ML EngineeriSoftTek Solutions Inc • Charlotte, NC, US
ML Engineer
iSoftTek Solutions Inc • Charlotte, NC, US
[job_card.30_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]Proficiency in Python and SQL databases : Essential for data manipulation and integration tasks. Experience with AWS cloud services : Including but not limited to : 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.
Job Description
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 :
o SageMaker
o Lambda
o Glue
o S3
o IAM
o CodeCommit
o CodePipeline
o Bedrock
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