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16 Harmony Data Integration Technologies Jobs
Senior Data Scientist
Harmony Data Integration Technologies
posted 8d ago
Flexible timing
Key skills for the job
We are seeking an experienced Data Scientist with a strong background in Machine Learning and AI technologies. The ideal candidate will play a pivotal role in designing, developing, and deploying ML models while collaborating with cross-functional teams to solve complex data problems and drive business insights.
Key Responsibilities:
-Design and implement end-to-end machine learning pipelines from data collection to deployment.
-Utilize Google Vertex AI for model development, training, testing, and deployment.
-Collaborate with the data engineering team to prepare datasets for analysis and training using tools like Roboflow for data annotation.
-Develop and fine-tune computer vision models using Ultralytics YOLO and OpenCV for video processing and object detection tasks.
-Apply frameworks such as TensorFlow and PyTorch for building and optimizing neural network architectures.
-Perform exploratory data analysis and leverage statistical techniques to derive actionable insights.
-Stay up-to-date with the latest advancements in machine learning and AI and apply them to projects as needed.
-Document and maintain codebases, ensuring they are scalable and optimized for performance.
Required Skills and Qualifications:
-Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
-5+ years of professional experience in data science and machine learning.
-Proficiency in Python and experience with libraries/frameworks such as TensorFlow, PyTorch, and OpenCV.
-Hands-on experience with Google Cloud services, particularly Vertex AI.
-Knowledge of data annotation platforms like Roboflow.
-Experience in computer vision, particularly using Ultralytics YOLO models for real-world applications.
-Strong analytical and problem-solving skills.
-Excellent communication and team collaboration abilities.
Preferred Skills:
-Experience in MLOps and model deployment best practices.
-Familiarity with big data technologies and distributed computing.
-Contributions to open-source projects or publications in relevant fields.
Employment Type: Full Time, Permanent
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