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- Knowledge of deep learning as machine learning modeling is required. Must be familiar with concepts like Regression, Neural Networks, CNN (Convolution Neural Networks), GAN, GNN, Transformer, etc.
- Hands-on experience with technologies like Spark, Scala, and Python is preferred.
- Hands-on experience with PyTorch/TensorFlow, Data Structures, and Algorithm.
- Experience with deploying models on at least one cloud platform (GCP, Azure, or AWS).
- Familiarity with MLOps and the ability to think critically about the deployment of Machine Learning models.
- Experience in or a strong interest to learn relevant technologies and tools, such as MLFlow, Kubeflow, Seldon, Sagemaker, Databricks, etc.
- Familiarity with Agile concepts and methodologies.
- Quick learner with the ability to grasp new concepts quickly in a changing environment.
- Experience in the development of AI/Client-based solutions for use in the healthcare segment is preferred.
- Strong verbal and written communication skills
- Some experience understanding the AI/Client approaches
- Must understand the package management for various environments (Python, R, and Hadoop environments)
- Must have experience with administration of the Hadoop ecosystem specifically HDFS, Hive, and Spark
- Python, OpenCV, Keras/PyTorch/Tensorflow Deep Learning/Machine Learning, Computer Vision (Image Classification, Object Detection),
- E-Verified.
- Long Term Positions
- On-Job Technical Support.
AI & ML Performance Engineer - Miami, United States - SynergisticIT
Description
Synergistic IT is a full-service staffing and placement firm servicing clients in America for the past 12+ years. We are devoted to fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We accomplish just helping you secure a Tech Job, but we build your solid career in technology.
Job description
Skills Required:
Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.
Benefit's of working with our clients:
If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP. Thank you