AWS Sagemaker Developer

Requirements: 

• 7+ years of experience in machine learning and data science 
• Extensive experience with Amazon SageMaker, including: 
• Model development and testing (3+ years) 
• Model deployment (3+ years) 
• Model monitoring (2+ years) 

Key Responsibilities: 

• Develop and test machine learning models using SageMaker, leveraging built-in algorithms and custom frameworks. 
• Deploy models to production using SageMaker endpoints, batch transform, and multi-model endpoints. 
• Implement continuous monitoring of deployed models using SageMaker Model Monitor. 
• Conduct A/B testing and shadow testing for new model versions. 
• Optimize model performance and cost-efficiency using SageMaker features like Spot Training and automated hyperparameter tuning. 
• Collaborate with cross-functional teams to integrate ML models into production applications. 

Required Skills: 

• Proficiency in Python and popular ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) 
• Strong understanding of ML workflows, from data preparation to model deployment 
• Experience with AWS services related to ML pipelines (e.g., S3, CloudWatch, Lambda) 
• Familiarity with SageMaker Studio and SageMaker notebooks 
• Knowledge of best practices in MLOps and model governance 

Preferred Qualifications: 

• Experience with SageMaker features such as Autopilot, Feature Store, and Pipelines 
• Familiarity with containerization and Docker 
• Understanding of distributed computing and large-scale data processing 
• Experience with real-time and batch inference scenarios 
• AWS certifications related to machine learning or data science 

Key Responsibilities:

• Design and architect end-to-end MDM solutions using the Reltio platform, focusing on banking or Customer 360 use cases.
• Collaborate with cross-functional teams to align MDM solutions with broader organizational objectives.
• Provide technical leadership in Reltio technologies, standard methodologies, and data governance practices.
• Develop and optimize customer relationship profiles using Reltio's multi-model architecture.

Required Qualifications:

• Reltio certification as a Solution Architect.
• 8+ years of experience in large-scale program execution, with at least 3 years leading Customer 360 or similar enterprise-wide initiatives.
• Strong understanding of the banking domain or extensive Customer 360 experience.
• Expertise in data modeling, data quality management, and data governance.
• Proficiency in cloud platforms (AWS, Azure, Google Cloud) for hosting MDM solutions.
• Experience with ETL concepts, data integration frameworks, and workflow automation.

Preferred Skills:

• Familiarity with other MDM platforms.
• Understanding of regulatory requirements in the banking sector.

Key Competencies:

• Strong problem-solving and analytical skills.
• Excellent communication and stakeholder management abilities.
• Proven track record in delivering complex MDM projects.
• Ability to translate business requirements into technical solutions.