Senior Machine Learning Engineer

Remote
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AI Summary

Develop and deploy ML models and pipelines. Utilize AWS services, including SageMaker, Bedrock, Lambda, StepFunctions, and S3. Collaborate with remote teams to deliver scalable technical solutions.

Key Highlights
Develop and deploy ML models and pipelines
Utilize AWS services
Collaborate with remote teams
Key Responsibilities
Transform complex business requirements into scalable technical solutions
Develop models that provide actionable insights
Work independently as a contractor while effectively collaborating with remote teams
Technical Skills Required
Python PySpark AWS SageMaker AWS Bedrock AWS Lambda AWS StepFunctions AWS S3 GitLab CI/CD tools
Benefits & Perks
100% remote
Contract
Nice to Have
Bachelor’s or Master’s 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

Job Description


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



* Bachelor’s or Master’s 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

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