Production - Consultant ; Contractor

Position: Production - Consultant I (Contractor)
Machine Learning Engineer

Key Responsibilities

• Model Development:
Design, build, and train machine learning and deep learning models for real-world applications

• Data Pipeline Construction:
Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion

• Evaluation & Optimization:
Run experiments, analyze performance metrics (e.g., accuracy, recall, AUC), and optimize models for performance, speed, and scalability

Required

Skills & Qualifications

• Programming:
Strong proficiency in Python (including PySpark) with solid understanding of software architecture principles

• ML Frameworks:
Hands-on experience with machine learning libraries such as Scikit-learn

• Mathematics:
Strong foundation in statistics, probability, and algorithm design

• Data Handling:

Experience with SQL, data modeling, and building data pipelines

Nice to Have

• Production Deployment (MLOps):
Experience deploying models using tools like Docker

• LLM

Experience:

Familiarity with deploying and working with local large language models (LLMs)

Interview Process

1. Round 1 (30 mins, Virtual)

a. Experience overview, technical questions, and a live coding exercise

i.
* Requirements: video ON and full desktop screen sharing
* 2. Round 2 (60 mins, In-Person preferred)

a. Technical deep dive and live coding exercise

Work Setup

1. 4 days in office is preferred , if we can't find a local candidate, we can look for candidate local to Reston VA officer