Job_17-04-25

Strong foundation in Machine Learning (ML) and Deep Learning (DL) techniques, including supervised, unsupervised, and reinforcement learning models.

• Experience with AI frameworks and libraries, such as: 
• TensorFlow, PyTorch, for deep learning 
• Transformers for NLP tasks 
• Proficiency in data preprocessing, feature engineering, dimensionality reduction, and time-series analysis. 
• Hands-on experience in developing and deploying models for: 
  • Anomaly detection 
  • Predictive analytics and forecasting
• Familiarity with scientific computing tools (NumPy, Pandas, Matplotlib, Seaborn) and data visualization platforms (e.g., Power BI, Tableau, Plotly).
• Knowledge of Big Data frameworks such as Apache Spark, Hadoop, or Flink is an advantage. 
• Demonstrated ability to work with large-scale datasets, including unstructured data from text, audio, or IoT sources. 
• Strong programming proficiency in Python (preferred) and/or R, with good coding practices and documentation skills. 
• Exposure to real-world applications such as fraud detection, cybersecurity, recommendation systems, or social network analysis.

• Doctorate (Ph.D.) in Computer Science and Engineering or a closely related field
OR 
• M.E./M.Tech. in Computer Science and Engineering, Information Technology, or equivalent discipline
with a minimum of three years of relevant experience in research and/or software development

• Working knowledge of accounts reconciliation, UC/SE preparation, and auditing in research projects. 
• Experience working in a university/research/technical institute or on government-funded projects. 
• Strong interpersonal and communication skills. 
• Computer Skills: 
  • Proficiency in MS Office (Word, Excel, PowerPoint). 
  • Ability to draft official letters, maintain office records, and handle emails professionally. 
  • Training/experience in Data Analysis and interpretation

1. Educational Background: Bachelor’s degree in Commerce, Business Administration, or a related field
   (e.g., B.Com, BBA, B.A. or equivalent) 
2. Experience: 
   • Minimum 1 years of experience in project accounting, fund management, file processing, and office administration. 
   • Familiarity with Tally, MS Excel, PFMS, GeM, E-Procurement, and similar systems is often preferred.

Computer Proficiency:
- Working knowledge of MS Office (Excel, Word).
- Ability to maintain physical and digital records. 

Desirable Skills:
- Familiarity with PFMS, GeM, or other government portals.
- Experience in academic/research institutions or handling government-funded project documentation.
- Good verbal and written communication skills.
- Ability to handle multiple tasks under supervision.

Educational Background: 

• Graduate in any discipline (preferably Commerce, Business Administration).
  OR 
• Diploma in Office Management/Finance/Accounts/Computer Applications. 

Experience: 

• 1 year of work experience in accounts support, file processing, purchase, or general office administration. 
• Experience with Tally or other accounting software is desirable.

Education: 

• ITI Electronics/Computers/Electrical (Diploma) + 2 year experience in operational work