BI Developer

3 weeks ago

Bangalore, India Overture Rede Private Limited. Full time

About the Role:

We are seeking a talented DWH/BI Developer with a unique blend of data warehousing, business intelligence, and deep learning expertise to join our team.

You will play a key role in leveraging cutting-edge technologies to extract valuable insights from large datasets and transform them into actionable information for our business Design, develop, and implement data warehousing and business intelligence solutions using tools and technologies like Pyspark/Databricks and Python.

- Apply deep learning techniques (experience in MLOps is a plus) to enhance data analysis and feature engineering processes.

- Possess strong NLP/LLM (Large Language Model) experience and expertise in processing text data using LLMs.

- Develop and deploy machine learning models as APIs using frameworks like FastAPI or Flask API.

- Experience working with GPUs to accelerate deep learning model training and inference.

- Build backend applications for data processing and manipulation using Python and deep learning libraries.

- Integrate vector databases like Milvus, Azure Cognitive Search, or Quadrant into your solutions for efficient data retrieval.

- (Optional, but a plus) Utilize your knowledge of transformers and work with Hugging Face models (Llama, Mixtral AI) for text analysis and embedding Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field (or equivalent experience).

- 3-5 years of experience working as a DWH/BI developer or in a similar data analytics role.

- Strong proficiency in Pyspark/Databricks and Python programming for data manipulation and analysis.

- Solid understanding of data warehousing and business intelligence concepts.

- Experience in deep learning engineering, including model development, training, and deployment (MLOps experience is a plus).

- In-depth knowledge of natural language processing (NLP) techniques and large language models (LLMs).

- Familiarity with building and deploying APIs using frameworks like FastAPI or Flask API.

- Experience working with GPUs for deep learning workloads.

- (Optional, but a plus) Knowledge of containerization technologies (Docker) and container orchestration (Kubernetes).

- (Optional, but a plus) Experience working with cloud platforms (VM management, Azure storage) for data storage and scalability.

- Sound data engineering principles and best practices.

(ref:hirist.tech)

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