Job Description Develop and implement machine learning (ML) and deep learning (DL) models for real-world applications.Preprocess and analyze large datasets to extract meaningful features.Optimize AI models for performance, scalability, and deployment in production environments.Work with frameworks such as TensorFlow, PyTorch, Scikit-learn for ML/DL model development.Deploy AI models using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).Collaborate with data scientists, MLOps engineers, and software developers to integrate AI models into production.Implement hyperparameter tuning, model optimization, and automated retraining workflows.Develop computer vision, NLP, or predictive analytics solutions as per project requirements.Ensure AI model reliability, robustness, and ethical AI compliance. Education & Experience1. Experience: Skilled (2-3 year) 2. Qualification: B.Tech CSE *Is as plus: UG/PG course on or similar to: Machine Learning / Deep Learning / Artificial Intelligence Knowledge and SkillsKnowledge Excellent analytical and problem-solving skillsExcellent Programming skills with know-how of data structures and AlgorithmsStrong in Mathematical concepts like probability, Linear Algebra, P&C etc.Strong understanding of machine learning concepts, algorithms, and frameworksFamiliarity with deep learning architectures (CNN, RNN, RL etc.) and their applicationsKnowledge of data preprocessing, feature engineering, and model evaluation techniquesUnderstanding of model deployment processes and integration into production environments Skill: Proficiency in Python programming, including libraries like TensorFlow, Keras, PyTorch, and Scikit-learn.Strong understanding of data pre-processing, feature engineering, and model evaluation techniques.Experience in building and training machine learning/Deep Learning models.Familiarity with data manipulation libraries like Pandas, NumPy, and Matplotlib.Ability to optimize models for performance, scalability, and accuracy.Experience with version control systems like Git.Strong in Mathematical concepts like probability, Linear Algebra, P&C etcSolid debugging and problem-solving skills, with attention to detail.Good communication and teamwork skills to work effectively in cross-functional teams.

Work Description & Performance Plan Summary of Job Profile Accounting vouchers verifications & approvals in SAP system General Accounting & Book Keeping in SAP. Direct/ Indirect Taxation- TDS & GST compliances related to Vendor Expense booking. Audit support : Audit data preparation and documentation. Preferable having working knowledge of ERP (SAP)-->AP module Functional Areas Audit vouchers verification & approval--> Internal checking, verification of accounting vouchers along with supporting and approval Audit support (Tax, Internal & Statutory Audit) Expense booking--> vendor expense booking. Knowledge, Skill, Abilities(KRA's)required to successfully perform the job Knowledge : Good Knowledge of all tax compliances. Must have prior work experience of Accounts domain in verification of accounting vouchers Skill : Good in MS Office Good in ERP System- SAP Direct & Indirect Taxation Basic Knowledge Education, Experience, Licensure, Certification required for the position Experience: 3 to 6 years Qualification : B.com/ M.com MBA Finance CA drop out Competencies required to successfully perform the Job Technical Competencies: Accounting domain Non- Technical Competencies: Preferably lives in Gurgaon/Delhi NCR (Language Hindi & English ) and ready to work for extended hours Good soft skills. Good documentation and presentation skills.