1625 Data Processing Jobs - Page 39

Enter data into computer system with high accuracy and speed. Review and verify data for errors and inconsistencies. Maintain data integrity and confidentiality. Perform data cleaning and data validation tasks.

Enter data into computer system with high accuracy and speed. Review and verify data for errors and inconsistencies. Maintain data integrity and confidentiality. Perform data cleaning and data validation tasks.

Enter data into computer system with high accuracy and speed. Review and verify data for errors and inconsistencies. Maintain data integrity and confidentiality. Perform data cleaning and data validation tasks.

Enter data into computer system with high accuracy and speed. Review and verify data for errors and inconsistencies. Maintain data integrity and confidentiality. Perform data cleaning and data validation tasks.

Enter data into computer system with high accuracy and speed. Review and verify data for errors and inconsistencies. Maintain data integrity and confidentiality. Perform data cleaning and data validation tasks.

Enter data into computer system with high accuracy and speed. Review and verify data for errors and inconsistencies. Maintain data integrity and confidentiality. Perform data cleaning and data validation tasks.

Enter data into computer system with high accuracy and speed. Review and verify data for errors and inconsistencies. Maintain data integrity and confidentiality. Perform data cleaning and data validation tasks.

Enter data into computer system with high accuracy and speed. Review and verify data for errors and inconsistencies. Maintain data integrity and confidentiality. Perform data cleaning and data validation tasks.

Enter data into computer system with high accuracy and speed. Review and verify data for errors and inconsistencies. Maintain data integrity and confidentiality. Perform data cleaning and data validation tasks.

Enter data into computer system with high accuracy and speed. Review and verify data for errors and inconsistencies. Maintain data integrity and confidentiality. Perform data cleaning and data validation tasks.

Enter data into computer system with high accuracy and speed. Review and verify data for errors and inconsistencies. Maintain data integrity and confidentiality. Perform data cleaning and data validation tasks.

Enter data into computer system with high accuracy and speed. Review and verify data for errors and inconsistencies. Maintain data integrity and confidentiality. Perform data cleaning and data validation tasks.

Enter data into computer system with high accuracy and speed. Review and verify data for errors and inconsistencies. Maintain data integrity and confidentiality. Perform data cleaning and data validation tasks.

Enter data into computer system with high accuracy and speed. Review and verify data for errors and inconsistencies. Maintain data integrity and confidentiality. Perform data cleaning and data validation tasks.

Enter data into computer system with high accuracy and speed. Review and verify data for errors and inconsistencies. Maintain data integrity and confidentiality. Perform data cleaning and data validation tasks.

Enter data into computer system with high accuracy and speed. Review and verify data for errors and inconsistencies. Maintain data integrity and confidentiality. Perform data cleaning and data validation tasks.

Enter data into computer system with high accuracy and speed. Review and verify data for errors and inconsistencies. Maintain data integrity and confidentiality. Perform data cleaning and data validation tasks.

Enter information into database systems accurately and efficiently. Manage and maintain accurate records and reports. Meet productivity and quality standards. Basic computer skills and knowledge of MS Office required.

The AI Foundation Team at Adobe Express aims to develop a groundbreaking AI stack using internal and external technologies to improve feature speed and quality. Develop ML models and services, collaborate with teams, improve user experience at Adobe Express. What Youll Do Research, design, and implement advanced ML models and pipelines for training and inference at scale, including techniques in computer vision, NLP, deep learning, and generative AI. Integrate Large Language Models (LLMs) and agent-based frameworks to support multimodal creative workflows, enabling rich, context-aware content generation and dynamic user experiences. Collaborate with multi-functional teams to translate product requirements into ML solutions, iterating from proof-of-concept to fully productionized services. Develop robust platforms for continuous model training, experimentation, A/B testing, and monitoring, ensuring that model quality and relevance remain consistently high. Leverage distributed computing technologies and cloud infrastructures to handle large-scale data processing, feature engineering, and real-time inference, optimizing for performance and cost-efficiency. Implement reliable APIs and microservices that serve ML models to end users, ensuring alignment to standard methodologies in security, compliance, scalability, and maintainability. Stay ahead of emerging ML research, tools, and frameworks, evaluating and integrating new technologies such as sophisticated LLMs, reinforcement learning-based agents, and innovative inference optimization techniques. In the near future, we will expand the model coverage to include more creative tasks. We will also improve the model architectures to achieve better latency and accuracy. Additionally, we will integrate federated learning or domain adaptation strategies to reach diverse audiences. Basic Qualifications: PhD or Master s or Bachelor s in Computer Science or equivalent experience, ML, Applied Mathematics, Data Science, or a related technical field. 14+years of industry experience. Proficiency in Python and Java for ML model development and systems integration. Hands-on experience with deep learning frameworks, including TensorFlow and PyTorch. Demonstrated experience working with LLMs and agent frameworks to develop advanced AI-based experiences. Proficiency in computer vision and NLP techniques for multimodal content understanding and generation. Work experience in Creative Domains, Imaging Domains will be highly useful. Experience in developing and deploying RESTful web services and microservices architectures for applications involving ML. Proficiency with UNIX environments, Git for version control, and Jenkins for CI/CD processes.

