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Principal AI Engineer (Indonesia)

Posted 4 days agoViewed

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💎 Seniority level: Principal, Proven experience

📍 Location: Indonesia

🔍 Industry: Financial Services

🏢 Company: Bjak👥 101-250Price ComparisonInsurTechInformation Technology

⏳ Experience: Proven experience

🪄 Skills: AWSDockerLeadershipPythonSQLApache AirflowArtificial IntelligenceData AnalysisKerasMachine LearningMLFlowNumpyPyTorchAlgorithmsData scienceREST APIPandasTensorflowCommunication SkillsAnalytical SkillsCI/CDProblem SolvingData visualizationTeam managementDebugging

Requirements:
  • Bachelor's, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Proven experience as an AI Engineer, Principal Engineer, or Data Scientist, with a track record of leading successful AI projects.
  • Proficiency in AI and ML frameworks and programming languages (e.g., Python, TensorFlow, PyTorch, Scikit-learn).
  • Strong expertise in data preprocessing, feature engineering, and model evaluation.
  • Experience in deploying and optimizing AI models in a production environment.
  • Excellent problem-solving, analytical thinking, and debugging skills.
  • Strong leadership, communication, and team management abilities.
  • Passion for staying at the forefront of AI and machine learning advancements.
Responsibilities:
  • Lead and mentor a team of AI engineers, providing technical guidance, coaching, and fostering their growth.
  • Collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines.
  • Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges.
  • Oversee the end-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.
  • Stay updated with the latest advancements in AI and machine learning, incorporating best practices into projects.
  • Drive data-driven decision-making through advanced analytics and visualization techniques.
  • Ensure the security, scalability, and efficiency of AI solutions.
  • Lead research efforts to explore and integrate cutting-edge AI techniques
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