MLOps Engineer

Job Title : MLOps Engineer

Location : Providence RI Remote

Duration : 6 months Contract

Job Description :

• Experience working within the Azure ecosystem including Azure AI Search Azure Storage Blob Azure Postgres and understanding how to leverage them for data processing storage and analytics tasks.
• Ability to preprocess and clean large datasets efficiently using Azure Tools / Python and other data manipulation tools. Experience with techniques such as data normalization feature engineering and data augmentation is preferred.
• To have background in Data Science / MLOps and proficiency in DevOps CI / CD Azure Cloud computing and Model monitoring.
• 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.
• 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 a must.
• Familiarity with chunking techniques and working with vectors and vector databases like Pinecone.
• Ability to design develop and maintain scalable data pipelines for ingesting processing and transforming large volumes of structured and unstructured data.
• Experience with implementing best practices for data storage retrieval and access control to ensure data integrity security and compliance with regulatory requirements.
• Be able to implement efficient data processing workflows to support the training and evaluation of solutions using large language models ensuring reliability scalability and performance.
• Ability to proactively identify and address issues related to data quality pipeline failures or resource contention ensuring minimal disruption to systems.
• Experience with large language model frameworks such as Langchain and know how to integrate them into data pipelines for natural language processing tasks.
• Experience working within the snowflake ecosystem.
• Knowledge of cloud computing principles and experience in deploying scaling and monitoring AI solutions on cloud platforms like Snowflake Azure AWS.
• Ability to communicate complex technical concepts effectively to technical and nontechnical stakeholders and collaborate with crossfunctional 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.

Key Skills :

MLOps Data Science Azure AI LLM Azure Functions Python Healthcare Data Standards Snowflake.

Key Skills

ASP.NET,Health Education,Fashion Designing,Fiber,Investigation

Employment Type : Full Time

Vacancy : 1