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Tech Stack
Tools & technologiesAWSAzureBigQueryCloudGoogle Cloud PlatformPythonSparkSQL
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLBigQuerySparkAI/ML solutionsfeature engineeringalgorithm implementationCI/CD practicesdata processingmodel training
Soft Skills
collaborationcommunication
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Data Science
