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Key Responsibilities:
- Write clean, efficient, and maintainable Python code following best practices.
- Design and implement end-to-end ETL pipelines that incorporate ML/LLM transformations for data enrichment, classification, and standardization.
- Build and maintain LLM-powered data transformation workflows for tasks like text normalization, entity extraction, and content classification
- Work closely with product managers, solution architects, and other stakeholders to define project requirements and deliver impactful solutions.
- Collaborate with ETL engineers and domain experts to understand data requirements and implement appropriate transformations
- Stay abreast of emerging trends and technologies in AI/ML. Encourage continuous learning and the adoption of cutting-edge tools and methodologies.
- Continuously enhance data quality, automation processes, and workflows.
Qualification:
- Proven track record of working in large-scale projects.
- Strong proficiency in Python programming with 5+ years of experience in building AI/ML solutions
- Fluent in English, with excellent communication and presentation skills.
- Strong proficiency in Python and relevant libraries
- Practical knowledge of LLM (Llama, OpenAI, etc) for data transformation
- Experience with transformer-based embeddings for text vectorization and similarity matching
- Experience with SQL and NoSQL databases for data storage and retrieval
- Knowledge of data validation and quality assurance methodologies
- Bonus: Have deployed open-weight models locally
Key Responsibilities:
- Write clean, efficient, and maintainable Python code following best practices.
- Design and implement end-to-end ETL pipelines that incorporate ML/LLM transformations for data enrichment, classification, and standardization.
- Build and maintain LLM-powered data transformation workflows for tasks like text normalization, entity extraction, and content classification
- Work closely with product managers, solution architects, and other stakeholders to define project requirements and deliver impactful solutions.
- Collaborate with ETL engineers and domain experts to understand data requirements and implement appropriate transformations
- Stay abreast of emerging trends and technologies in AI/ML. Encourage continuous learning and the adoption of cutting-edge tools and methodologies.
- Continuously enhance data quality, automation processes, and workflows.
Qualification:
- Proven track record of working in large-scale projects.
- Strong proficiency in Python programming with 5+ years of experience in building AI/ML solutions
- Fluent in English, with excellent communication and presentation skills.
- Strong proficiency in Python and relevant libraries
- Practical knowledge of LLM (Llama, OpenAI, etc) for data transformation
- Experience with transformer-based embeddings for text vectorization and similarity matching
- Experience with SQL and NoSQL databases for data storage and retrieval
- Knowledge of data validation and quality assurance methodologies
- Bonus: Have deployed open-weight models locally