Role & responsibilities Operations Support - Timely scanning, uploading, and organizing files on the portal - Maintain error-free digital records - Coordinate documentation across teams and follow up on pending items - Assist with daily operational tasks and report progress weekly. Support - Follow up on sales leads and maintain a lead tracker - Coordinate and manage sales-related documents and contracts - Communicate with clients for required documentation - Provide field assistance to sales reps as needed Preferred candidate profile Immediate Joiner & Local Candidate Prefer
Role & responsibilities Must Have Knowledge about LCV , HCV , Commercial Vehicle Loan , Tractor Loan Etc. Collecting the needed financial documentation and assessing the clients' creditworthiness. Calculating and analyzing the risk ratios of clients based on their credit score and financial history. Setting up payment plans for clients explaining monthly installment amounts, interest rates, and other costs. Maintaining records of loan applications by using loan management software. Managing loan renewals by organizing follow-up. Ensuring that loan applications are in line with the company's financial policies, as well as state laws and regulations. Preferred candidate profile Local & Immediate Joiner Candidate preferred Perks and benefits
Role & responsibilities Requirements: Female candidates only Must be available to join immediately Good communication skills Interest in HR and people management Basic knowledge of MS Office Perks: Stipend Certificate on completion Real-time exposure to HR operations Preferred candidate profile Local & Immediate joiner preferred
Job Description: We are looking for an experienced AI Software Engineer to lead the development and integration of AI-driven solutions for our company. This role will involve designing scalable AI architectures, implementing algorithms, and ensuring robust deployment. Responsibilities: Design and develop scalable and explainable AI solutions, leveraging techniques such as deep learning, natural language processing (NLP), and reinforcement learning. Implement AI algorithms and models using frameworks like TensorFlow, PyTorch, or custom implementations in Python. Collaborate with data scientists and database engineers to integrate AI solutions with existing data infrastructure. Optimize AI models for performance, scalability, and real-time processing capabilities. Ensure compliance with data privacy, security regulations, and best practices in AI development. Requirements: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Solid programming skills in Python and proficiency in AI/ML libraries and frameworks. Experience in designing and deploying AI models in production environments. Understanding of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Strong problem-solving abilities and analytical thinking. Preferred Qualifications: Previous work in developing AI solutions for financial applications or risk management. Familiarity with distributed computing and parallel processing techniques for handling large-scale data..