Predictive Modeling Engineer

2 days ago

Karachi, Sindh, Pakistan beBee Careers Full time
Machine Learning Engineer Job Summary

This is an exciting opportunity to work as a Senior Machine Learning Engineer and contribute to the design, development, and deployment of machine learning models and algorithms. You will be responsible for solving real-world business problems and driving innovation through cutting-edge technologies.

Key Responsibilities:
  1. Design and Develop Machine Learning Models: Create and deploy machine learning models for various applications, including predictive modeling, recommendation systems, NLP, and computer vision.
  2. Data Preprocessing and Transformation: Ensure data quality and consistency for machine learning models by overseeing data collection, cleaning, preprocessing, and transformation.
  3. Model Optimization and Performance Tuning: Continuously experiment with and optimize machine learning models to improve accuracy, performance, and efficiency.
  4. Staying Current: Stay current with the latest advancements in machine learning, deep learning, and artificial intelligence.
  5. Cross-Functional Collaboration: Work closely with data engineers to ensure seamless data pipeline integration for training and serving machine learning models.
  6. Model Maintenance: Monitor the performance of deployed models and implement continuous monitoring systems to track model drift, accuracy, and performance over time.
  7. Documentation: Write clear documentation for machine learning models and provide regular updates and reports to stakeholders.
Requirements:
  • Professional Experience: At least 4 years of professional experience in machine learning, data science, or AI engineering.
  • Education: A Master's or Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
  • Technical Skills: Strong proficiency in Python, expertise in machine learning libraries, and experience with data preprocessing techniques and tools.
  • Machine Learning Algorithms: Expertise in a wide range of machine learning algorithms, including supervised learning, unsupervised learning, reinforcement learning, and deep learning.
  • Model Deployment: Experience deploying models into production using Docker, Kubernetes, and cloud platforms.
Desired Skills & Attributes:
  • Leadership: Ability to take the lead on complex machine learning projects.
  • Problem-Solving: Ability to approach complex business challenges and deliver innovative solutions.
  • Communication: Strong ability to present complex concepts to technical and non-technical stakeholders.
  • Collaboration: Strong team player who can work closely with data scientists, software engineers, and business teams.
Benefits:
  • Competitive salary based on experience.
  • Health insurance and company benefits.
  • Opportunities for professional development and certifications.
  • Flexible working hours and a collaborative work environment.

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