Generic. We are looking for Associates with 5+ years of experience in delivering solutions around Data Engineering, Big data analytics and data lakes, MDM, BI, and data visualization. Experienced to Integrate and standardize structured and unstructured data to enable faster insights using cloud technology. Enabling data-driven insights across the enterprise. Job Responsibilities He/she should be able to design implement and deliver complex Data Warehousing/Data Lake, Cloud Data Management, and Data Integration project assignments. Technical Design and Development – Expertise in any of the following skills. Any...

Position : AI Engineer (Only Immediate Joiner) Experience : 1 to 3 years Location : Bangalore (Marathahalli) Education : BE / M.Tech Job Type : On Role (Full Time) Shift : 9.30 am to 6.30 pm (5 days working) Job Description : About the Role We are building our AI practice from the ground up and are looking for enthusiastic freshers who want to kickstart their career in Artificial Intelligence . As a AI Engineer, you will work closely with senior engineers to develop AI models, automation workflows, and intelligent solutions for real-world business use cases. Key Responsibilities Assist in data collection, data cleaning, preprocessing, and dataset maintenance Build simple ML/NLP pipelines und...

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...

About The Role Project Role : Full Stack Engineer Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset. Must have skills : Python (Programming Language) Good to have skills : AWS Application Integration Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Full Stack Engineer, you will be responsible for deve...

Job Summary: We are seeking a highly skilled Python Developer for Data Science department with deep expertise in data science. This role demands strong experience in designing, developing, deploying, and maintaining full-stack production-grade AI/ ML solutions. The ideal candidate will bring 5+ years of Python development, a solid foundation in software engineering principles, and a passion for supporting projects that apply machine learning, AI, and statistical modelling to generate actionable insights and drive business value. Key Responsibilities: Collaborate with stakeholders to define and translate business challenges into data science solutions Build, deploy, and optimize machine learn...

Project description We are looking for a hands-on Data Scientist to lead the development of machine learning models and data-driven insights for Digital Oilfield (DOF) systems. This role requires a strong foundation in data science and statistical modeling, with the ability to transform noisy, real-world oilfield data into actionable intelligence for engineering teams.Candidate will work alongside production engineers, software developers, and ML engineers to design, validate, and operationalize predictive and prescriptive analytics that support key decisions in subsurface and surface operations. Oil & gas experience is a strong asset but not mandatory; the ideal candidate brings analytical ...

Position Summary: Senior Data Scientist with excellent hands-on technical skills responsible for designing and building end-to-end ML/AI solutions, implementing technical strategy, and mentoring engineering colleagues to build scalable production systems. The Team: The candidate will join a growing team of AI Engineers & Data Scientists as a member of the Data Science and Platforms team in Market Intelligence (MI) Enterprise Solutions (ES) at S&P Global. We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, Gen AI, Operations Research, Data and Machine Learning ...

We are seeking a Data Science Engineer to design, build, and optimize scalable data and machine learning systems. This role requires strong software engineering skills, a deep understanding of data science workflows, and the ability to work cross-functionally to translate business problems into production-level data solutions. Key Responsibilities: Design, implement, and maintain data science pipelines from data ingestion to model deployment. Collaborate with data scientists to operationalize ML models and algorithms in production environments. Develop robust APIs and services for ML model inference and integration. Build and optimize large-scale data processing systems using Spark, Pandas, ...

Grade Level (for internal use): 09 The Role: Platform Engineer The Team: The team is responsible for building, maintaining, and evolving the data intelligence architecture, data pipelines, and visualizations. It collaborates with business partners and senior management, working within multi-functional agile teams to ensure data integrity, lineage, and security. The team values self-service, automation, and leveraging data to drive insights and improvements. The team also values professionalism, collaboration, and mutual respect fostering a culture where every member demonstrates strong teamwork and positive behavioral traits while leveraging AI and modern tools to deliver excellence. The Imp...

Project description We are seeking a skilled Machine Learning Engineer to develop and deploy Graph Neural Network (GNN) based surrogate models that approximate complex physics simulations for oil & gas pipeline and well networks This is a hands-on role for someone who can build high-fidelity neural network models that replace computationally expensive reservoir and network simulators (Nexus, Prosper) Responsibilities Design and implement Neural Network architectures to model flow dynamics in interconnected pipeline networks Build surrogate models that accurately predict pressure distributions, flow rates, and network behavior under varying operational scenarios (training data is acquired thr...

Responsibilities: o Design, develop, and implement AI/ML models and algorithms. o Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions. o Write clean, efficient, and well-documented code. o Collaborate with data engineers to ensure data quality and availability for model training and evaluation. o Work closely with senior team members to understand project requirements and contribute to technical solutions. o Troubleshoot and debug AI/ML models and applications. o Stay up-to-date with the latest advancements in AI/ML. o Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models. o Develo...

Must Have: 1.Machine Learning - Supervised and unsupervised learning 2. Python - NumPy, Pandas 3. Statistical analytics 4. Keras, Tensors, Pytorch 5. SQL Job Description : Strong python experties, strong experties in machine learning, deep learning algorithms. Good understanding of GenAI, LLMs, Agentic frameworks. Ability to develope production ready applications. Should have a research, experimentative mindset Understanding of clinical domain will be a plus Good to Have: 1. Anomaly detection 2. Security Domain

Must Have: 1.Machine Learning - Supervised and unsupervised learning 2. Python - NumPy, Pandas 3. Statistical analytics 4. Keras, Tensors, Pytorch 5. SQL Job Description : Strong python experties, strong experties in machine learning, deep learning algorithms. Good understanding of GenAI, LLMs, Agentic frameworks. Ability to develope production ready applications. Should have a research, experimentative mindset Understanding of clinical domain will be a plus Good to Have: 1. Anomaly detection 2. Security Domain