
AI Engineer
4 weeks ago
As an AI Engineer / Machine Learning Engineer / Cloud Data Scientist, you will play a crucial role in extracting valuable insights from large and complex datasets hosted on cloud platforms. Your responsibilities will include developing and deploying advanced machine learning models, collaborating with cross-functional teams to identify business challenges, and creating data-driven solutions to address them. You will work with cloud-based data storage and processing tools, applying your expertise in data preprocessing, feature engineering, and model training. Your work will contribute to optimizing decision-making processes, enhancing customer experiences, and driving innovation through the integration of data science techniques with cloud technologies.
KEY RESULT AREAS AND SPECIFIC RESPONSIBILITIES
- Solutioning and Design
- Analyze business requirements and design solutions utilizing data science techniques, AI algorithms, machine learning models, and cloud services to address pain points.
- Design optimal solutions and deployment strategies that maximize efficiency and minimize costs.
- Design AI algorithms and machine learning systems in areas such as Computer Vision, Natural Language Processing, Sound Processing, Anomaly Detection, and Forecasting.
- Technical Leadership
- Spearhead exploration of new technologies and promote their adoption within the team.
- Translate solution designs into detailed tasks for development teams, considering dependencies.
- Lead task estimation, considering potential risks.
- Review team outputs to ensure adherence to best practices.
- Assist team members in resolving technical issues with innovative solutions.
- Development of Data Science and AI/ML Solutions
- Develop AI algorithms and train machine learning models, including deep learning, for classification, regression, forecasting, and anomaly detection.
- Analyze datasets for advanced analytics and visualization.
- Perform exploratory data analysis to generate insights.
- Conduct data collection and manipulation.
- Evaluate model performance.
- Deploy models using cloud deployment technologies.
QUALIFICATIONS
- Minimum 4 years of experience in advanced analytics, AI, and ML solutions.
- At least 1 year of experience leading a team of data scientists or AI/ML engineers.
- Bachelor's degree in Math, Statistics, Physical Sciences, Engineering, or related fields.
- Proficiency in Python and AWS cloud services.
- Strong analytical and critical thinking skills.
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