... state-of-the-art generative models such as GPT, GANs, VAEs, or diffusion models for tasks like text generation, summarization, reasoning, Q&A, or predictive analytics. - Data Preparation: Clean, preprocess, and structure large datasets to train, validate, and test generative AI models. - Deployment: Implement scalable solutions ...
... quality at a global scale? Join us in Bangalore to lead a team of expert medical reviewers, advance Risk-Based Quality Management (RBQM), and ensure that the data behind life-changing therapies is robust, reliable and patient-focused. Your new role As Senior Manager of CMU-BLR Medical Data Review, you will plan and oversee ...
Role Summary We are hiring a hands-on Senior Data Scientist / AI Engineer to design and productionize AI capabilities for automated understanding and validation of complex 2D engineering drawings. The role combines Computer Vision, OCR/Document AI, multimodal LLMs, RAG/Graph-RAG, Knowledge Graphs and deterministic engineering ...
... containers as well as GCP suite, terraform kubernetes, cloud functions You understand standard ETL patterns, modern data warehousing ideas such as data mesh or data vaulting, and data quality practices regarding test driven design and data observability. You are passionate about all things data: Big data, small data, moving ...
... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested ...
Our partner is looking for a Senior Data Scientist – Adversarial based in India. Join a global web security environment where advanced data science directly contributes to protecting major digital platforms and brands. As a Senior Data Scientist, you will investigate sophisticated attacks, analyze large-scale traffic data, ...
... machine learning models into data pipelines for enhanced data processing. - Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? - Proficiency in Python, SQL, and database management. - Experience with Data Pipelines ETL, Cloud Services ...
Job Description: IF interested, please fill this form: - - 5+ years of experience combined in programming, small to large-scale applications, frontend and backend engineering, test-driven development, microservices and architecture design principles - Must have experience on AI/ML implementation such as: Langchain,
... state-of-the-art generative models such as GPT, GANs, VAEs, or diffusion models for tasks like text generation, summarization, reasoning, Q&A, or predictive analytics. - Data Preparation: Clean, preprocess, and structure large datasets to train, validate, and test generative AI models. - Deployment: Implement scalable solutions ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Large Language Models (LLMs) ...
Key Responsibilities : - Design, implement, and manage CI/CD pipelines for data and Hadoop applications.- Develop and maintain automated build, deployment, testing, and release processes.- Work extensively with OpenShift and containerized application environments.- Deploy, configure, monitor, and troubleshoot applications ...
... Excellent content ideation and storytelling skills. Short format copywriting for brands Strong communication, presentation and interpersonal skills. Strong analytics and reporting skills, with the ability to turn data into actionable insights. Experience & Qualifications: Education: B.A. in Creative Writing, Communication ...
... the operational aspects of business booked (e.g., generating proposal, writing contract, customer correspondence). Analyzing & Reporting on Sales and Financial Data • Analyzes market information by using sales systems and implements strategy to achieve property’s financial room and catering goals. • Assists Revenue Management ...
A data engineer role in the Specialty Data team should be able to analyze data from multiple source system and design/model Data Marts based on business requirements. Therefore, strong data analytics and technical skills are a must. He or She should be able to create data models, STTMs and other technical documents. The ...
... priorities into technology capabilities and measurable business outcomes.- Drive platform modernization, process simplification, automation, and the adoption of data-driven decision making across the organization.- Build and leverage emerging technologies, AI capabilities, and analytics frameworks to improve service experiences ...
... hands-on experience in data science.- Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, TensorFlow/PyTorch.- Expertise in SQL for data extraction, transformation, and analysis.- Proven experience with PySpark or distributed data processing frameworks.- Deep understanding of machine learning and ...
... Kinesis.- Modern Data Stack : Design and scale a unified Lakehouse/Warehouse (e.g., Databricks, Snowflake) to handle both streaming telemetry and complex enterprise data (ERP, CRM, MES).- Data Pipelines : Build automated, resilient ETL/ELT workflows using tools like Apache Airflow, dbt, and PySpark to ensure high data quality ...
... and end-users and address their data needs Utilize databases and tools including and not limited to, Postgres, Redshift, Airflow, and MongoDB to support our data ecosystem. Leverage AI frameworks and libraries to integrate advanced analytics into our solutions. Qualifications Experience : Minimum of 3 years of experience ...
... Owner, Business Analysis, Data Analysis, or Data Governance. - BE/ https://jobeax.com/link/2DENLGgQM7whDhaE degree in Computer Science, Software Engineering, Data Science, or a related field; advanced degree preferred. - Experience working with analytics, reporting, or data platforms in a cross-functional environment. - ...