The ideal candidate will have extensive experience with machine learning models, data science tools, and AI-driven technologies. You will be responsible for designing, developing, and deploying machine learning solutions that solve complex business challenges.
Key Responsibilities:
- Design, develop, and deploy machine learning models using Python, R, or other relevant languages.
- Build and maintain data pipelines for large-scale datasets, ensuring accuracy and efficiency.
- Collaborate with cross-functional teams to identify and implement data-driven solutions to business problems.
- Perform exploratory data analysis (EDA), feature engineering, and model evaluation.
- Work with cloud platforms (AWS, Google Cloud, Azure) to implement machine learning models at scale.
- Develop and optimize algorithms to improve system performance and scalability.
- Stay current with the latest AI/ML research and tools to implement cutting-edge techniques.
- Mentor junior team members and provide guidance on best practices for AI/ML implementation.
Required Skills:
- Proven experience as a Data Scientist or AI/ML Engineer, with at least 5+ years of experience.
- Strong proficiency in Python, R, or similar programming languages.
- Expertise in machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
- Experience with cloud services like AWS, Google Cloud, or Azure for ML deployment.
- Solid understanding of data analysis, statistical modeling, and machine learning techniques.
- Strong knowledge of SQL, data wrangling, and working with large datasets.
- Ability to translate complex data insights into actionable business strategies.