Posted Nov 27, 2024 135 views
We are currently developing an AI-powered web-based platform for fleet management and are looking for an AI/ML Engineer to join our team. If you are passionate about machine learning, and data-driven solutions, and have experience in applying AI to real-world problems, wed love to hear from you!
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:
- Bachelor's 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.
Other Details:
Work Mode: Onsite - Full Time
Location: Lahore
Experience: 2-5 years
Days: Monday to Friday
Timing: 10am-7pm
Skills
Job Details
HR WAYS (PRIVATE) LIMITED
HR WAYS (PRIVATE) LIMITED
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