Data Scientist

3 weeks ago

Bangalore, Karnataka, India Codersbrain technology pvt ltd Full time

Title: Data scientist with LLM and Deep learning experience

location: Bengaluru

Experience: 5+ Years

Job Description:

(JD is similar to Azure Databrick ML, please discount Databrick and search someone who is in pure Data scientist and worked heavily in LLM and DL. 7+ yr if good profile, please send.)

- 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:


- Your 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


- 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.


- 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


- 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. 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.

Mandatory Skills: Data science,LLM,Deep learning,machine learning,Azure data bricks,Azure datafactory,Azure datalake

(ref:hirist.tech)

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