You will be a key hands-on contributor responsible for the implementation, testing, and maintenance of AI/ML solutions.
Support the core strategy of transitioning from reactive, queue-based work to continuous, 24/7 autonomous network coverage.
Responsible for developing and deploying production-grade AI driven Agents.
Focus on data processing, feature engineering, and implementation of algorithms that detect issues, aggregate impact, and generate evidence-based insights.
Develop and implement components of AI/ML solutions using Python and CI/CD practices.
Contribute to building scalable and efficient AI Agents for large-scale data processing.
Write complex queries using SQL/BigQuery to extract data and build features necessary to train models and derive business insights.
Assist in designing and implementing AI/ML pipelines for model training and deployment.
Collaborate effectively with team members.

Bachelor’s degree in Computer Science, Data Science, or a related field or four or more year of work experience.
Three or more years of relevant work experience.
Two or more years of experience developing and implementing AI/ML solutions.
Strong programming skills in Python and Spark, with experience in CI/CD practices.
Experience with public cloud platforms (AWS, Azure, GCP) and distributed computing.
Understanding of AI/ML algorithms, including deep learning and generative AI techniques.
Experience working with GCP, BigQuery/SQL, Python, and Spark.

Engineer III, Spec – AI Science

Key skills