Management Level Director Summary At PwC, our people in business services and support focus on providing efficient and effective administrative support to enable smooth operations within the organisation. This includes managing schedules, coordinating meetings, and handling confidential information. Those in client administration at PwC will focus on managing and coordinating client relationships, prioritising smooth communication and efficient service delivery. You will utilise strong organisational skills and attention to detail to support the overall client experience. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . Summary At PwC, our purpose is to build trust in society and solve important problems. We re a network of firms in 151 countries with over 360,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by visiting us at www.pwc.com. In India, our highly qualified and experienced professionals listen to different points of view to help you solve business issues and identify and maximize the opportunities you seek. Our industry specialization allows us to help cocreate solutions with our clients for their sector of interest. Leverage GCC Industry connects to identify, target, and engage with potential clients. Gain a comprehensive understanding of client needs, challenges, and business objectives to position PwC offerings effectively. Develop and execute GotoMarket strategic plans for entering new markets and expanding our presence. Collaborate with crossfunctional teams to customize PwC offerings to the client. Build and nurture strong, lasting relationships with key decisionmakers and stakeholders within the industry. Collaborate with solution architects, consultants, and subject matter experts to develop tailored proposals that address clientspecific challenges and showcase companys value proposition. Manage and maintain a robust sales pipeline, tracking leads, opportunities, and potential deals. Utilize CRM systems to monitor progress and ensure accurate forecasting. Stay abreast of industry trends, competitor activities, and regulatory. Leverage this knowledge to identify new opportunities and adapt Market Intelligence strategies as needed. Lead negotiations and contract discussions to secure new business contracts. Work closely with legal and finance teams to ensure terms and conditions are favorable for both parties. Meet and exceed sales and revenue targets. Provide regular updates and reports to senior management on progress, challenges, and successes Mandatory skill sets Business development Go to Market Preferred skill sets Global captive center Years of experience required 16+ years Education qualification MBA, PGDM Education Degrees/Field of Study required Master of Business Administration Degrees/Field of Study preferred Required Skills Business Development, Go to Market (GTM) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Administrative Support, Analytical Thinking, Business Administration, Business Analysis, Business Information System, Business Process Improvement, Business Process Management (BPM), Clerical Support, Client Interaction, Client Management, Client Onboarding, Coaching and Feedback, Communication, Communications Management, Confidential Information Handling, Creativity, CRM Software, Customer Relationship Management, Data Analysis and Interpretation, Data Entry, Data Interpretation, Data Processing {+ 38 more} Travel Requirements Available for Work Visa Sponsorship

Key Responsibilities: We are seeking a highly skilled and experienced Engineer to help us with the design and implementation of Future GCP Native Data Processing Framework. The ideal candidate will have extensive experience building scalable data solutions, strong analytical skills, and a passion for leveraging GCP Services to develop Tools and Framework to support Data Engineering Teams. Help with the design and implementation of the of the Data Processing Framework that leverages GCP Cloud Native Services. Ensure data integrity, consistency, and availability across all data systems. Develop documentation and standards for data processes and procedures. Experience: Minimum of 10+ years of experience in data engineering, with a focus on data architecture and pipeline development. Proven experience with Cloud platforms (GCP) and big data technologies (e.g., PySpark, Databricks, Big Query, GCP Services) Proven experience with Orchestration Solutions (e.g., Airflow,Dagster, Comparable GCP Services). Understanding of Data Lake Table Formats like Delta, Iceberg. Skills: Proficiency in programming languages such as Python Familiarity with data lake architectures and best practices. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills.

