Principal Artificial Intelligence Developer

7 days ago

Karachi, Sindh, Pakistan beBee Careers Full time
Senior Machine Learning Engineer Job

Location: Karachi, Pakistan

We are seeking a highly skilled Senior Machine Learning Engineer to join our growing AI team. In this role, you will be responsible for designing, developing, and deploying machine learning models and algorithms to solve real-world business problems.

Key Responsibilities:
  • Model Development & Deployment: Lead the design, development, and deployment of machine learning models for various applications, including predictive modeling, recommendation systems, natural language processing (NLP), and computer vision. Utilize advanced machine learning algorithms (e.g., decision trees, SVM, ensemble methods, deep learning, reinforcement learning) to create scalable and efficient solutions.
  • Data Preprocessing & Feature Engineering: Oversee data collection, cleaning, preprocessing, and transformation to ensure data quality and consistency for machine learning models. Develop and implement effective feature engineering techniques to extract meaningful information from raw data.
  • Model Optimization & Performance Tuning: Continuously experiment with and optimize machine learning models to improve accuracy, performance, and efficiency. Conduct hyperparameter tuning, model validation, and cross-validation to ensure the robustness of the models.
  • 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. Conduct research on novel machine learning algorithms and evaluate their potential application to business challenges.
  • Collaborate Across Teams: Work closely with data engineers to ensure seamless data pipeline integration for training and serving machine learning models. Collaborate with product managers and business teams to understand use cases and tailor ML solutions to meet business needs.

Required Qualifications:
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.
Education: 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 Performance Metrics: In-depth understanding of model evaluation metrics, such as ROC/AUC, F1-score, Precision/Recall, confusion matrix, and cross-validation.

Benefits:
  • Competitive salary based on experience.
  • Health insurance and other benefits.
  • Opportunities for professional development, certifications, and attending AI/ML conferences.
  • Flexible working hours and a collaborative work environment.
  • The chance to work on impactful, cutting-edge machine learning projects.

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