... 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 for ...
... 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 ...
... 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, ...
... 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 for ...
Design and implement data pipelines for supply chain data (e.g., inventory, shipping, procurement). - Develop and maintain data warehouses and data lakes. - Ensure data quality, integrity, and security. - Develop data models and algorithms for predictive analytics (e.g., Implement data visualization tools (e.g., Tableau, ...
... broader data work - Take on small modules or features with increasing independence over time. - Contribute to exploratory analysis, feature preparation, and simple data science experiments where relevant. - Help turn ambiguous business questions into structured analysis approaches, measurable outcomes, and clear recommendations. ...
... pipelines to ingest, transform, and validate data from marketplace, inventory, and sales sources Build and maintain SQL data lake storage so historical and change data stays available for analysis Automate recurring data jobs (e.g., via Rundeck) and monitor them for failures and data anomalies Use AI tools to accelerate pipeline ...
... transformation, and loading (ETL) of data. Your responsibilities will include: - Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. - Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. ...
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,
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) ...
The EDO Sustainable1 DATA OPERATIONS team at S&P Global is a project-focused, international group dedicated to excellence in sustainability data management. We are responsible for one of the world's most complete datasets on corporate sustainability, supporting global investors, corporates, and stakeholders with in-depth ...
... drives solutions. Career progression planning with dedicated time each month for learning and development. FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including ...
... technology, GPON/FTTH network, IP-MPLS Network and Fiber network etc. - Proficient in MS-Excel, MS-Power Point and MS-Visio. - Ability to collect the Network data from various network & data base tools like – OHS, ARM, Seibel, CNMT, CEOS, Helix and other OSS/BSS tools and streamline the Network & services information to ...
... experience in developing games or software using the Cocos engine for both ios & android. Some record of contribution to any popular front end open-source project is a big plus. Skills that will help you succeed in this role: An ideal Game developer would have 3-6 years of experience in building highly scalable & immersive games. ...
Looking for a Data Engineering professional to work on our Hadoop-based data warehouse, contributing to scalable and reliable big data solutions for analytics and business insights. You will be building, optimizing, and maintaining large data pipelines and warehouse infrastructure in this role. Key Responsibilities Minumum ...
... Improvement Plans. Monitor and report on trade compliance effectiveness, identify gaps, advise on local risk and manage mitigation of these risks. Audit and maintain data governance in SAP and global product database and applicable trade compliance records in accordance with regulatory requirements. Provide accurate trade data ...
... 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 ...