GyanSys Inc.

https://gyansys.com

Founded

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.

Jobs at GyanSys Inc.

Sr. Data Scientist

at GyanSys Inc.

Agency job

via TIGI HR Solution Pvt. Ltd. by Vaidehi Sarkar

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

Machine Learning (ML)

Data Science

Python

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

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

Sr. Data Scientist

at GyanSys Inc.

Agency job

via TIGI HR Solution Pvt. Ltd. by Vaidehi Sarkar

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

Data Science

CI/CD

Natural Language Processing (NLP)

Machine 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

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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