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Posted 9 hours ago
Roles & Responsibilities
Collaborate with data scientists to develop, train, and evaluate machine learning models.
Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency.
Develop and implement monitoring systems to track model performance and identify issues.
Conduct A/B testing and experimentation to optimize model performance.
Work closely with data scientists, engineers, and product teams to deliver ML solutions.
Stay updated with the latest trends and advancements.
Must-Have Skills
Solid foundation in machine learning algorithms and techniques
Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
Outstanding analytical and problem-solving skills; Ability to learn quickly; Good communication and interpersonal skills
Good-to-Have Skills
Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing
Experience with data engineering and pipeline development
Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
Knowledge of NLP techniques for text analysis and sentiment analysis
Experience in analyzing time-series data for forecasting and trend analysis
Basic Qualifications Doctorate degree OR Master's degree and 2 years of Computer Science experience OR Bachelor's degree and 4 years of Computer Science experience OR Associate's degree and 8 years of Computer Science experience OR High school diploma / GED and 10 years of Computer Science experience
Preferred Qualifications
Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus.
Soft Skills
Excellent analytical and troubleshooting skills.
Strong verbal and written communication skills
Ability to work effectively with global, virtual teams
High degree of initiative and self-motivation.
Ability to manage multiple priorities successfully.
Team-oriented, with a focus on achieving team goals.
Ability to learn quickly, be organized and detail oriented.
Strong presentation and public speaking skills.
Salary Range: 164,029.00 USD - 209,103.00 USD
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Sprachkenntnisse
- English
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