Machine Learning Solutions Architect
5 days ago
About Presight AI Ltd.
">At Presight AI Ltd., we believe that innovative technologies can drive meaningful change. Our team of experts leverages big data analytics and AI to create business value and positive societal impact.
We are seeking a highly skilled Senior Data Scientist to join our team. The ideal candidate will have a strong background in AI and data science, with a focus on Anti-Money Laundering (AML) and Financial Fraud detection.
The Senior Data Scientist will be responsible for developing and implementing advanced AI models and algorithms to detect, monitor, and investigate financial crimes.
Job Description:The Senior Data Scientist will design, develop, and deploy machine learning models and solutions on cloud platforms such as AWS, Azure, or Google Cloud.
They will lead end-to-end machine learning projects, from data collection and preprocessing to model training, evaluation, and deployment.
They will collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows.
They will continuously monitor and improve the performance of deployed models through rigorous testing and validation.
They will provide technical leadership and mentorship to junior data scientists and engineers.
They will stay up-to-date with the latest advancements in machine learning and cloud technologies and apply them to solve complex business problems.
They will comply with QHSE policies, procedures, plans, and related risk assessments.
Requirements:- Bachelor's Degree in Artificial Intelligence, Business Analytics, Data Science, Computer Science, Mathematics, Engineering, or a related field.
- Master/PhD in Computer Science/Machine Learning or a related field with more than 7 years of industry experience.
- Strong experience in machine learning and data science, with a focus on developing and deploying models on cloud platforms.
- Proficiency in programming languages such as Python, R, or Scala.
- Experience with cloud platforms such as Azure or Google Cloud, including services like AWS SageMaker, Azure ML, or Google AI Platform.
- Deep understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.
- Experience with big data technologies such as Spark, Hadoop, or similar.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
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