Job Title: Senior Machine Learning Engineer Contractor – AWS ML Pipelines
Job Overview
We are seeking a highly skilled and independent Senior Machine Learning Engineer Contractor
to design, develop, and deploy advanced ML pipelines in an AWS environment. In this role, you
will build cutting-edge solutions that automate entity matching for master data management,
implement fraud detection systems, handle transaction matching, and integrate GenAI
capabilities. The ideal candidate will have extensive hands-on experience in AWS services such
as SageMaker, Bedrock, Lambda, Step Functions, and S3, as well as strong expertise in CI/CD
practices to ensure a robust and scalable solution.
Key Responsibilities
• ML Pipeline Design & Development:
o Architect, develop, and maintain end-to-end ML pipelines focused on entity
matching, fraud detection, and transaction matching.
o Integrate generative AI (GenAI) solutions using AWS Bedrock to enhance data
processing and decision-making.
o Collaborate with cross-functional teams to refine business requirements and
develop data-driven solutions tailored to master data management needs.
• AWS Ecosystem Expertise:
o Utilize AWS SageMaker for model training, deployment, and continuous
improvement.
o Leverage AWS Lambda and Step Functions to orchestrate serverless workflows
for data ingestion, preprocessing, and real-time processing.
o Manage data storage, retrieval, and scalability concerns using AWS S3.
• CI/CD Implementation:
o Develop and integrate automated CI/CD pipelines (using tools such as GitLab) to
streamline model testing, deployment, and version control.
o Ensure rapid iteration and robust deployment practices to maintain high
availability and performance of ML solutions.
• Data Security & Compliance:
o Implement security best practices to safeguard sensitive data, ensuring
compliance with organizational and regulatory requirements.
o Incorporate monitoring and alerting mechanisms to maintain the integrity and
performance of deployed ML models.
• Collaboration & Documentation:
o Work closely with business stakeholders, data engineers, and data scientists to
ensure solutions align with evolving business needs.
o Document all technical designs, workflows, and deployment processes to support
ongoing maintenance and future enhancements.
o Provide regular progress updates and adapt to changing priorities or business
requirements in a dynamic environment.
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.
Ready to take the next step in your career? Apply now by sending your resume to Anju R at anju.r@ellow.io– we’d love to hear from you!_
Remote / Work from Home
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