Senior MLOps Engineer deploying ML - powered applications at Allica Bank. Building, prototyping, and ensuring the reliability of AI tools for SMEs.
About the role
- 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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