AI/ML Engineer (Remote, Anywhere in Pakistan, AED Salary)

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.

Responsibilities:

• 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.