Gyansys Infotech
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R Programming
PythonRole: Data Scientist (Python + R Expertise)
Exp: 8 -12 Years
CTC: up to 30 LPA
Required Skills & Qualifications:
- 8–12 years of hands-on experience as a Data Scientist or in a similar analytical role.
- Strong expertise in Python and R for data analysis, modeling, and visualization.
- Proficiency in machine learning frameworks (scikit-learn, TensorFlow, PyTorch, caret, etc.).
- Strong understanding of statistical modeling, hypothesis testing, regression, and classification techniques.
- Experience with SQL and working with large-scale structured and unstructured data.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and deployment practices (Docker, MLflow).
- Excellent analytical, problem-solving, and communication skills.
Preferred Skills:
- Experience with NLP, time series forecasting, or deep learning projects.
- Exposure to data visualization tools (Tableau, Power BI, or R Shiny).
- Experience working in product or data-driven organizations.
- Knowledge of MLOps and model lifecycle management is a plus.
If interested kindly share your updated resume on 82008 31681
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
CTC: up to 20 LPA
Required Skills:
- Strong experience in SAP EWM Technical Development.
- Proficiency in ABAP (Reports, Interfaces, Enhancements, Forms, BAPIs, BADIs).
- Hands-on experience with RF developments, PPF framework, and queue monitoring.
- Understanding of EWM master data, inbound/outbound processes, and warehouse tasks.
- Experience with SAP integration technologies (IDoc, ALE, Web Services).
- Good analytical, problem-solving, and communication skills.
Nice to Have:
- Exposure to S/4HANA EWM.
- Knowledge of Functional EWM processes.
- Experience in Agile / DevOps environments.
If interested kindly share your updated resume on 82008 31681
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Location: Bangalore
Experience: 5–8 Years
CTC: Up to 22 LPA
Required Skills:
- Strong expertise in Power BI (dashboarding, DAX, data modeling, report building).
- Basic to working knowledge of Tableau.
- Solid understanding of SQL and relational databases.
- Experience in connecting to various data sources (Excel, SQL Server, APIs, etc.).
- Strong analytical, problem-solving, and communication skills.
Nice to Have:
- Experience with cloud data platforms (Azure, AWS, GCP).
- Knowledge of data warehousing concepts and ETL processes.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Python
Flask
Django
React.jsKey Responsibilities:
· Develop responsive and dynamic web applications using React.js (components, hooks, state management).
· Build and maintain backend APIs and services using Python (Flask/Django/FastAPI).
· Integrate frontend and backend systems with RESTful APIs.
· Work with databases (PostgreSQL/MySQL/NoSQL) for data modeling and query optimization.
Required Skills:
· 3–5 years of experience in full-stack development.
· Proficiency in React.js (functional components, hooks, Redux/Context API).
· Strong backend development experience with Python (Flask/Django/FastAPI).
· Solid understanding of REST APIs, JSON, and web security principles.
· Hands-on experience with SQL/NoSQL databases.
· Familiarity with Git, CI/CD pipelines, and containerization (Docker).
· Strong problem-solving and communication skills.
Budget : 18 – 24 LPA
If interested kindly share your resume at 82008 31681
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Machine Learning (ML)
Deep LearningRole: Sr. Data Scientist
Exp: 4 -8 Years
CTC: up to 28 LPA
Technical Skills:
o Strong programming skills in Python, with hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras.
o Familiarity with Databricks notebooks, MLflow, and Delta Lake for scalable machine learning workflows.
o Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated deployment.
o Proficiency in data preprocessing, augmentation, and handling large-scale image/video datasets.
o Solid understanding of computer vision algorithms, including CNNs, transfer learning, and transformer-based vision models (e.g., ViT).
o Exposure to natural language processing (NLP) techniques is a plus.
Cloud & Infrastructure:
o Strong expertise in Azure cloud ecosystem,
o Experience working in UNIX/Linux environments and using command-line tools for automation and scripting.
If interested kindly share your updated resume at 82008 31681
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