Job Description
Role Overview :
We are looking for an experienced AI Engineer with strong expertise in AI/ML, Data Science, and Data Engineering. The ideal candidate should have hands-on experience in building scalable data pipelines and deploying machine learning models. Minimal Telecom domain experience is mandatory.
Mandatory Skills :
– AI/ML & Data Science
– ETL (Data Pipelines, Model Development)
– Telecom domain experience (Mandatory)
– Experience with advanced AI systems including LLMs and Generative AI
Key Responsibilities :
– Architect, design, and maintain scalable, resilient data pipelines and enterprise data models to support analytics, AI, and business intelligence use cases.
– Design, build, and optimize ETL/ELT frameworks using Azure Data Factory (ADF) and cloud-native data integration patterns.
– Develop and manage cloud data platforms using Snowflake for high-performance, cost-efficient analytics workloads.
– Design and implement advanced AI and machine learning systems, including deep learning, NLP, large language models (LLMs), and generative AI solutions.
– Lead AI research, experimentation, and prototyping to solve complex business problems and identify automation opportunities.
– Build and operationalize end-to-end ML pipelines, from data preparation and feature engineering to deployment and monitoring.
– Develop executive dashboards and analytical applications that deliver actionable insights and support strategic decision-making.
– Implement CI/CD pipelines to automate data and AI workflows, ensuring reliability, reproducibility, and faster releases.
– Collaborate with engineering, analytics, product, and business teams to ensure seamless system integration and alignment with business objectives.
– Establish data engineering, analytics, and AI best practices, including governance, quality, security, and observability.
– Stay current with emerging data, AI, and LLM technologies to drive continuous innovation
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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