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OverviewSenior AI/ML Data Scientist responsible for designing, developing and deploying AI models and algorithms, collaborating with cross-functional teams, and ensuring models are explainable, compliant with data privacy and regulatory requirements.
ResponsibilitiesCollaborating 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
Conduct rigorous testing and validation of AI models to ensure robustness, reliability, and generalization
Stay 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
You'll be focused inCollaborating 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 needDegree 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 ProductOur 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.
Seniority levelMid-Senior level
Employment typeFull-time
Job functionEngineering and Information Technology
IndustriesIT Services and IT Consulting
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