AI/ML Engineer

15 hours ago

Lahore, Punjab, Pakistan HR POD Careers 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.

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.
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