Machine Learning Developer

2 days ago

Lahore, Punjab, Pakistan beBee Careers Full time
About the Role

We are looking for a talented individual to join our team in designing, developing, and deploying cutting-edge AI/ML solutions.

Key Responsibilities:

  1. Data Preparation: Work on transforming raw data into a usable format for machine learning modeling, ensuring high-quality data for optimal model performance.
  2. Model Optimization: Collaborate with senior engineers to optimize machine learning models for improved accuracy, efficiency, and scalability.
  3. Model Training: Participate in the training and fine-tuning of models to improve their performance and adapt them to real-world scenarios.
  4. Technique Development: Conduct research on new and emerging AI/ML techniques and contribute to proof-of-concept development, exploring innovative applications and solutions.
  5. Knowledge Sharing: Document model development, research, and performance metrics for future reference and learning, promoting knowledge sharing within the team.
  6. Collaboration: Collaborate with cross-functional teams to understand business problems and provide AI/ML-driven solutions that meet the company's needs.
  7. Pipeline Development: Assist in developing deployment pipelines for ML models, ensuring they are scalable, efficient, and well-integrated into the overall system.
  8. Application Development: Assist in the development and implementation of machine learning models for various business applications, focusing on practical and effective solutions.

Requirements:

  • Algorithms Understanding: Strong understanding of machine learning algorithms such as regression, classification, clustering, and deep learning techniques.
  • Programming Skills: Familiarity with Python and popular libraries like TensorFlow, Keras, PyTorch, or scikit-learn, with a focus on efficient and effective coding practices.
  • Data and Statistics: Basic knowledge of data preprocessing, data manipulation, feature engineering, statistics, probability distributions, hypothesis testing, linear algebra, and calculus for a deep understanding of ML models.
  • Database Knowledge: Knowledge of SQL for data querying and experience handling large datasets.
  • Version Control: Familiarity with version control using Git, ensuring smooth collaboration and code management.
  • Soft Skills: Strong problem-solving skills, excellent teamwork abilities, and a keen interest in developing AI-driven solutions that drive business results.

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