Azure ML Architect

Azure ML Architect with Experience on Data Bricks Development platform

Santa Clara, CA

6+ Months

Prior Experience Hands on experience on working in Azure cloud platform. Experience in designing and implementing scalable and secure Azure cloud solutions using Data Bricks ML platform.

Understanding of implementation of architecture within Azure Big Data Analytics Al tools.

Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation.

Experience in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL.

Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks Extensive Experience on working on Azure AI services including Data Bricks and Azure cognitive services.

Highly preferred experience on working with Azure OpenAI services.

Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools.

Hands-on AI/ML modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/ML.

Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization. Experience in creating and deploying code libraries using functions and classes in Python in AI product-focused development. Well-versed in software development and code quality best industry practices. Experience working with Agile Development methodologies.

Responsibilities: your primary responsibility is to Architect, design and develop AI application on Azure cloud.

Lead the azure cloud architecture design for various applications depending on business requirements.

Prototypes and do proof of concepts (PoC) in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc.

Stay up to date with the latest advancements in LLM, NLP, deep learning, machine learning, and object detection algorithms, and proactively identify opportunities to leverage new technologies for improved solutions.

You will work with a team of researchers and engineers to build state-of-the-art language models that can understand and generate human-like text.

Work with business users to translate functional requirements into data specifications Collaborate with data scientists and business users to transform domain know-how into functional requirements.

4-6 years of IT experience with a min of 3+ years in Data Science (AI/ML) with a specialization in NLP and Azure Data Bricks for development and Azure Services.

Strong Expertise in the Azure cloud solutions.

Strong programming skills in Python.

Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) is highly desirable.

Solid understanding of natural language processing techniques, including language modeling, text classification, sentiment analysis, and machine translation.

Familiarity with statistical and machine learning approaches, such as neural networks, recurrent neural networks (RNN), and transformer models. Experience with large-scale data processing, including data collection, cleaning, and preprocessing.

Proficiency in working with UNIX/Linux environments and command-line tools.

Strong analytical and problem-solving abilities.

Excellent communication skills, interpersonal, written, visual (presentations), and verbal.