Key Responsibilities: Develop, fine-tune, and deploy Large Language Models (LLMs) for various applications, including chatbots, virtual assistants, and enterprise AI solutions. Build and optimize conversational AI solutions with at least 1 year of experience in chatbot development. Implement and experiment with LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph . Design and develop ML/DL-based models to enhance natural language understanding capabilities. Work on retrieval-augmented generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) to enhance LLM-based applications. Optimize and fine-tune transformer-based models such as GPT, LLaMA, Falcon, Mistral, Claude, etc., for domain-specific tasks. Develop and implement prompt engineering techniques and fine-tuning strategies to improve LLM performance. Work on AI agents, multi-agent systems, and tool-use optimization for real-world business applications. Develop APIs and pipelines to integrate LLMs into enterprise applications. Research and stay up-to-date with the latest advancements in LLM architectures, frameworks, and AI trends . Requirements: 2-6 years of experience in Machine Learning (ML), Deep Learning (DL), and NLP-based model development. Hands-on experience in developing and deploying conversational AI/chatbots is Plus Strong proficiency in Python and experience with ML/DL frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers . Experience with LLM agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph . Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and embedding models . Understanding of Prompt Engineering and Fine-tuning LLMs . Familiarity with cloud services (AWS, GCP, Azure) for deploying LLMs at scale. Experience in working with APIs, Docker, FastAPI for model deployment. Strong analytical and problem-solving skills. Ability to work independently and collaboratively in a fast-paced environment. Good to Have: Experience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.) . Knowledge of Knowledge Graphs and Symbolic AI . Understanding of MLOps and LLMOps for deploying scalable AI solutions. Experience in automated evaluation of LLMs and bias mitigation techniques . Research experience or published work in LLMs, NLP, or Generative AI is a plus.
Network Management: Configure and maintain network infrastructure, including switches, firewalls, AD server and Access Points Monitor network performance and troubleshoot connectivity issues LAN and WAN. Implement and maintain virtual private networks (VPNs). Security Management: Implement security measures, such as firewalls, intrusion detection systems, and antivirus software. Conduct security audits and vulnerability assessments. Respond to security incidents and breaches. Data Backup and Recovery: Develop and implement data backup and disaster recovery plans. Regularly backup critical data and test recovery procedures. Email and Communication Systems: Manage email servers and services. Configure and troubleshoot email clients. Implement spam filtering and email security measures. Hardware Inventory and Procurement: Maintain an inventory of hardware assets. Procure new hardware and software as needed, considering budget constraints and technology requirements. Documentation: Maintain documentation of system configurations, procedures, and troubleshooting steps. Keep records of hardware and software licenses. Compliance and Policy Enforcement: Ensure IT systems comply with industry regulations and internal policies. Technical Support Respond to and resolve IT-related issues for call center staff. Provide first-level support for desktops, headsets, VoIP phones, and CRM systems. Escalate complex issues to senior IT staff. System Maintenance: Monitor and maintain computer systems and networks. Perform routine updates, patches, and backups. Ensure antivirus and security protocols are up to date. Installation & Configuration: Set up new workstations and configure hardware/software. Assist with onboarding of new employees by preparing IT equipment.
Key Responsibilities: Manage end-to-end recruitment processes for IT, Marketing, and Product roles . Understand job descriptions and requirements by closely coordinating with hiring managers. Source potential candidates through job portals, LinkedIn, social media, references, and networking . Screen resumes, conduct telephonic interviews, and evaluate candidates based on technical and behavioral fit. Schedule and coordinate interviews with stakeholders. Maintain and update recruitment trackers, reports, and candidate databases. Ensure a smooth and engaging candidate experience throughout the hiring process. Negotiate salary offers and finalize candidates in alignment with company policies. Support employer branding initiatives and participate in recruitment drives or events. Collaborate with the HR team on onboarding and other recruitment-related activities. Required Skills and Qualifications: Bachelors or Master’s degree in Human Resources, Business Administration , or a related field. 3–5 years of experience in end-to-end recruitment, specifically in IT, Marketing, and Product domains. Strong understanding of technical and non-technical roles. Excellent communication, interpersonal, and negotiation skills. Hands-on experience with job portals, and professional networking platforms . Ability to work in a fast-paced environment and meet deadlines.
