Data Engineer

job summary:

We are seeking an experienced Machine Learning Engineer to join our AI/ML Engineering team. You will be responsible for developing and optimizing complex data pipelines, integrating model pipelines, and building scalable AI/ML solutions, including large language models (LLMs). The ideal candidate will possess a robust background in traditional machine learning, deep learning, and significant experience with large datasets and cloud-based AI services.

Develop and optimize complex data pipelines, applying machine learning engineering principles to enhance efficiency and scalability.

Integrate and optimize data and model pipelines within production environments, diagnosing data inconsistencies and documenting assumptions.

Collaborate with data science teams to review model-ready datasets and feature documentation, ensuring completeness and accuracy.

Perform data discovery and analysis of raw data sources, applying business context to meet model development needs.

Comfort with exploratory data exploration and tracking data lineage during inception or root cause analysis.

Write and maintain model monitoring scripts, diagnosing issues and coordinating resolutions based on alerts.

location: Malvern, Pennsylvania

job type: Contract

salary: $55 - 60 per hour

work hours: 8am to 5pm

education: Bachelors



responsibilities:

• We are seeking an experienced Machine Learning Engineer to join our AI/ML Engineering team. You will be responsible for developing and optimizing complex data pipelines, integrating model pipelines, and building scalable AI/ML solutions, including large language models (LLMs). The ideal candidate will possess a robust background in traditional machine learning, deep learning, and significant experience with large datasets and cloud-based AI services.
• Develop and optimize complex data pipelines, applying machine learning engineering principles to enhance efficiency and scalability.
• Integrate and optimize data and model pipelines within production environments, diagnosing data inconsistencies and documenting assumptions.
• Collaborate with data science teams to review model-ready datasets and feature documentation, ensuring completeness and accuracy.
• Perform data discovery and analysis of raw data sources, applying business context to meet model development needs.
• Comfort with exploratory data exploration and tracking data lineage during inception or root cause analysis.
• Write and maintain model monitoring scripts, diagnosing issues and coordinating resolutions based on alerts.

qualifications:

Around 5-8 years of relevant work experience (Machine Learning Engineering).

At least 3 years of hands-on experience designing ETL pipelines using AWS services (e.g., Glue, SageMaker).

Proficiency in programming languages, particularly Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks.

Robust understanding of cloud technologies, including AWS and Azure.

Experience with API design and development is a plus.

Solid understanding of software engineering principles, including design patterns, testing, security, and version control.

Familiarity with Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, and Model Evaluation.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.


Any consideration of a background check would be an individualized assessment based on the applicant or employee's specific record and the duties and requirements of the specific job.