... variety of initiatives related to Trucost/ESG operations. Collection, Standardization, and validation of business relations, competitors, and products and services data from companies' published reports. Deliver on predefined individual and team targets including delivering outcomes with quality and excellence. Will work ...
... AWS cloud services like Glue, Athena etc. Bachelor's or Master's degree in Computer Science/Information Systems. At least 4+ years of experience in building data flow and data management on a modern big data tech stack. Strong experience in using ETL frameworks (e. g., Airflow, Jenkins) to build and deploy production-quality ...
... LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, ...
... managing, and modernizing the complex technology infrastructure that large enterprises depend on every day. It is one of the world's largest IT infrastructure services providers and supports thousands of customers across more than 60 countries. Job Title: Data Analyst-Data Validation Work Mode: Hybrid Experience: 8+ yrs. Job ...
... influencers that drive it. We are seeking a highly skilled Senior Data Engineer with extensive experience in designing, building, and optimizing high-volume data pipelines. The ideal candidate will have strong expertise in Python, Databricks on Azure Cloud services, DevOps, and CI/CD tools, along with a solid understanding ...
... Deployment) for automated deployment and testing of data solutions. Collaborate with cross-functional teams to understand data requirements and deliver high-quality data products. Ensure data quality, reliability, and security within the data ecosystem. Skills Required: AWS certification . Proficiency in AWS Big Data Services ...
Job Description :We are seeking an experienced Data Science Manager to lead a team of data scientists and analysts in developing data-driven products, insights, and https://jobeax.com/link/5WM6jVJPxXxkaX5M ideal candidate will have a strong background in applied machine learning, data strategy, and stakeholder management, ...
As a Reference Data Specialist within the Instrument, Pricing & Common Reference Data team, your role will encompass a variety of responsibilities. These include daily capture and validation of bond prices from third-party sources, analyzing price movements in relation to market news and expectations, and liaising with ...
... familiar with database systems, and can comfortably work with PostgreSQL, as well as NoSQL solutions like MongoDB or DynamoDB. Hands-on experience using Cloud Dataware houses like AWS Redshift, GBQ, etc. Experience with AWS cloud services: EC2, EMR, RDS, Redshift, and AWS Batch would be an added advantage. Have a solid understanding ...
... do not apply. Build highly efficient and scalable ETL processes using big data technology Leverage large scale cloud infrastructure to build high throughput services Designing and implementing code in SQL/Python Good understanding and implementation experience in Data Governance, Data Quality, Data Modelling etc. Ensure ...
... implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML ...
... US product and analytics team. Build statistical and ML models to create, expand, and score audience segments from survey, panel, purchase, and media-exposure data Lead data fusion work, combining deterministic and probabilistic sources into one representative consumer view while correcting for bias Partner with ML Engineering ...
... implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML ...
... - Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etc - Understand business problems and translate them into AI/ML solutions. - Perform data collection, preprocessing, feature engineering, and exploratory data analysis. - Develop supervised and unsupervised machine learning models. - Design and optimize ...
Data Scientist Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a global, integrated healthcare services and products company connecting patients, providers, payers, pharmacists and manufacturers for integrated care coordination and better patient management. Backed by nearly 100 years of experience, ...
Role: Senior Data Scientist Responsible for designing, developing, testing and deploying ML models that can leverage multiple signal sources, to build a personalized user experience Work closely with the business stakeholders to identify the potential Data science applications Contribute by doing opportunity analysis, building ...
... deployment, monitoring, versioning, explainability and MLOps workflows. Establish and enforce CI/CD, automated testing, observability and incident response for data pipelines, models and analytics services. Define and enforce data governance, security, privacy and compliance standards in partnership with legal and security ...
... pipelines for enterprise data platforms, ensuring data quality, integrity, and security. Implement data engineering solutions utilizing Microsoft Fabric, Azure Data Factory, Databricks, PySpark, Spark SQL, and Python to process structured, semi-structured, and unstructured data. Build data pipelines that integrate data from ...
... development of AI and machine learning solutions, including data preparation, model training, fine-tuning, and deployment strategies. Design and implement scalable data pipelines to curate, cleanse, and prepare structured and unstructured data for machine learning and foundation model training. Build and optimize complex agentic ...
... Python, Generative AI, LLMs, and RAG.- Strong knowledge of Machine Learning algorithms and solution design/storyboarding.- Practical experience with AI Cloud Services AWS, Azure, or GCP; PySpark/Scala and Big Data technologies are a plus.- https://jobeax.com/link/5Im6Nfh21WlEEm2q MSc, MBA, or MTech in Statistics, Economics, ...