Key Responsibilities: 1. Onboarding & Induction Manage end-to-end onboarding process for new hires, including documentation, background verification, and HR induction. Prepare and issue offer letters, appointment letters, and ID cards . Ensure a seamless joining experience and coordination with cross-functional teams (IT/Admin/Payroll). 2. HR Operations & Employee Lifecycle Management Maintain and update employee records, personal files, and HR databases. Handle day-to-day HR operational activities and ensure timely completion of tasks. Manage confirmation, transfers, promotions, and other employee movement letters. Monitor attendance, leave management, and coordinate with payroll for inputs. 3. Data Management & Compliance Maintain accurate HRIS/HRMS data and generate reports as required. Ensure all statutory and compliance requirements are met in a timely manner. Support in internal and external audits by providing required HR data and documents. 4. Employee Engagement & Grievance Handling Support employee engagement initiatives and coordinate HR activities and events. Address employee queries and ensure timely resolution with empathy and professionalism. 5. Exit & Full & Final Settlement Manage exit formalities including resignation acknowledgment, clearance forms, and exit interviews. Coordinate with payroll and finance for full and final settlements. Update attrition data and analyze exit trends. Required Skills and Qualifications: Bachelors or Master’s degree in Human Resources or Business Administration . 3–5 years of experience in Core HR Operations and Employee Lifecycle Management. Strong knowledge of HR processes, documentation, and compliance . Hands-on experience with HRMS/HRIS tools and MS Excel . Excellent communication, organizational, and interpersonal skills. High attention to detail and ability to handle confidential information with integrity
Key Responsibilities A. RBI & Regulatory Compliance Ensure compliance with RBI Master Directions applicable to NBFCs, FEMA, and other regulatory frameworks. Prepare and file statutory returns (DNBS-02, DNBS-04A/04B, DNBS-10, DNBS-13, FLA return, etc.) within timelines. Upload CKYCR data and credit information to CICs (CIBIL, etc.) as per regulatory norms. Monitor and implement circulars, guidelines, and amendments issued by RBI. Coordinate with RBI, auditors, and consultants during inspections and audits. B. Companies Act & Secretarial Functions Ensure compliance with Companies Act, 2013 and Secretarial Standards (SS-1 & SS-2). Organize and manage Board/Committee/General Meetings (drafting notices, agendas, minutes, and follow-ups). Maintain statutory registers, records, and ensure timely MCA filings (RoC forms, resolutions, etc.). Draft Board/Shareholder resolutions, support fundraising documentation, and due diligence exercises. C. Corporate Governance & Compliance Maintain registers of members, directors, charges, contracts, and disclosures. Manage related party transactions, approvals, and disclosures. Coordinate with statutory, secretarial, and internal auditors. Support in compliance audits and internal reviews of governance processes. Liaise with regulators, auditors, valuers, and legal advisors. D. Advisory & Stakeholder Management Provide secretarial and compliance support for new business initiatives, restructuring, or expansion. Assist in drafting/vetting agreements and policies relevant to NBFC operations. Handle investor relations, shareholder queries, and Board-level support. Stay updated on changes in corporate law, RBI guidelines, fintech regulations, and implement required actions. Desired Candidate Profile - Education: Qualified Company Secretary (CS) ICSI. - Experience: 2–5 years of post-qualification experience in NBFC / Fintech / BFSI sector. - Strong knowledge of Companies Act, RBI regulations, FEMA, and NBFC compliance. - Hands-on experience in regulatory filings, RBI returns, and MCA compliance. - Excellent drafting, governance, and stakeholder management skills. - High integrity, detail-oriented, and proactive in compliance management
Credit Appraisal & Underwriting Assess and approve/reject unsecured loan and small personal loan applications as per policy guidelines. Evaluate and approve/reject digital loan applications (personal loans, STPL, P-day Loans small business loans, etc.) as per credit policy Analyze applicants creditworthiness using financial data, income analysis, credit bureau reports, and risk indicators. Ensure balanced judgment between automation outputs and human intervention in borderline cases Recommend appropriate credit limits and structures based on risk assessment Maintain credit quality while meeting business volume and turnaround time (TAT) targets Ensure compliance with RBI and other regulatory guidelines related to digital lending. Risk & Portfolio Management Develop and update credit policies, risk frameworks, and approval matrices for digital lending. Collaborate with data science and product teams to refine credit scoring models and decision engines. Ensure credit decision parameters align with business strategy and regulatory requirements Track and analyze portfolio performance metrics such as delinquency rates, roll rates, and loss ratios. Identify early warning signals and implement corrective measures to control NPAs. Conduct periodic risk reviews and stress testing of the loan book Required Skills:- Deep understanding of digital credit models, alternative data, and AI-based scoring systems. Strong analytical and decision-making abilities with attention to detail. Familiarity with credit bureau systems (CIBIL, Experian, CRIF, etc.) and digital lending APIs. Excellent stakeholder management and communication skills. Working knowledge of RBI Digital Lending Guidelines and fair lending practice
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