
Senior Machine Learning Specialist
1 week ago
Are you a skilled Machine Learning professional looking to advance your career? Do you have experience in designing, building, and deploying end-to-end ML models into production?
We are seeking a highly motivated and experienced Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for:
- Designing and developing innovative ML solutions using various frameworks and libraries.
- Collaborating with data scientists to optimize algorithms and feature engineering.
- Developing and maintaining data pipelines and ETL workflows for training and inference.
- Implementing scalable ML systems using cloud services (AWS, GCP, Azure).
- Optimizing models for performance, scalability, and latency.
- Monitoring, retraining, and maintaining ML models in production.
The ideal candidate will have:
- Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field.
- 5+ years of experience in ML engineering or applied ML roles.
- Strong proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, Keras).
- Experience with data manipulation & querying (Pandas, SQL, Spark).
- Strong knowledge of NLP, Computer Vision, or Deep Learning architectures.
- Hands-on experience with cloud ML services (AWS SageMaker, GCP Vertex AI, Azure ML).
As a Machine Learning Engineer, you will work closely with cross-functional teams to develop and deploy cutting-edge ML solutions. If you are passionate about Machine Learning and want to take your career to the next level, we encourage you to apply.
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