Gyansys Infotech

Role: 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

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

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.

Key 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

Role: 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