iSoftTek Solutions Inc
ML Engineer
iSoftTek Solutions Inc, Charlotte, North Carolina, United States, 28245
ML Engineer
Location:
Charlotte, NC or Malvern, PA (hybrid - 3 days/week from office)
Duration:
06 months
yrs of exp:10
Job Description:
Overview:
We are seeking Full Stack ML Engineers to support the Hyper Personalization program for our Wealth client, a key initiative aimed at enhancing personalization within financial services. This role requires strong delivery-focused individuals with a deep understanding of the AWS tech stack and financial services personalization.
Responsibilities: •Integrate AI/ML models with multiple data sources: Ensure seamless data flow in and out of models. •Fine-tune existing models: Optimize performance and adapt models to evolving requirements. •Build and maintain data pipelines: Design and implement ETL processes to support model integration. •Monitor and manage ML models in production: Implement MLOps practices for model monitoring, tracking, and maintenance. •Collaborate with cross-functional teams: Work closely with data scientists, data engineers, and other stakeholders to deliver robust ML solutions. •Drive architecture and engineering best practices: Lead efforts to establish and enforce best practices in building the integration framework.
Technical Skills: •Proficiency in
Python and SQL databases : Essential for data manipulation and integration tasks.
•Experience with AWS cloud services: Including but not limited to:
o SageMaker
o Lambda
o Glue
o S3
o IAM
o CodeCommit
o CodePipeline
o Bedrock •Experience with data pipeline and workflow management tools: Such as Apache Airflow or AWS Step Functions. •Understanding of ETL techniques, data modeling, and data warehousing concepts: To build efficient data pipelines. •Familiarity with AI/ML platforms and tools: Including TensorFlow, PyTorch, MLflow, and others. •Knowledge of MLOps practices: Including model monitoring, data drift detection, and pipeline automation. •Experience with Docker and AWS ECR: For containerization of ML applications.
Location:
Charlotte, NC or Malvern, PA (hybrid - 3 days/week from office)
Duration:
06 months
yrs of exp:10
Job Description:
Overview:
We are seeking Full Stack ML Engineers to support the Hyper Personalization program for our Wealth client, a key initiative aimed at enhancing personalization within financial services. This role requires strong delivery-focused individuals with a deep understanding of the AWS tech stack and financial services personalization.
Responsibilities: •Integrate AI/ML models with multiple data sources: Ensure seamless data flow in and out of models. •Fine-tune existing models: Optimize performance and adapt models to evolving requirements. •Build and maintain data pipelines: Design and implement ETL processes to support model integration. •Monitor and manage ML models in production: Implement MLOps practices for model monitoring, tracking, and maintenance. •Collaborate with cross-functional teams: Work closely with data scientists, data engineers, and other stakeholders to deliver robust ML solutions. •Drive architecture and engineering best practices: Lead efforts to establish and enforce best practices in building the integration framework.
Technical Skills: •Proficiency in
Python and SQL databases : Essential for data manipulation and integration tasks.
•Experience with AWS cloud services: Including but not limited to:
o SageMaker
o Lambda
o Glue
o S3
o IAM
o CodeCommit
o CodePipeline
o Bedrock •Experience with data pipeline and workflow management tools: Such as Apache Airflow or AWS Step Functions. •Understanding of ETL techniques, data modeling, and data warehousing concepts: To build efficient data pipelines. •Familiarity with AI/ML platforms and tools: Including TensorFlow, PyTorch, MLflow, and others. •Knowledge of MLOps practices: Including model monitoring, data drift detection, and pipeline automation. •Experience with Docker and AWS ECR: For containerization of ML applications.