

GyanSys Inc.
https://gyansys.comAbout
Jobs at GyanSys Inc.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Role: Sr. Data Scientist
Exp: 4-8 Years
CTC: up to 25 LPA
Technical Skills:
● Strong programming skills in Python, with hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras.
● Familiarity with Databricks notebooks, MLflow, and Delta Lake for scalable machine learning workflows.
● Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated deployment.
● Proficiency in data preprocessing, augmentation, and handling large-scale image/video datasets.
● Solid understanding of computer vision algorithms, including CNNs, transfer learning, and transformer-based vision models (e.g., ViT).
● Exposure to natural language processing (NLP) techniques is a plus.
• Educational Qualifications:
- B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, Electrical Engineering, or a related field.
- A master’s degree in computer science, Artificial Intelligence, or a specialization in Deep Learning or Computer Vision is highly preferred
If interested share your resume on 82008 31681
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Role: Sr. Data Scientist
Exp: 4-8 Years
CTC: up to 25 LPA
Technical Skills:
● Strong programming skills in Python, with hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras.
● Familiarity with Databricks notebooks, MLflow, and Delta Lake for scalable machine learning workflows.
● Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated deployment.
● Proficiency in data preprocessing, augmentation, and handling large-scale image/video datasets.
● Solid understanding of computer vision algorithms, including CNNs, transfer learning, and transformer-based vision models (e.g., ViT).
● Exposure to natural language processing (NLP) techniques is a plus.
• Educational Qualifications:
- B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, Electrical Engineering, or a related field.
- A master’s degree in computer science, Artificial Intelligence, or a specialization in Deep Learning or Computer Vision is highly preferred
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