Job Description

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Hands on experience on working in Azure cloud platform
Experience in designing and implementing scalable and secure Azure cloud solutions using Data Bricks Client 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.
your primary responsibility is to Architect, design and develop AI application on Azure cloud and Databricks.
Lead the azure cloud architecture design for various applicatoins depending on business requirements
Prototypes and do proof of concepts (PoC) in one or all the following areas: LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc.
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.
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
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.Qualification:-
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.
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.Certification:-
Databricks - Machine learning professional (highly preferred)

NR Consulting