Job Overview:

We are seeking a talented and enthusiastic Machine Learning Engineer to join our innovative team. The ideal candidate will have a strong background in machine learning, data science, and programming. As a Machine Learning Engineer, you will play a crucial role in designing, developing, and implementing machine learning models and algorithms to solve complex business problems.

Responsibilities:

• Problem Definition:
  Collaborate with stakeholders to understand business requirements and define machine learning problem statements.
• Data Exploration and Preprocessing:
  Analyse and preprocess raw data to prepare it for machine learning models. Handle missing data, outliers, and perform feature engineering.
• Design and develop machine learning models using appropriate algorithms and techniques. Implement and optimise models for scalability and performance.
• Training and Evaluation:
  Train machine learning models using labeled datasets. Evaluate model performance using appropriate metrics and fine-tune models for optimal results.
• Feature Selection and Engineering:
  Identify relevant features and perform feature selection. Engineer new features to enhance model accuracy.
• Hyperparameter Tuning:
  Optimize model hyperparameters for improved performance. Conduct experiments to find the optimal configuration.
• Deployment and Integration:
  Deploy machine learning models into production environments. Collaborate with software engineers for seamless integration into applications.
• Monitoring and Maintenance:
  Implement monitoring systems to track model performance in real-time. Perform regular model maintenance, updates, and retraining as needed.
• Documentation:
  Create comprehensive documentation for models, algorithms, and deployment processes. Ensure documentation is accessible to relevant stakeholders.
• Collaboration and Communication:
  Collaborate with cross-functional teams including data scientists, data engineers, and business analysts. Communicate complex technical concepts to non-technical stakeholders.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proven experience as a Machine Learning Engineer or similar role.
• Strong programming skills, preferably in languages such as Python or R.
• In-depth knowledge of machine learning frameworks and libraries.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with deployment tools and frameworks for machine learning models.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.

Additional Preferred Skills:

• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Knowledge of natural language processing (NLP) techniques.
• Understanding of cloud platforms (e.g., AWS, Azure, GCP).
• Background in statistical analysis and experimental design.