Overview
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, busin
Full job description
About The Role
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.
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