Data Science Lead

7 days ago

Karachi, Sindh, Pakistan beBee Careers Full time
Job Description

In this role, you will be responsible for designing, developing, and deploying machine learning models and algorithms to solve real-world business problems.

Responsibilities:
  1. Develop Machine Learning Models: Create and deploy machine learning models for various applications, including predictive modeling, recommendation systems, NLP, and computer vision.
  2. Ensure Data Quality: Oversee data collection, cleaning, preprocessing, and transformation to ensure data quality and consistency for machine learning models.
  3. Optimize Model Performance: Continuously experiment with and optimize machine learning models to improve accuracy, performance, and efficiency.
  4. Stay Current: Stay current with the latest advancements in machine learning, deep learning, and artificial intelligence.
  5. Collaborate Cross-Functionally: Work closely with data engineers to ensure seamless data pipeline integration for training and serving machine learning models.
  6. Monitor Model Performance: Monitor the performance of deployed models and implement continuous monitoring systems to track model drift, accuracy, and performance over time.
  7. Document Models: Write clear documentation for machine learning models and provide regular updates and reports to stakeholders.
Requirements:
  • 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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