AI/ML Leader

1 day ago

Karachi, Sindh, Pakistan beBeeEngineering Full time
AI/ML Engineer Leadership Role

We are seeking a talented and experienced AI/ML engineer to lead our AI team. As a senior member of the team, you will be responsible for designing, developing, and deploying machine learning models and algorithms to solve real-world business problems.

Key Responsibilities:
  1. Model Development & Deployment: Lead the design, development, and deployment of machine learning models for various applications, including predictive modeling, recommendation systems, NLP, and computer vision.
  2. Data Preprocessing & Feature Engineering: Oversee data collection, cleaning, preprocessing, and transformation to ensure data quality and consistency for machine learning models.
  3. Model Optimization & Performance Tuning: Continuously experiment with and optimize machine learning models to improve accuracy, performance, and efficiency.
  4. Machine Learning Algorithms & Research: Stay up-to-date with the latest advancements in machine learning, deep learning, and artificial intelligence, and incorporate new techniques into the development process.
  5. Cross-Functional Collaboration: Work closely with data engineers to ensure seamless data pipeline integration for training and serving machine learning models.
  6. Model Monitoring & Maintenance: Monitor the performance of deployed models and implement continuous monitoring systems to track model drift, accuracy, and performance over time.
Requirements
  • Experience: At least 4 years of professional experience in machine learning, data science, or AI engineering, with a focus on deploying and maintaining production-level models.
  • Educational Background: A Master's or Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
  • Technical Skills:
    • Programming Languages: Strong proficiency in Python, with experience in machine learning libraries such as Scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, etc.
    • Data Processing & Pipelines: Experience with data preprocessing techniques, feature engineering, and tools such as Pandas, NumPy, Dask, or Spark.
    • Machine Learning Algorithms: Expertise in a wide range of machine learning algorithms, including supervised learning, unsupervised learning, reinforcement learning, and deep learning (e.g., CNN, RNN, LSTM, GANs).
    • Model Deployment: Experience deploying models into production using Docker, Kubernetes, and cloud platforms like AWS, Google Cloud, or Azure.
    • Model Evaluation Metrics: In-depth understanding of model evaluation metrics, such as ROC/AUC, F1-score, Precision/Recall, confusion matrix, and cross-validation.
    • NLP & Computer Vision: Familiarity with NLP (e.g., transformers, BERT, GPT) and computer vision (e.g., OpenCV, YOLO, image classification).
    • Big Data Tools: Experience working with big data frameworks like Hadoop, Spark, and distributed computing systems.
    Preferred Qualities
    • Leadership: Ability to take the lead on complex machine learning projects and mentor junior team members.
    • Problem-Solving: Ability to approach complex business challenges and deliver innovative, data-driven solutions.
    • Communication: Strong ability to present complex machine learning concepts to both technical and non-technical stakeholders.
    • Collaboration: Strong team player who can work closely with data scientists, software engineers, and business teams.
    • Adaptability: Ability to adapt to new tools, algorithms, and technologies quickly.
    What We Offer
    • Competitive Compensation
    • Health Insurance
    • Professional Development Opportunities
    • Flexible Working Hours

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