AI / ML Engineering Lead

AI / ML Engineering Lead (314387)

Being able to engage with the client to understand their pain points and requirements.
Communicate solutions/propositions effectively back to client/team.
Collect and clean large datasets for machine learning projects.
Explore data to identify patterns, anomalies, and potential insights.
Pre-process data, including feature engineering and normalization.
Design, develop, and implement machine learning algorithms.
Experiment with various machine learning models and techniques.
Optimize algorithms for accuracy, efficiency, and scalability.
Train machine learning models using collected data.
Perform testing to validate models.
Evaluate model performance using appropriate metrics and techniques.
Fine-tune models to improve predictive accuracy.
Create informative data visualizations to communicate insights effectively

A bachelor Degree in Computer Science, Software Engineering or related major from a reputable university.
Minimum 10 years of experience in data engineering.
Technical Expertise: Mastery in AI and ML algorithms, frameworks (e.g., TensorFlow, PyTorch), and libraries.
Data proficiency: Proficient in data collection, pre-processing, and analysis.
Model Mastery: Proven experience in developing and fine-tuning machine learning models.
Domain Knowledge: Familiarity with deploying ML frameworks in industry
Familiarity with visualization libraries like Matplotlib, Seaborn, or data visualisation software’s like Tableau, PowerBI.