Hi,
Please provide me suitable resumes for below position.
Title: Azure ML Architect with experience on Data Bricks Development platform
Location: Santa Clara, CA – onsite
Duration: Long term
Need Data science candidate with Data bricks and azure
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.
- Good to have 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
- 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:
- Primary responsibility is to Architect, design and develop AI application on Azure cloud and Databricks.
- Lead the azure cloud architecture design for various applications depending on business requirements
- Hands-on experience in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc.
- 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.
- Model Training and Evaluation: Train and fine-tune language models using appropriate machine-learning frameworks and tools.
- Research and Innovation: Stay up to date with the latest advancements in the field of natural language processing and machine learning.
Collaboration and Communication:
- Collaborate effectively with cross-functional teams, including researchers, DevOps architects/engineers and project managers.
- Documentation and Knowledge Sharing: Document code, algorithms, and processes to ensure effective knowledge transfer and maintain codebase quality.
Requirements:
- B.E./ B. Tech / M. Tech/ MCA (Computer Science/Electronics & Communication/Electrical), a master's in computer science, artificial intelligence, or a related field, or a specialization in natural language processing is preferred.
- 4-6 years of IT experience with a min of 3+ years in Azure Data Bricks for development and Azure Services.
- Strong Expertise in the Azure cloud solutions.
- Strong programming skills in Python.
- Familiarity with statistical, ML and DL techniques and models
- Hands-on experience in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc.
- Experience with ML / DL frameworks (e.g., Sklearn, TensorFlow, PyTorch) is needed.
- 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.
Certifications
Databricks – Machine learning professional (highly preferred)
Thanks,
Rajinikanth Lakka
Sr. Lead Technical Recruiter
Email: [email protected]
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