Netcore Cloud - Senior Data Scientist - Machine Learning Model

Role Summary :

What You'll Do :

Model Development and Innovation :

- Stay on top of the latest research in AI/ML and evaluate new approaches (e.g., LLMs, generative AI) for practical application.

- Optimise model performance, scalability, and interpretability for production systems.

MLOps & Deployment :

- Leverage platforms such as AWS SageMaker or Google Vertex AI for training, tuning, and scaling models.

Data & Experimentation :

- Design and run experiments (A/B testing, uplift modeling, etc.) to validate hypotheses and improve product KPIs.

Technology and Tools :

- Leverage cloud platforms like AWS, GCP for model training and deployment.

- Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark for development.
With so much innovation happening around Gen AI and LLMs, we prefer folks who have already exposed themselves to this exciting opportunity via AWS Bedrock or Google Vertex.

Cross-functional Collaboration

Who You Are :

Education :

- Masters or PhD in Computer Science, Data Science, Mathematics, or a related field.

Experience :

- Proven expertise in machine learning, deep learning, NLP, and recommendation systems.

- Hands-on experience deploying ML models in production at scale.

- Experience in a product-focused or customer-facing domain such as Martech, Adtech, or B2B SaaS is a plus.

Technical Skills :

- Strong understanding of statistical methods, predictive modeling, and algorithm design.

- Familiarity with cloud-based solutions (AWS Sagemaker, GCP AI Platform, or similar).

Soft Skills :

- Excellent communication skills to articulate data-driven insights.

- A passion for innovation and staying up-to-date with the latest trends in AI/ML.