Distributed Cloud | AIMachine Learning Engineer

Lisbon - Portugal

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

We are seeking a versatile and passionate AI / Machine Learning Engineer to join our data science and engineering team. You will be instrumental in bridging the gap between data science research and production-ready applications building scalable machine learning systems that drive business value. This role requires a strong balance of software engineering principles and ML expertise.

Key Responsibilities

Design develop and implement end-to-end Machine Learning pipelines for training testing and deployment of predictive models.
Work closely with Data Scientists to translate prototypes and models into scalable production-grade code (MLOps).
Develop robust efficient and well-documented code primarily using Python and relevant ML frameworks (e.g. TensorFlow PyTorch scikit-learn).
Implement monitoring and alerting solutions for models in production to track performance detect drift and ensure reliability.
Collaborate with Data Engineers to ensure efficient data preparation feature engineering and access to necessary data infrastructure.
Stay current with the latest advancements in AI ML techniques and scalable infrastructure.

Qualifications :

3 years of professional experience in a Machine Learning Engineer AI Developer or similar role.
Strong expertise in Python and object-oriented programming with a focus on code quality and best practices.
Mandatory practical experience with major Machine Learning frameworks (e.g. TensorFlow PyTorch) and libraries (e.g. scikit-learn).
Solid understanding of MLOps principles and the tools required for model deployment versioning and lifecycle management (e.g. MLflow Kubeflow or similar).
Proficiency in SQL and experience working with large datasets and data warehousing concepts.
Excellent analytical and problem-solving skills with the ability to communicate complex technical concepts effectively.

Highly Valued Skills:

Experience working with Cloud platforms (AWS GCP or Azure) for model deployment compute and storage (e.g. SageMaker Vertex AI Azure ML Services).
Knowledge of containerization technologies (Docker Kubernetes) for building reproducible and scalable ML environments.
Familiarity with distributed computing frameworks (e.g. Spark).
Advanced degree (M.S. or Ph.D.) in Computer Science Engineering or a related quantitative field.

Very good level of English both spoken and written for effective communication with international teams;

Additional Information :

The Devoteam Group works for equal opportunities promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.

Remote Work :

Yes

Employment Type :

Full-time

We are seeking a versatile and passionate AI / Machine Learning Engineer to join our data science and engineering team. You will be instrumental in bridging the gap between data science research and production-ready applications building scalable machine learning systems that drive business value. T...

Key Responsibilities

Design develop and implement end-to-end Machine Learning pipelines for training testing and deployment of predictive models.
Work closely with Data Scientists to translate prototypes and models into scalable production-grade code (MLOps).
Develop robust efficient and well-documented code primarily using Python and relevant ML frameworks (e.g. TensorFlow PyTorch scikit-learn).
Implement monitoring and alerting solutions for models in production to track performance detect drift and ensure reliability.
Collaborate with Data Engineers to ensure efficient data preparation feature engineering and access to necessary data infrastructure.
Stay current with the latest advancements in AI ML techniques and scalable infrastructure.

Qualifications :

3 years of professional experience in a Machine Learning Engineer AI Developer or similar role.
Strong expertise in Python and object-oriented programming with a focus on code quality and best practices.
Mandatory practical experience with major Machine Learning frameworks (e.g. TensorFlow PyTorch) and libraries (e.g. scikit-learn).
Solid understanding of MLOps principles and the tools required for model deployment versioning and lifecycle management (e.g. MLflow Kubeflow or similar).
Proficiency in SQL and experience working with large datasets and data warehousing concepts.
Excellent analytical and problem-solving skills with the ability to communicate complex technical concepts effectively.

Highly Valued Skills:

Experience working with Cloud platforms (AWS GCP or Azure) for model deployment compute and storage (e.g. SageMaker Vertex AI Azure ML Services).
Knowledge of containerization technologies (Docker Kubernetes) for building reproducible and scalable ML environments.
Familiarity with distributed computing frameworks (e.g. Spark).
Advanced degree (M.S. or Ph.D.) in Computer Science Engineering or a related quantitative field.

Very good level of English both spoken and written for effective communication with international teams;

Additional Information :

Remote Work :

Yes

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

Apply Now

About Company

Devoteam

Devoteam is a AI-driven tech consulting firm specialised in cloud platforms, cyber, data, and sustainability. Tech native for almost 30 years, Devoteam guides businesses through sustainable digital transformation to deliver value. With over 11,000 tech architects in more than 25 co ... View more

View Profile View Profile

AI AutoApply

Apply to 100+ jobs with one click