Role : Sr. Data Scientist
Location : Remote
Azure Cloud and Snowflake
- Experience within the Azure ecosystem (including Azure AI Search Azure Storage Blob Azure Postgres and Azure SQL) with expertise in leveraging these tools for data processing storage AI models and analytics tasks.
- Experience within the Snowflake ecosystem (including Snowflake data warehouse Snowpark Snowflake Notebooks and Streamlit) with expertise in leveraging these tools to create data and AI pipelines.
- Knowledge of cloud computing principles and experience in deploying scaling and monitoring AI solutions on cloud platforms like Azure.
Data Science and AI Development
A solid foundation in Python programming is essential along with familiarity with popular AI libraries / frameworks such as Langchain TensorFlow PyTorch scikitlearn and spaCy .Demonstrated proficiency in developing AI solutions using Azure services including Azure AI Search Azure OpenAI APIs and Azure SQL Database.Indepth 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.Handson 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 Microsoft 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.Required : Familiarity with opensource AI Agentic frameworks (Crew.ai Agno Microsoft AutoGen browseruse)Basic familiarity with (but not proficiency in) alternative AI programming languages (Julia Haskell R Scala C)Demonstrated experience in productionalizing AI models that have been developed including endtoend deployment and integration into business systems. Delivers AI models to the last mile. Does not have a code it and let someone else deploy it mentality.Demonstrated experience in integrating AI models into business systems such as Salesforce PowerBI etc.Healthcare Data Privacy and AI Governance
Expertise in healthcare data standards such as HIPAA and FHIR with a deep understanding of sensitive data handling and data masking techniques to protect PII and PHIAbility to implement model governance practices to ensure compliance and auditability of AI / ML system.Ability to liaise with nontechnical business stakeholders to ask them questions provide updates and collect requirementsMust Have :
Minimum of 10 years experience as a data scientist.Demonstrated track record of deploying multiple AI models into production and demonstrated track record of quantifying business impact from the modelsDeep handson experience using Python (or R Julia Haskell or Scala).Handson experience scaling POC to productionHandson experience with Azure Cloud ecosystemHandson experience using tools such as Azure Document Intelligence (formerly Azure Form Recognizer) Snowflake Azure AI Search Azure OpenAI Azure AI FoundryExperience working with PII / PHIHandson experience working with unstructured data.Must have implemented a use case using RAG architecture.Key Skills
Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills
Employment Type : Full Time
Vacancy : 1
