AI/ML Data Scientist

You’ll be focused in

Collaborating with cross-functional teams to understand business requirements and translate them into AI/ML solutions

Designing, developing and deploying AI models and algorithms for tasks such as classification, regression, clustering, and recommendation

Preprocess and analyze large datasets to extract meaningful features and insights for model training

Experiment with different machine learning techniques and algorithms to improve model performance and accuracy

Implement and optimize AI/ML models for scalability, efficiency, and real-time inference

Conducting rigorous testing and validation of AI models to ensure robustness, reliability, and generalization

Staying updated on the latest advancements in AI/ML research, frameworks, and tools, and evaluate their applicability to our projects

Collaborate closely with data engineers, product owners, business stakeholders, and external partners.

Ensure models are explainable, auditable, and aligned with data privacy and regulatory requirements.

Mentor and support junior team members, fostering a culture of continuous learning and experimentation.

In order to succeed, you’ll need

Degree in computer science, software engineering, or comparable work experience

Proven experience working as a Data Scientist or related role

Hands-on experience in building and deploying AI models and generative AI models in production environments

Experience in programming languages commonly used in AI/ML development, such as Python

Strong experience in machine learning algorithms, techniques, and frameworks, such as TensorFlow, PyTorch, scikit-learn

Experience with cloud platforms (e.g., AWS, Azure, GCP) and related AI/ML services including generative AI technologies

Strong analytical mindset, structured problem-solving skills, and a product-thinking approach.

Great communication skills in English, both written and spoken

About the Product

Our Sales Spoke team is driven by a data-first culture, leveraging both advanced analytics and AI to empower our team and customers to create additional value. We enable our business units to explore their untapped data & analytics potential and provide our customers with value-adding advanced analytics solutions.