Synergy Interactive · 3 days ago
Computer Vision Engineer (Data Scientist)
Synergy Interactive is partnered with a consultancy seeking a Machine Learning Engineer focused on YOLO-based object detection and production deployment on GCP. The role involves fine-tuning models and optimizing them for edge deployment while requiring strong experience in computer-vision algorithms and proficiency in Docker and Kubernetes.
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Responsibilities
Strong experience in computer-vision algorithms—primarily YOLO-based models—for object detection tasks
The role involves fine-tuning and retraining off-the-shelf models, as well as applying techniques like quantization and distillation to optimize models for edge deployment
Candidates should be proficient in Docker for containerizing FastAPI-based web services and publishing results to message brokers
Familiarity with Kubernetes and Google Cloud Platform is essential for operating within our production architecture
Qualification
Required
Strong experience in computer-vision algorithms—primarily YOLO-based models—for object detection tasks
The role involves fine-tuning and retraining off-the-shelf models, as well as applying techniques like quantization and distillation to optimize models for edge deployment
Candidates should be proficient in Docker for containerizing FastAPI-based web services and publishing results to message brokers
Familiarity with Kubernetes and Google Cloud Platform is essential for operating within our production architecture
8+ years of experience in data science, big data engineering, or a similar field, with a strong understanding of analytics and machine learning
Proficiency with big data technologies such as Hadoop, Spark, Hive, and NoSQL databases (Cassandra, MongoDB, etc.)
Strong programming skills in Python, Scala, R, or Java, with experience in libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or similar
Expertise in statistical analysis, data mining, and predictive analytics techniques
Ability to work with large datasets, performing ETL tasks and optimizing data pipelines for speed and efficiency
Strong problem-solving and critical thinking skills with the ability to make data-driven decisions in complex business environments
Preferred
Experience in Python, Typescript, and scalable architectures
Experience working with cloud platforms like AWS, Azure, or Google Cloud for big data processing and analytics