AWS SageMaker / Sagemaker Admin

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.

Role: Full Stack Data Scientist

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

PG: Any Postgraduate