ML Ops Consultant developing AI-powered tools using Python and AWS. Joining a global team to automate tasks and improve decision-making in financial services.
Responsibilities
Develop and deploy machine learning models using Python (Pandas, Scikit-learn, TensorFlow)
Build data pipelines and automate workflows
Implement model monitoring, versioning, and CI/CD for ML
Work with AWS and cloud-based ML solutions
Analyze and visualize data for actionable insights
Collaborate with engineering teams to productionize models
Requirements
Strong experience in Python and relevant ML libraries, including Pandas, Scikit-learn, and TensorFlow.
Proven ability to develop, train, and deploy machine learning models.
Experience in building data pipelines and automating workflows.
Knowledge of model monitoring, versioning, and CI/CD practices for ML projects.
Familiarity with cloud-based ML solutions, preferably AWS.
Strong skills in data analysis and visualization to extract actionable insights.
Ability to collaborate with engineering teams to productionize ML models.
Excellent problem-solving skills and a results-oriented mindset.
Benefits
Competitive salary and benefits
Ambitious projects, trainings and tools you need to flourish.
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