| Data Fabric-ETL-IBM Infosphere Datastage Suite || Remote || 10+ years at Remote, Remote, USA |
| Email: [email protected] |
| Greetings from ICONIC Infosys Inc !! ICONIC Infosys Inc is an IT Development & IT Staffing firm with more than a decade of experience in providing IT Staffing Solutions & Services. Our expertise is in sourcing and deploying highly skilled IT Specialists into mainstream and niche technologies to meet clients Temporary, Permanent & SOW project needs. Role: Data Fabric-ETL-IBM Infosphere Datastage Suite Location: Remote Duration: Long term Mandatory skills : Data Fabric-ETL-IBM Infosphere Datastage Suite Job description A solid foundation in Python programming is essential, along with familiarity with popular AI libraries/frameworks such as Langchain, TensorFlow, PyTorch, scikit-learn, and spaCy. Demonstrated proficiency in developing AI solutions using Azure services, including Azure AI Search, Azure OpenAI APIs, and Azure SQL Database. In-depth knowledge of search algorithms, indexing techniques, and retrieval models for effective information retrieval tasks. Familiarity with search platforms like Elasticsearch or Azure AI Search is highly advantageous. Hands-on experience with RAG architecture and its application in natural language processing tasks is a must. Ability to proficiently manipulate data, perform complex queries, and conduct data transformations using SQL Server. A solid understanding of machine learning and deep learning techniques, particularly those relevant to natural language processing tasks such as text extraction, text classification, sentiment analysis, named entity recognition, and summarization. Ability to preprocess and clean large datasets efficiently using SQL/Python and other data manipulation tools. Experience with techniques such as data normalization, feature engineering, and data augmentation is preferred. Expertise in working with healthcare data standards (ex. HIPAA and FHIR), sensitive data and data masking techniques to mask personally identifiable information (PII) and protected health information (PHI) is essential. Knowledge of cloud computing principles and experience in deploying, scaling, and monitoring AI solutions on cloud platforms like Azure. Ability to communicate complex technical concepts effectively to technical and non-technical stakeholders and collaborate with cross-functional teams. Analytical mindset with a keen attention to detail, coupled with the ability to solve complex problems efficiently. Knowledge of cloud cost management principles and best practices to optimize cloud resource usage and minimize costs. Must Have: Minimum of 10 years experience as a data scientist. Deep hands-on experience using Python. Hands-on experience scaling POC to production Hands-on experience with Azure Cloud eco-system Hands-on experience using tools such as Document Intelligence (formerly Azure Form Recognizer), Snowflake, Azure AI Search, Azure OpenAI Experience working with PII/PHI Hands-on experience working with unstructured data. Must have implemented a use case using RAG architecture. Best Regards , Sai Krishna Technical Recruiter Email: [email protected] www.iconicinfosys.com -- To post to this group, send email to [email protected]. Keywords: artificial intelligence information technology Data Fabric-ETL-IBM Infosphere Datastage Suite || Remote || 10+ years [email protected] |
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| Tue Jul 30 19:40:00 UTC 2024 |