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ML Engineer

ML Engineer

iSoftTek Solutions IncCharlotte, NC, US
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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.
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    Ml Engineer • Charlotte, NC, US