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

Work Setup

1.