Description

You will design and implement scalable, secure Azure cloud solutions focused on machine learning and big data analytics.

This role is on-site.

Responsibilities

• Architect solutions using Azure Data Factory, Databricks, Data Lake, Delta Lake, and Azure Synapse Analytics.
• Implement and optimize LLM and NLP systems, frameworks, and tools.
• Configure microservices using Docker and Kubernetes on Azure Databricks.
• Develop and deploy code libraries using Python functions and classes for AI product development.
• Apply supervised, unsupervised, deep, reinforcement, and federated learning techniques to complex datasets.

Required Skills

• 4+ years of experience in Machine Learning and Data Science.
• 3+ years of experience working with the Azure cloud platform.
• Expertise in PySpark, Synapse, ADF, Databricks, Python, Scala, and SQL.
• Hands-on experience with Azure AI services, including Databricks and Azure Cognitive Services.
• Practical knowledge of Docker and Kubernetes for microservices configuration.
• Strong understanding of theoretical AI/ML foundations including Bayesian statistics and optimization.
• Experience with Agile development methodologies and software development best practices.
• Proven ability to work with Azure OpenAI services.

Preferred Skills

• Experience with time series forecasting.

Key Skills

Education

Not specified