Senior Data Scientist

Position : Contract ( 1 year)

Location :Hyderabad,Bangalore,Noida,Indore

Client : MNC

Data Scientist

• A solid foundation in Python programming is essential, along with familiarity with popular AI libraries and 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 (Retriever-Augmented Generation) architecture and its application in natural language processing tasks is essential.
• 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 (e.g., HIPAA and FHIR), handling sensitive data, and applying data masking techniques to protect personally identifiable information (PII) and protected health information (PHI).
• 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 both technical and non-technical stakeholders and collaborate with cross-functional teams.
• An 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 with Python.
• Hands-on experience scaling POCs (proof of concepts) to production.
• Hands-on experience with the Azure Cloud ecosystem.