Chief AI Innovation Officer

3 days ago

Islamabad, Islamabad, Pakistan beBeeMachineLearning Full time $120,000 - $180,000
AI Engineer Position

Cloudelligent is looking for a skilled AI engineer to join our team. As an AI engineer, you will play a crucial role in driving the development of innovative artificial intelligence solutions.

This position emphasizes the implementation, optimization, and deployment of AI models while collaborating with cross-functional teams to enhance our products and services.

Key Responsibilities:
  • Implement and fine-tune pre-trained AI models tailored to meet specific industry needs.
  • Utilize cloud-based AI services, particularly AWS Bedrock, Amazon SageMaker, and OpenAI, to streamline development and deployment processes.
  • Leverage AWS data services, including Amazon Athena, Amazon Redshift, OpenSearch, Kendra, and AWS Glue, for efficient data processing and analysis.
  • Optimize AI models for performance, accuracy, and efficiency, ensuring they meet real-world requirements.
  • Apply techniques to reduce AI hallucination and enhance model reliability.
  • Utilize Retrieval-Augmented Generation (RAG) techniques to improve AI response quality.
  • Work with vector databases, specifically PostgreSQL with pgvector, for efficient similarity search and information retrieval in AI applications.
Requirements:
  • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field.
  • 4+ years of hands-on experience in AI/ML development.
  • Strong programming skills, particularly in Python, and familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
  • Experience with cloud-based AI services, especially AWS Bedrock, Amazon SageMaker, and Azure OpenAI.
  • Familiarity with AWS data services, including Amazon Athena, Amazon Redshift, and AWS Glue.
  • Knowledge of Agentic Behavior in AI, with experience in deploying models using CrewAI, LangGraph, and Langchain.
  • Familiarity with vector databases and similarity search techniques.
  • Solid understanding of various AI/ML algorithms and architectures, including but not limited to CNNs, RNNs, and transformers.
  • Experience in data preprocessing, feature engineering, and model evaluation.
Good to Have:
  • Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of big data technologies such as Apache Spark or Hadoop.
  • Familiarity with data visualization tools and techniques.
Highly Desirable:
  • Relevant certifications (e.g., AWS Certified Machine Learning – Specialty).

We are committed to providing opportunities for growth and professional development. If you're passionate about AI and want to be part of a dynamic team, we encourage you to apply for this exciting opportunity.

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