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Urgent! ML Engineer Job Opening In Charlotte North Carolina – Now Hiring iSoftTek Solutions Inc



Job description

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.


 



 


Required Skill Profession

Architecture And Engineering



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