Description Machine Learning EngineerPay: Available on W2 Basis
Consultant I (Contractor)Work Location: Philadelphia, PA Hybrid, 4x Onsite
Engagement Type: 34 Week Contract, Potential for Extension or Conversion
Position OverviewWe are seeking a Machine Learning Engineer to support the design, development, and optimization of machine learning solutions for real-world applications. This role focuses on model development, data pipeline construction, and performance evaluation within a collaborative engineering environment.
Key Responsibilities- Design, build, train, and evaluate machine learning and deep learning models for production and analytical use cases
- Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion
- Conduct experiments and analyze performance metrics such as accuracy, recall, and AUC
- Optimize models for performance, speed, reliability, and scalability
- Collaborate with cross-functional teams to support data-driven solutions
Requirements Required Skills & Qualifications- Strong proficiency in Python, including PySpark
- Solid understanding of software architecture principles
- Hands-on experience with machine learning frameworks such as Scikit-learn
- Strong foundation in statistics, probability, and algorithm design
- Experience with SQL, data modeling, and building data pipelines
Nice to Have- Experience deploying machine learning models using Docker or similar tools (MLOps)
- Familiarity with deploying and working with local large language models (LLMs)
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