Senior Machine Learning Engineer (GCP Vertex AI)

Any - Romania

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

We are seeking an experienced Senior Machine Learning Engineer with a strong background in building deploying and maintaining end-to-end ML modelsparticularly on Google Cloud Platform (GCP) using Vertex AI and related services. Youll be part of a team that designs and implements scalable production-ready ML systems powering impactful business decisions.

Key Responsibilities

Design develop and deploy ML models using Python and frameworks such as Scikit-learn XGBoost/CatBoost Pandas NumPy TensorFlow and Keras.
Fetch clean and prepare data from BigQuery and other structured/unstructured data sources.
Build and maintain real-time and batch-based ML pipelines using Vertex AI Cloud Run and Vertex Pipelines.
Apply expertise in Regression Classification Forecasting Unsupervised Learning Graph Data GIS Data and Natural Language Processing (NLP).
Perform exploratory data analysis (EDA) feature engineering and statistical testing to evaluate model performance and significance.
Execute hyperparameter tuning and leverage tools for optimizing ML performance.
Ensure model robustness explainability and bias mitigation especially in regulated environments.
Develop and implement evaluation metrics to measure ML model effectiveness.
Stay up-to-date with emerging trends and best practices in AI ML and MLOps.

Qualifications :

Extensive hands-on experience designing building and deploying end-to-end machine learning models on Google Cloud Platform (GCP) using Vertex AI and related tools.
Strong programming skills in Python with proficiency in frameworks such as Scikit-learn XGBoost/CatBoost TensorFlow Keras Pandas and NumPy.
Solid understanding of core machine learning techniques including regression classification forecasting unsupervised learning graph data GIS data and natural language processing (NLP).
Proven experience deploying and maintaining ML models in production for both real-time and batch-based use cases.
Hands-on expertise in exploratory data analysis (EDA) feature engineering statistical testing and hyperparameter tuning.
Familiarity with MLOps best practices and cloud-native tools such as Vertex Pipelines Cloud Functions Cloud Run BigQuery AutoML DocAI Cloud Build and Artifact Registry.
Experience working in regulated industries such as banking financial services or insurance (BFSI) with an emphasis on model explainability bias mitigation and compliance.
Exposure to reinforcement learning with or without human feedback for continuous model optimization.
Passion for staying up-to-date with the latest trends and advancements in AI and machine learning.

Additional Information :

Good to Have

Certifications:
- Google Certified Professional Machine Learning Engineer
- Machine Learning / Data Science / Statistics coursework or certification
Knowledge of BFSI / NBFC ecosystems
Solid understanding of probability and statistical methods

Remote Work :

Yes

Employment Type :

Full-time

Key Responsibilities

Design develop and deploy ML models using Python and frameworks such as Scikit-learn XGBoost/CatBoost Pandas NumPy TensorFlow and Keras.
Fetch clean and prepare data from BigQuery and other structured/unstructured data sources.
Build and maintain real-time and batch-based ML pipelines using Vertex AI Cloud Run and Vertex Pipelines.
Apply expertise in Regression Classification Forecasting Unsupervised Learning Graph Data GIS Data and Natural Language Processing (NLP).
Perform exploratory data analysis (EDA) feature engineering and statistical testing to evaluate model performance and significance.
Execute hyperparameter tuning and leverage tools for optimizing ML performance.
Ensure model robustness explainability and bias mitigation especially in regulated environments.
Develop and implement evaluation metrics to measure ML model effectiveness.
Stay up-to-date with emerging trends and best practices in AI ML and MLOps.

Qualifications :

Extensive hands-on experience designing building and deploying end-to-end machine learning models on Google Cloud Platform (GCP) using Vertex AI and related tools.
Strong programming skills in Python with proficiency in frameworks such as Scikit-learn XGBoost/CatBoost TensorFlow Keras Pandas and NumPy.
Solid understanding of core machine learning techniques including regression classification forecasting unsupervised learning graph data GIS data and natural language processing (NLP).
Proven experience deploying and maintaining ML models in production for both real-time and batch-based use cases.
Hands-on expertise in exploratory data analysis (EDA) feature engineering statistical testing and hyperparameter tuning.
Familiarity with MLOps best practices and cloud-native tools such as Vertex Pipelines Cloud Functions Cloud Run BigQuery AutoML DocAI Cloud Build and Artifact Registry.
Experience working in regulated industries such as banking financial services or insurance (BFSI) with an emphasis on model explainability bias mitigation and compliance.
Exposure to reinforcement learning with or without human feedback for continuous model optimization.
Passion for staying up-to-date with the latest trends and advancements in AI and machine learning.

Additional Information :

Good to Have

Certifications:
- Google Certified Professional Machine Learning Engineer
- Machine Learning / Data Science / Statistics coursework or certification
Knowledge of BFSI / NBFC ecosystems
Solid understanding of probability and statistical methods

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

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Nagarro

Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and susta ... View more

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