ML Engineer 100 Remote
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Job Location:
Monthly Salary:
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
ML Engineer - 100% Remote
Location - 100% Remote
Job Type - Contract
Budget - 1.2 LPM
Experience - 5 Years
Required Qualifications
* Technical Expertise:
o 5 years of professional experience in developing and deploying ML models and
pipelines.
o Proven expertise in AWS services including SageMaker Bedrock Lambda Step
Functions and S3.
o Strong proficiency in Python and/or PySpark for data manipulation model
development and pipeline implementation.
o Demonstrated experience with CI/CD tools and methodologies preferably with
GitLab or similar version control systems.
o Practical experience in building solutions for entity matching fraud detection and
transaction matching within a master data management context.
o Familiarity with generative AI models and their application within data
processing workflows.
* Analytical & Problem-Solving Skills:
o Ability to transform complex business requirements into scalable technical
solutions.
o Strong data analysis capabilities with a track record of developing models that
provide actionable insights.
* Communication & Collaboration:
o Excellent verbal and written communication skills.
o Demonstrated ability to work independently as a contractor while effectively
collaborating with remote teams.
o Proven record of quickly adapting to new technologies and agile work
environments.
Preferred Qualifications
* Bachelors or Masters degree in Computer Science Data Science Engineering or a
related field.
* Experience with additional AWS services such as Kinesis Firehose and SQS.
* Prior experience in a consulting or contracting role demonstrating the ability to manage
deliverables under tight deadlines.
* Experience within industries where data security and compliance are critical
Location - 100% Remote
Job Type - Contract
Budget - 1.2 LPM
Experience - 5 Years
Required Qualifications
* Technical Expertise:
o 5 years of professional experience in developing and deploying ML models and
pipelines.
o Proven expertise in AWS services including SageMaker Bedrock Lambda Step
Functions and S3.
o Strong proficiency in Python and/or PySpark for data manipulation model
development and pipeline implementation.
o Demonstrated experience with CI/CD tools and methodologies preferably with
GitLab or similar version control systems.
o Practical experience in building solutions for entity matching fraud detection and
transaction matching within a master data management context.
o Familiarity with generative AI models and their application within data
processing workflows.
* Analytical & Problem-Solving Skills:
o Ability to transform complex business requirements into scalable technical
solutions.
o Strong data analysis capabilities with a track record of developing models that
provide actionable insights.
* Communication & Collaboration:
o Excellent verbal and written communication skills.
o Demonstrated ability to work independently as a contractor while effectively
collaborating with remote teams.
o Proven record of quickly adapting to new technologies and agile work
environments.
Preferred Qualifications
* Bachelors or Masters degree in Computer Science Data Science Engineering or a
related field.
* Experience with additional AWS services such as Kinesis Firehose and SQS.
* Prior experience in a consulting or contracting role demonstrating the ability to manage
deliverables under tight deadlines.
* Experience within industries where data security and compliance are critical
Required Skills:
SAGEMAKERMLCI/CDPYTHON
