Job Title: Chief Financial Officer Department: Finance Role description: We are entering a transformative stage in our growth journey and are seeking a dynamic Chief Financial Officer (CFO) to lead our financial strategy as we prepare for a successful Initial Public Offering (IPO). This is a high-impact executive role with visibility across the organisation and with external stakeholders. As CFO, you will serve as a strategic partner to the CEO and Board of Directors, providing leadership, direction, and management of the company’s finance and accounting teams. You will play a central role in guiding the company through its IPO readiness process and beyond, ensuring that financial operations, compliance, and reporting align with public company standards. Roles/Responsibilities: Strategic Financial Leadership Drive financial strategy, planning, and performance management in alignment with business goals. Partner with the executive team to develop long-term strategic plans and capital allocation strategies. Evaluate and refine the business model to maximise enterprise value and support IPO positioning. IPO Readiness and Execution Lead all financial aspects of the IPO process, including readiness assessments, financial reporting transformation, governance enhancements, and investor relations planning. Ensure compliance with SEC regulations and public company accounting standards (e.g., SOX, GAAP/IFRS). Partner with legal, banking, and advisory teams to prepare offering materials, financial disclosures, and investor communications. Financial Operations & Compliance Oversee all aspects of financial management including budgeting, forecasting, reporting, accounting, treasury, tax, and audit. Implement robust internal controls, risk management systems, and scalable financial processes. Lead, mentor, and grow a high-performing finance and accounting team. Stakeholder Communication Serve as the financial spokesperson to investors, analysts, and stakeholders. Prepare and deliver regular reports and presentations to the Board of Directors. Build relationships with investment banks, auditors, legal counsellors, and other external advisors. Desired Skills: - Proven experience as CFO or senior finance executive in a high-growth company, ideally with experience leading a company through an IPO. Strong understanding of capital markets, IPO regulations, and investor expectations. Deep expertise in financial modelling, strategic planning, and operational finance. Excellent leadership, communication, and stakeholder management skills. Bachelor’s degree in finance, Accounting, or a related field; MBA, CPA, or CFA preferred. Why Join Us? High-impact role with direct influence on strategic decision-making. Collaborative, innovative, and mission-driven culture. Show more Show less
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 . Required Skills & Qualifications: 2-5 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.
Role description: We are looking for a qualified and detail-oriented Chartered Accountant (CA) with 2–4 years of relevant experience, preferably from the NBFC sector. The role involves managing financial reporting, audits, taxation, compliance, and supporting budgeting and financial planning functions. The ideal candidate will be well-versed with IND AS, RBI guidelines, and overall financial operations within the NBFC framework. Roles/Responsibilities: Financial Reporting & Compliance Prepare and review financial statements in accordance with IND AS and RBI regulations Ensure timely compliance with all statutory filings (TDS, GST, income tax, etc.) Support RBI reporting and inspections Audit & Taxation Manage statutory, internal, and tax audits and coordinate with external auditors Prepare and file income tax returns and assist in tax assessments Operational Finance Monitor daily cash flow, fund utilization, and reconciliation of accounts Manage ledger activities and ensure accurate book-keeping Assist in monthly MIS, budgeting, and forecasting activities Process & Control Implement and strengthen internal financial controls and SOPs Ensure accuracy, transparency, and accountability in all financial practices Stakeholder Collaboration Liaise with banks, financial institutions, auditors, and consultants Work closely with cross-functional teams for financial inputs and support Desired Skills: - · Sound knowledge of NBFC operations, IND AS, and statutory compliance · Hands-on experience in financial reporting, taxation, and audits · Proficient in MS Excel, Tally, and accounting/ERP software · Strong analytical, problem-solving, and communication skills · Ability to work under tight timelines and in a fast-paced environment Qualifications:- · Chartered Accountant (CA) – Mandatory · 2–4 years of post-qualification experience in the NBFC/financial services domain
Job Description We're hiring a Product Manager - Enterprise AI to lead this transformation. You'll define and deliver AI tools that power voice intelligence, agent copilots, decision support systems, and risk engines-supercharging our teams and setting a new benchmark in fintech productivity. Key Responsibilities Define the product vision and roadmap for our internal GenAI suite : voice copilots, risk intelligence agents, ops automation tools, and regulatory AI assistants and much more. Lead cross-functional teams and functions to ship AI-powered workflows that reduce TAT, boost productivity, and increase accuracy. Leverage real-time data-call logs, loan journeys, customer chats, and repayment events-to build context-aware GenAI experiences. Own build vs. buy decisions using vendors like OpenAI, Whisper, AssemblyAI, LangChain, etc. Work hands-on with LLMs, embeddings, RAG pipelines, vector databases, and prompt tuning. Design with explainability, fallback logic, and hallucination control as defaults. Define and monitor success metrics (e.g. adoption, efficiency gains, time saved); iterate quickly based on feedback. Ensure full alignment with regulatory body, and internal compliance when deploying GenAI systems in critical workflows. Maintain cyber security standards part of product development ie products should be built with security in mind and not as afterthought. Build GTM strategies Requirements 4+ years of product management experience, with 1+ year in GenAI/ML/NLP-focused roles Fintech background-preferably in lending, collections, KYC, or regulatory operations Strong grasp of GenAI architecture-prompt engineering, retrieval-augmented generation (RAG), embedding models Technical education background (CS, Engineering, Data Science, or Applied Math) Worked directly with data scientists, backend engineers, and legal/compliance teams Analytical mindset-comfortable defining product KPIs and tracking outcomes Excellent communication and stakeholder management skills (ref:hirist.tech)
As a Product Manager - Enterprise AI, you will play a crucial role in leading the transformation by defining and delivering AI tools that enhance voice intelligence, agent copilots, decision support systems, and risk engines. Your focus will be on supercharging our teams and establishing a new benchmark in fintech productivity. Your responsibilities will include defining the product vision and roadmap for our internal GenAI suite, which comprises voice copilots, risk intelligence agents, ops automation tools, regulatory AI assistants, and more. You will lead cross-functional teams to develop AI-powered workflows that reduce turnaround time, increase productivity, and enhance accuracy. Additionally, you will be responsible for making build vs. buy decisions utilizing vendors like OpenAI, Whisper, AssemblyAI, LangChain, among others. In this role, you will work hands-on with various AI technologies such as LLMs, embeddings, RAG pipelines, vector databases, and prompt tuning. It will be essential to design with explainability, fallback logic, and hallucination control as defaults. Monitoring success metrics like adoption rates, efficiency gains, and time saved will be crucial, and you will iterate quickly based on feedback to drive continuous improvement. Ensuring full alignment with regulatory bodies and internal compliance when deploying GenAI systems in critical workflows will be a key aspect of your role. You will also be responsible for maintaining cybersecurity standards as an integral part of product development, ensuring that products are built with security in mind from the outset. To be successful in this role, you should have at least 4+ years of product management experience, with at least 1 year in GenAI/ML/NLP-focused roles. A background in fintech, particularly in lending, collections, KYC, or regulatory operations, will be advantageous. A strong understanding of GenAI architecture, technical education background (in CS, Engineering, Data Science, or Applied Math), and experience working with data scientists, backend engineers, and legal/compliance teams are essential. An analytical mindset, the ability to define product KPIs, track outcomes, and excellent communication and stakeholder management skills are also crucial for excelling in this role.,
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 . Required Skills & Qualification 1-4 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. (ref:hirist.tech)