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GyanSys Inc.
GyanSys Inc. cover picture
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Type
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About

Founded in 2005, GyanSys is a leading global system integrator company supporting enterprise customers worldwide. We specialize in solutions implementations, managed services, and data analytics spanning SAP, Salesforce, Microsoft, and other prime enterprise platforms. Using a mature blended delivery model with over 3,000 consultants, we support over 350 enterprise customers across the Americas, Europe, and APAC. GyanSys has extensive experience with SAP S/4HANA, IBP, EWM, Ariba, SuccessFactors, CX (formerly C/4HANA), and PLM solutions offering pooled hour, 24x7 global support services employing SAP AMS and PCoE certified delivery centers in North America, South America, India, and the Philippines. Gartner has recognized GyanSys as an S/4HANA reseller and services partner for North America in its "Competitive Landscape: SAP S/4HANA Service Providers" report. Core SAP expertise is augmented by our differentiated Salesforce services for the enterprise, leveraging significant experience in the Sales, Service, Community, Marketing, and Commerce clouds and their integration into complex multi-cloud environments. GyanSys is also a distinguished Microsoft Gold Partner, providing enterprise application development, Azure DevOps, cloud migration, cloud analytics, and Microsoft 365 services.
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Jobs at GyanSys Inc.

GyanSys Inc.
at GyanSys Inc.
Agency job
via TIGI HR Solution Pvt. Ltd. by Vaidehi Sarkar
icon

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Bengaluru (Bangalore)
4 - 8 yrs
₹14L - ₹15L / yr
skill iconMachine Learning (ML)
skill iconData Science
skill iconPython
PyTorch
TensorFlow
+5 more

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

Read more
GyanSys Inc.
at GyanSys Inc.
Agency job
via TIGI HR Solution Pvt. Ltd. by Vaidehi Sarkar
icon

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Bengaluru (Bangalore)
4 - 8 yrs
₹14L - ₹15L / yr
skill iconData Science
CI/CD
Natural Language Processing (NLP)
skill iconMachine Learning (ML)
TensorFlow
+5 more

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


Read more
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