Search Jobs
Search by job, company or skills
Search by job, company or skills
1.Developing and implementing ML algorithms: The Machine Learning Engineer develops and implements machine learning algorithms to solve specific problems, such as natural language processing, computer vision, or predictive modeling
.2.Building data pipelines: The Machine Learning Engineer is responsible for building data pipelines that collect, store, and preprocess data used in machine learning algorithms.
3.Creating and maintaining ML infrastructure: The Machine Learning Engineer is responsible for creating and maintaining ML infrastructure, including hardware, software, and cloud platforms, that support the development and deployment of ML models.
4.Testing and validating ML models: The Machine Learning Engineer tests and validates ML models, ensuring that they are accurate, robust, and scalable
5.Troubleshooting ML systems: The Machine Learning Engineer troubleshoots ML systems, identifying and resolving issues related to performance, accuracy, and scalability
6.Deploying ML models: The Machine Learning Engineer deploys ML models in production environments, integrating them with other software systems and ensuring that they are reliable and scalable.
Job ID: 108885411
Skills:
Excel, Python, Deep Learning, ML Algorithms
Skills:
Pyspark, Logistic Regression, Machine Learning, Svm, Azure Databricks, Clustering, Random Forest, XGBoost, Python, Data Pipelines, scikit-learn, MLlib, h2o, GLM Regression, R, Data Analysis, Statistical Modeling
Skills:
Machine Learning, Tensorflow, Python, Forecasting, LLMs, Drift detection, Scikit-learn, Applied AI, Time-series modeling, Production ML systems, Generative AI systems, Feature engineering, anomaly detection, Embeddings, Agent-based architectures, Retraining, Pydantic, Deployment monitoring, Data pipelines, PTorch, ML frameworks
Skills:
Data Manipulation, Hadoop, Adf, Sql, Spark, Azure cloud services, Big Data, Python, Machine Learning Algorithms, Azure DevOps, data preprocessing, Agile framework, Feature Stores, CI CD pipelines, ML engineering, feature engineering, MLFlow
Skills:
Java, Tensorflow, Pytorch, Python, Springboot, Kusto, Google BigQuery, multi-agent orchestration, tree-based models, Statistical Techniques, anomaly detection, agent-to-agent communications, streaming ML, distributed infrastructure, autonomous decision-making workflows
We don’t charge any money for job offers
