Senior Advanced AI Model Developer

8 hours ago

Lahore, Punjab, Pakistan beBeeArtificialintelligenceengineer Full time 900,000 - 1,200,000
AI/ML Engineer

The ideal candidate will design, develop and deploy advanced AI/ML models for real-world applications.

You will be responsible for designing, building and optimizing AI/ML models while working closely with cross-functional teams to integrate them into production systems.

Key Responsibilities:
  • Design, develop and optimize machine learning models, including deep learning architectures, reinforcement learning and traditional ML techniques.
  • Work on projects involving image recognition, object detection, facial recognition, speech processing and NLP applications.
  • Implement AI-driven solutions for IoT applications, analyzing sensory data from connected devices.
  • Collect, clean and preprocess structured and unstructured data for ML model training and validation.
  • Deploy ML models into production using MLOps tools, ensuring scalability, efficiency and real-time performance.
  • Continuously monitor model performance, retrain and fine-tune models as needed.
  • Collaborate with software engineers, data scientists and domain experts to integrate AI/ML solutions into end-user applications.
  • Stay up-to-date with the latest AI/ML trends, technologies and research papers to enhance Fusion Cortex's AI capabilities.
  • Maintain thorough documentation of models, experiments and technical workflows.
Required Skills & Qualifications:
  • Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science or a related field.
  • Programming Languages: Strong proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, Scikit-Learn and OpenCV.
  • Machine Learning & Deep Learning: Expertise in ML algorithms, neural networks (CNNs, RNNs, Transformers) and optimization techniques.
  • Computer Vision & NLP: Hands-on experience with object detection, segmentation, OCR and NLP libraries (NLTK, SpaCy, Hugging Face).
  • Big Data & Databases: Familiarity with SQL, NoSQL and distributed computing tools (Apache Spark, Hadoop).
  • Cloud & DevOps: Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools like Docker, Kubernetes, MLflow.
  • IoT & Sensory Programming: Knowledge of AI applications in IoT, working with sensor data, edge AI and embedded AI solutions.

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