AI/ML Engineer (Remote, Anywhere in Pakistan, AED Salary)
HR POD Careers
Date: 3 days ago
City: Lahore
Contract type: Full time
Requirements:
- Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or a related field.
- Proven experience of 5+ years in developing and deploying machine learning models in production settings.
- Strong programming skills in Python or R, with specific expertise in libraries such as TensorFlow, PyTorch, or Scikit-learn.
- Significant experience with data preprocessing and analysis using tools like Pandas and NumPy.
- Expertise in cloud computing services such as AWS, Azure, or Google Cloud Platform for deploying models.
- Familiarity with SQL and NoSQL databases for handling large datasets.
- Experience using modern development practices such as Git for version control and Jupyter Notebooks for literate programming.
- Familiarity with big data processing frameworks like Apache Spark or Hadoop.
- Excellent problem-solving abilities and attention to detail.
- Strong communication skills to effectively present technical concepts to non-technical stakeholders.
- Proficiency in deploying models in production environments and maintaining them.
- A proactive approach to learning and implementing new AI/ML technologies.
- Hands-on experience with MLOps frameworks and tools such as MLflow or Kubeflow.
- Understanding and practical experience with NLP, computer vision, or time-series forecasting.
- Familiarity with containerization technologies like Docker.
- Certification in AI/ML from a recognized institution.
- Develop, implement, and maintain scalable machine learning models to solve complex business problems.
- Collaborate with cross-functional teams to understand and solve real-world challenges.
- Analyze large and diverse datasets to derive actionable insights and improve model performance.
- Deploy machine learning models using industry-standard practices to production environments.
- Stay current with the latest advancements in AI/ML and incorporate modern techniques and tools into projects.
- Optimize algorithms for performance and scalability.
- Mentor and guide junior team members, fostering a culture of continuous learning and improvement.
- Create robust, reproducible prototypes that demonstrate a high potential to add value to the business.
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