Key Responsibilities:

  • Design, develop, and deploy AI models for fleet management, including predictive analytics for vehicle maintenance, route optimization, and driver behavior analysis.
  • Collaborate with full-stack developers to integrate AI models into the web platform and ensure seamless deployment.
  • Work with real-time data streams from tracking devices to process, analyze, and build machine learning pipelines.
  • Implement algorithms for data processing, anomaly detection, and optimization tailored to the business needs of fleet management.
  • Pre-process and analyze large datasets to identify patterns and insights that can improve operational efficiency.
  • Build machine learning models using supervised and unsupervised learning techniques for key functionalities like predictive maintenance and driver behavior scoring.
  • Evaluate, fine-tune, and deploy models to ensure high performance and scalability.
  • Stay updated with the latest advancements in machine learning technologies and recommend improvements to current processes.

Qualifications:

  • Bachelors degree in Computer Science, Data Science, Engineering, or a related field.
  • Minimum 2 years of hands-on experience with machine learning and AI algorithms.
  • Strong programming skills in Python (libraries like TensorFlow, PyTorch, Scikit-learn, etc.).
  • Proficient in data manipulation and analysis tools (e.g., Pandas, NumPy).
  • Experience working with real-time data or time-series data is a plus.
  • Understanding of microservices architecture and APIs integration.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and experience deploying models in production environments.
  • Strong problem-solving skills and the ability to work both independently and in collaboration with other team members.

Preferred Skills:

  • Experience with containerization technologies like Docker.
  • Familiarity with Kubernetes for managing scalable AI applications.
  • Knowledge of data pipelines and data engineering concepts.
  • Experience in the fleet management or logistics industry is a plus.

Job Details

Functional Area:
Total Positions:
1 Post
Job Shift:
First Shift (Day)
Job Type:
Job Location:
Gender:
No Preference
Minimum Education:
Bachelors
Career Level:
Experienced Professional
Experience:
2 Years - 5 Years
Apply Before:
Nov 30, 2024
Posting Date:
Oct 29, 2024

HR WAYS (PRIVATE) LIMITED

Recruitment / Employment Firms · 1-10 employees - Lahore

HR WAYS (PRIVATE) LIMITED

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