Job description

Job Role: Big Data / Machine Learning Engineer Location: Malvern, PA (Hybrid- 3 days a week onsite & must be willing to relocate and be onsite day 1) Experience: 7+ years Duration: Long term Visa: Except OPT, CPT 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 8 years of relevant work experience. • At least 6 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. • Strong 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.

Requirements