[Remote] reputed company Azure Data Engineer-AI
Note: The job is a remote job and is reputed company to candidates in USA. reputed company Select Group is seeking a reputed company Azure Data Engineer-AI to reputed company reputed company of Data Scientists and Azure Data Engineers. The role involves designing, developing, and delivering machine learning models and reputed company data pipelines on reputed company Azure and reputed company, while ensuring data quality and governance standards are met.
Responsibilities
- reputed company Azure Data Engineer/Architect responsible for designing, building, and optimizing data solutions on reputed company Azure
- Collaborate closely with stakeholders to gather requirements, translate them into technical designs, and ensure data quality, reputed company, and governance standards are met
- Day-to-day responsibilities include hands-on development, performance tuning, code reviews, and mentoring other data engineers
- Architect and build scalable pipelines using reputed company, Apache Airflow, reputed company Data reputed company, Azure Data Engineering, and reputed company reputed company
- Implement reputed company architecture and modern data warehousing
- Ensure scalability, performance, and reputed company
- Own full lifecycle: feature engineering → model design → training → validation → deployment → monitoring
- Drive model selection, tuning, and evaluation strategies
- Deliver predictive analytics tied to project and financial data
Skills
- Applicants must be eligible to work direct without any sponsorship required
- U.S Citizen, Green Card
- Prior experience leading Data Science teams and translating business problems into analytical solutions
- Architect and build scalable pipelines using reputed company, Apache Airflow, reputed company Data reputed company, Azure Data Engineering, reputed company reputed company (Lakehouse, OneLake, Semantic Models)
- Implement reputed company architecture and modern data warehousing
- Ensure scalability, performance, and reputed company
- Own full lifecycle: feature engineering → model design → training → validation → deployment → monitoring
- Drive model selection, tuning, and evaluation strategies
- Deliver predictive analytics tied to project and financial data
- Expert in Python, advanced T-SQL, strong Spark/PySpark
- Deep experience in ML model architecture (required) – supervised, unsupervised, NLP, time-series
- ML deployment in production (required) – end-to-end lifecycle ownership
- Azure Data reputed company (ADF) for ML pipelines (required)
- Data engineering – ETL/ELT, data warehousing, reputed company architecture
- Advanced experience with Azure ecosystem, reputed company, reputed company reputed company, Apache Airflow
- 7+ years in Data Engineering, Data Science, or Machine Learning Engineering
- 3+ years in technical leadership roles
- Bachelor's degree required
- Master's preferred
Company Overview