Management Level Director Summary At PwC, our people in business services and support focus on providing efficient and effective administrative support to enable smooth operations within the organisation. This includes managing schedules, coordinating meetings, and handling confidential information. Those in client administration at PwC will focus on managing and coordinating client relationships, prioritising smooth communication and efficient service delivery. You will utilise strong organisational skills and attention to detail to support the overall client experience. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . Summary At PwC, our purpose is to build trust in society and solve important problems. We re a network of firms in 151 countries with over 360,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by visiting us at www.pwc.com. In India, our highly qualified and experienced professionals listen to different points of view to help you solve business issues and identify and maximize the opportunities you seek. Our industry specialization allows us to help cocreate solutions with our clients for their sector of interest. Leverage GCC Industry connects to identify, target, and engage with potential clients. Gain a comprehensive understanding of client needs, challenges, and business objectives to position PwC offerings effectively. Develop and execute GotoMarket strategic plans for entering new markets and expanding our presence. Collaborate with crossfunctional teams to customize PwC offerings to the client. Build and nurture strong, lasting relationships with key decisionmakers and stakeholders within the industry. Collaborate with solution architects, consultants, and subject matter experts to develop tailored proposals that address clientspecific challenges and showcase companys value proposition. Manage and maintain a robust sales pipeline, tracking leads, opportunities, and potential deals. Utilize CRM systems to monitor progress and ensure accurate forecasting. Stay abreast of industry trends, competitor activities, and regulatory. Leverage this knowledge to identify new opportunities and adapt Market Intelligence strategies as needed. Lead negotiations and contract discussions to secure new business contracts. Work closely with legal and finance teams to ensure terms and conditions are favorable for both parties. Meet and exceed sales and revenue targets. Provide regular updates and reports to senior management on progress, challenges, and successes Mandatory skill sets Business development Go to Market Preferred skill sets Global captive center Education qualification MBA, PGDM Education Degrees/Field of Study required Master of Business Administration Degrees/Field of Study preferred Required Skills Go to Market (GTM) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Administrative Support, Analytical Thinking, Business Administration, Business Analysis, Business Information System, Business Process Improvement, Business Process Management (BPM), Clerical Support, Client Interaction, Client Management, Client Onboarding, Coaching and Feedback, Communication, Communications Management, Confidential Information Handling, Creativity, CRM Software, Customer Relationship Management, Data Analysis and Interpretation, Data Entry, Data Interpretation, Data Processing {+ 38 more} Travel Requirements Available for Work Visa Sponsorship

Key Responsibilities: We are seeking a highly skilled and experienced Engineer to help us with the design and implementation of Future GCP Native Data Processing Framework. The ideal candidate will have extensive experience building scalable data solutions, strong analytical skills, and a passion for leveraging GCP Services to develop Tools and Framework to support Data Engineering Teams. Help with the design and implementation of the of the Data Processing Framework that leverages GCP Cloud Native Services. Ensure data integrity, consistency, and availability across all data systems. Develop documentation and standards for data processes and procedures. Experience: Minimum of 10+ years of experience in data engineering, with a focus on data architecture and pipeline development. Proven experience with Cloud platforms (GCP) and big data technologies (e.g., PySpark, Databricks, Big Query, GCP Services) Proven experience with Orchestration Solutions (e.g., Airflow,Dagster, Comparable GCP Services). Understanding of Data Lake Table Formats like Delta, Iceberg. Skills: Proficiency in programming languages such as Python Familiarity with data lake architectures and best practices. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills.

Spearhead the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business, product, and recommender system objectives. Create machine learning solutions that are scalable, dependable, and secure. Craft and sustain technical outputs such as design documentation and representative models. Contribute to the establishment of machine learning best practices, technical standards, model designs, and quality control, including code reviews. Provide expert oversight, guidance on implementation, and solutions for technical challenges. Collaborate with an array of stakeholders, cross-functional and product teams, business units, technical specialists, and architects to grasp the project scope, requirements, solutions, data, and services. Promote a team-focused culture that values information sharing and diverse viewpoints. Cultivate an environment of continual enhancement, learning, innovation, and deployment. About You: You are an excellent candidate for the role of Machine Learning Engineer if you possess: At least 3 years of experience in addressing practical machine learning challenges, particularly with Recommender Systems, to enhance user efficiency, reliability, and consistency. A profound comprehension of data processing, machine learning infrastructure, and DevOps/MLOps practices. A minimum of 2 years of experience with cloud technologies (AWS SageMaker, AWS is preferred), including services, networking, and security principles. Direct experience in machine learning and orchestration, developing intricate multi-tenant machine learning products. Proficient Python programming skills, SQL, and data modeling expertise, with DBT considered a plus. Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, Keras, and other relevant ML libraries. Experience in leading and supporting engineering teams. Robust background in crafting data science and machine learning solutions. A creative, resourceful, and effective problem-solving approach. #LI-HG1 What s in it For You Hybrid Work Model: We ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Job Title: Data Analyst Summary: We are seeking a highly skilled and experienced Data Analyst to join our Data Services department. The ideal candidate will have at least 7 years of experience in data analysis and a strong background in statistical analysis, data mining, and data visualization. The Data Analyst will be responsible for interpreting data, analyzing results, and providing insights to drive business decisions. Roles and Responsibilities: - Collect and analyze data from various sources to identify trends and patterns - Develop and implement data models and algorithms to optimize data processing - Create visualizations and reports to communicate findings to stakeholders - Collaborate with cross-functional teams to understand business needs and provide data-driven solutions - Identify opportunities for process improvement and automation - Stay current with industry trends and best practices in data analysis Qualifications: - Bachelors degree in Computer Science, Statistics, Mathematics, or related field - Minimum of 7 years of experience in data analysis - Proficiency in SQL, Python, R, or other programming languages - Strong analytical and problem-solving skills - Excellent communication and presentation abilities - Experience with data visualization tools such as Tableau or Power BI - Knowledge of machine learning techniques is a plus If you are a data-driven professional with a passion for turning data into actionable insights, we want to hear from you. Join our team and make a meaningful impact on our business through data analysis.