What you'll do-:

• Data Pipeline Architecture
• Design, develop, and maintain scalable data pipelines.
• Ensure high data quality and perform data cleansing tasks.
• Database Management: Utilize advanced SQL skills for database management and optimization.
• Cloud Platforms: Implement solutions deployment on any of AWS, GCP, or Azure.
• Programming: Develop robust applications using Python, Java, or Scala.
• Version Control: Collaborate using Git for version control.
• Performance Tuning: Optimize system performance and ensure efficient data processing.
• System Architecture: Design and implement system architectures.
• Apply NLP techniques such as tokenization, word embeddings, language modeling, sequence labeling, and text generation.
• Utilize LangChain for data processing, LLMs for data embedding, Vector databases, and prompt engineering.

What makes you a great Fit-:

•  Machine Learning
• Basic understanding of machine learning concepts.
• Experience with ML and AI techniques such as multivariate/logistic regression models, cluster analysis, predictive modeling, neural networks, deep learning, pricing models, decision trees, and ensemble methods.
• Data Warehousing: Experience with Redshift or BigQuery.
• Scripting: Knowledge of Bash or Perl for scripting.
•  API Development: Skills in API development and integration.
• Containerization: Experience with Docker and Kubernetes.
• Business Intelligence: Familiarity with business intelligence tools.