Job Description Insight Global is looking to add a Senior Data Scientist to their Telecommunications client. We are looking for an individual with strong, hands-on experience designing, building, training, and implementing AI/ML models in production environments. This role requires hands on experience in AI and machine learning, deep Python expertise, and extensive use of AWS (including AWS Bedrock) and GCP. The ideal candidate has a strong database background (Oracle, SQL, MongoDB) or experience working with infrastructure operating systems, and has served as a technical lead on AI initiatives. This individual must be able to clearly explain prior use cases, methodologies, tools selected, and whether solutions were successfully implemented, while adapting quickly to the rapidly evolving AI landscape. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce : Skills and Requirements 510 years of hands-on experience in AI and machine learning development Bachelors degree in Data Science, Computer Science, or a related field Proven experience architecting, designing, coding, training, and implementing ML models in production Strong Python programming experience Hands-on experience with AWS (including AWS Bedrock) and cloud-based ML solutions Experience with monitoring and dashboarding tools such as Prometheus and Grafana Database experience with Oracle, SQL, and MongoDB or background working with infrastructure operating systems Experience leading or owning AI/ML projects end to end - AWS, GCP, or similar certification

The role requires 5-10 years of hands-on experience in AI and machine learning development. A Bachelor's degree in Data Science, Computer Science, or a related field is necessary. Proven experience in architecting, designing, coding, training, and implementing ML models in production is essential. Strong Python programming experience is a requirement, along with hands-on experience with AWS (including AWS Bedrock) and cloud-based ML solutions. Experience with monitoring and dashboarding tools such as Prometheus and Grafana is also needed. Additionally, database experience with Oracle, SQL, and MongoDB or a background working with infrastructure operating systems is required. Experience leading or owning AI/ML projects end to end is also a key qualification, as is an AWS, GCP, or similar certification.