Job Description
Are you a seasoned Machine Learning professional with a passion for innovation and a proven track record of success? Rapid Labs is seeking a talented Senior Machine Learning Engineer to lead our AI initiatives and contribute to the development of cutting-edge solutions.
Position: Senior Machine Learning Engineer
Location: Islamabad, Pakistan
Type: Full-Time
Key Responsibilities:
Machine Learning Development:
- Design, implement, and deploy machine learning models that address business challenges and enhance solutions.
- Utilize a variety of machine learning frameworks and libraries to develop robust and scalable models.
Data Analysis and Preprocessing:
- Conduct in-depth data analysis to understand patterns, trends, and insights.
- Develop and implement data preprocessing pipelines to ensure high-quality data for model training.
Model Evaluation and Optimization:
- Evaluate model performance using appropriate metrics and iterate on models to optimize results.
- Implement strategies for continuous model improvement based on real-world feedback and evolving business needs.
Collaboration:
- Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to integrate machine learning solutions seamlessly.
Research and Innovation:
- Stay abreast of the latest advancements in machine learning and AI research.
- Contribute to the research and development of novel approaches and solutions.
Qualifications:
- Minimum of 3 years of hands-on experience in machine learning development.
- Strong proficiency in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Solid understanding of data analysis, statistical modeling, and feature engineering.
- Experience with deploying machine learning models in production environments.
Education:
- Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.
Benefits:
- Competitive salary and benefits package.
- Opportunity to lead and contribute to cutting-edge AI projects.
- Collaborative and dynamic work environment.
- Professional development opportunities.