AI-ML Data Engineer

• Drive the development of innovative methods for processing of standardization documents and deliverables from 3GPP, ETSI, and O-RAN-ALLIANCE
• Extract and structure information from various document formats, to make the associated information available to our internal stakeholders.
• Drive the development of innovative methods for processing and standardizing documents.
• Extract and structure information from various document formats, ensuring alignment with the cutting-edge research and development in telecommunications.
• Drive the development of innovative methods for processing and standardizing documents from 3GPP, ETSI, O-RAN-ALLIANCE, ITU and IEEE.

Extract and structure information from various document formats, ensuring alignment with the cutting-edge research and development in telecommunications

You have:

• A background with a masters or bachelor's degree in Computer Science, Data Engineering, Telecommunications, or a related field with min 4-10yrs of experience.
• Strong background on document processing and information extraction.
• Strong capability in processing and extracting information from a range of document formats.
• Proficiency in programming languages such as SQL/NoSQL and Python.
• Expertise in data quality frameworks.
• Strong hands-on coding skills and ability to function as independent contributor.

Required Skills:

• Hands-on coding experience using Python
• Experience in ETL process.
• Experience in wireless or embedded systems is mandatory.
• Experience on working with Databases such as PostgreSQl and ElasticSearch and vector based DBs.
• Expertise is extracting and transforming unstructured/semi-structured data.
• Experience in designing robust data pipelines.
• Expertise on tools such as Apache Airflow.
• Good Understanding of Kubernetes and docker.
• Should have extensive knowledge on challenges involved in handling large volume of structured/semi structured data.
• Should have basic understanding of RAG pipelines and LLMs.
• Understanding of REST services.

It would be nice if you also have:

• Knowledge of ML frameworks like Tensorflow, keras
• Knowledge of cloud concepts and involvement in cloud migration projects.
• A good understanding of standardization related documents and documentation practices from different standardization bodies.