Machine Learning Engineer
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Job Location:
Monthly Salary:
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
- Ensuring the building training and deployment of machine learning models using AWS SageMakers managed infrastructure and automation capabilities to develop scalable and efficient ML solutions.
- Using Amazon Redshift and Amazon S3 for data storage processing and analysis required for ML model development and operations.
- Applying Apache Spark and Apache Airflow for largescale data processing and pipeline orchestration ensuring high performance and reliability.
- Managing and optimizing machine learning workloads within Amazon EMR environments while meeting performance and availability requirements.
- Leveraging Python and key data science libraries (e.g. NumPy Pandas Scikitlearn) for data manipulation preprocessing modeling and analysis.
- Collaborating with data engineering teams to ensure seamless and efficient integration of ML models into production environments.
- Implementing and adhering to best practices for model versioning monitoring and CI/CD processes to maintain ML models in optimal condition throughout their lifecycle.
Qualifications :
- Minimum 3 years of handson experience in designing developing and deploying machine learning models intended for production environments.
- Strong and proven experience working with AWS services including AWS SageMaker Amazon Redshift Amazon S3 Amazon EMR as well as other AWS tools relevant to data processing and ML solution development.
- Advanced proficiency in Python along with core data science libraries such as NumPy Pandas and Scikitlearn.
- Demonstrated expertise using Apache Airflow and Apache Spark for pipeline orchestration and largescale data processing.
Additional Information :
Benefits:
- Full access to foreign language learning platform
- Personalized access to tech learning platforms
- Tailored workshops and trainings to sustain your growth
- Medical subscription
- Meal tickets
- Monthly budget to allocate on flexible benefit platform
- Access to 7 Card services
- Wellbeing activities and gatherings
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
Inetum is a European leader in digital services. Inetums team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetums solutions aim at contributing to its clients performance and innovation as well ... View more
