?Machine Learning Engineer ?Overview Of 73 Strings ?73 Strings is an innovative platform providing comprehensive data extraction, monitoring, and valuation solutions for the private capital industry. The companys AI-powered platform streamlines middle-office processes for alternative investments, enabling seamless data structuring and standardization, monitoring, and fair value estimation at the click of a button. 73 Strings serves clients globally across various strategies, including Private Equity, Growth Equity, Venture Capital, Infrastructure and Private Credit. Our 2025 $55M Series B, the largest in the industry, was led by Goldman Sachs, with participation from Golub Capital and Hamilton Lane, with continued support from Blackstone, Fidelity International Strategic Ventures and Broadhaven Ventures. ?Role And Background ?As a Senior Machine Learning Engineer, you will lead the development of advanced models for document intelligence, focusing on information extraction, document understanding, and intelligent search capabilities. Your work will directly influence our ability to derive insights from unstructured data. ?Responsibilities ?Architect and implement machine learning models to automate structured and unstructured data extraction from financial documents (e. g. , contracts, balance sheets). ?Develop natural language processing (NLP) solutions to enhance qualitative document understanding and improve decision-making. ?Optimize algorithms for scalability and real-time performance across cloud-based platforms. ?Collaborate with cross-functional teams (finance experts, product managers) to align technical solutions with business objectives. ?Monitor deployed models to ensure accuracy, efficiency, and adaptability to changing market dynamics. ?Conduct experiments with state-of-the-art AI techniques to refine model performance and explore innovative applications. ?Core Competencies ? Programming & Development ? Python Mastery: Craft elegant, production-ready code that automates financial data processing. ? ML Framework Proficiency: Leverage PyTorch and TensorFlow to build sophisticated data extraction models. ? API Development: Design and implement robust APIs that integrate with financial platforms and data sources. ? Engineering Excellence: Apply Git version control and CI/CD practices to ensure code quality. ? Computer Vision ?Extract financial data from diverse document formats (PDF, Excel, PowerPoint) regardless of layout. ?Work with OCR systems that accurately capture financial figures and text ?Develop models that can extract tabular data from charts (bar, pie, etc. ) in financial presentations. ?Create table structure recognition systems that understand complex financial statement layouts. ?Design document classification systems for organizing diverse financial document types. ? Natural Language Processing ?Build generative AI systems for qualitative understanding of financial documents. ?Implement text classification and named entity recognition for financial metrics identification. ?Create systems that automatically detect dates, periods, currencies, and units in extracted data. ?Develop question-answering capabilities that enable chat interfaces with structured financial data. ?Build semantic search functionality for financial research and competitive intelligence. ? Data Engineering & MLOps ?Design database schemas that efficiently store structured financial data ?Architect pipelines that integrate data from diverse sources (documents, web scraping, third-party APIs) ?Deploy and monitor models in production environments for critical financial applications ?Leverage cloud platforms (AWS/Azure/GCP) for scalable financial data processing. ?Qualifications ?Masters degree in computer science, Data Science, or related field (or equivalent practical experience) ?Deep software engineering expertise including design patterns, code optimization, and testing best practices ?Python programming excellence with a focus on production-quality code ?Experience with Git-based workflows and collaborative development ?MLOps capabilities including CI/CD for ML models, workflow automation, and production monitoring ?Cloud platform experience (Azure, AWS, Google Cloud) and containerization expertise (Docker, Kubernetes) ?Data engineering proficiency with tools like Apache Spark, Airflow, or Databricks (preferred) ?Visualization skills using Streamlit, Tableau, or similar tools ?Knowledge of data privacy, model governance, and financial regulatory requirements ?Strong theoretical and practical understanding of Machine and Deep Learning principles ?NLP expertise covering text processing, tokenization, language models, and advanced techniques ?Computer Vision fundamentals for document image analysis and chart data extraction ?Hands-on experience with ML libraries: NumPy, PyTorch, HuggingFace, OpenCV, scikit-learn, spaCy, NLTK ?Experience with vector databases, good understanding of LLMs and Prompt Engineering, and knowledge of frameworks like LangChain ?API development using Flask, FastAPI, Django or similar frameworks ?Good communication skills for explaining complex concepts to diverse audiences ?Self-direction and organizational abilities to manage multiple concurrent projects ?Passion for continuous learning in the rapidly evolving ML/DL landscape ?Open-source contributions or maintenance experience (preferred) ?Department ?AI Technology ?Bangalore ?Remote status ?Hybrid ?About 73 Strings ? ? Founded in 2021 ? Co-workers 140 ? AI Technology Bangalore Hybrid ?Machine Learning Engineer ? ?Already working at 73 Strings? ?Let s recruit together and find your next colleague.

?Product Manager II ? OVERVIEW OF 73 STRINGS: ?73 Strings is an innovative platform providing comprehensive data extraction, monitoring, and valuation solutions for the private capital industry. The companys AI-powered platform streamlines middle-office processes for alternative investments, enabling seamless data structuring and standardization, monitoring, and fair value estimation at the click of a button. 73 Strings serves clients globally across various strategies, including Private Equity, Growth Equity, Venture Capital, Infrastructure and Private Credit. ?Our 2025 $55M Series B, the largest in the industry, was led by Goldman Sachs, with participation from Golub Capital and Hamilton Lane, with continued support from Blackstone, Fidelity International Strategic Ventures and Broadhaven Ventures. ? About The Role ?73 Strings is redefining alternative investments through its AI-augmented solutions. As a Product Manager - II for 73 Value, you will lead high-impact initiatives and will work closely with cross-functional teams to build scalable, data-driven solutions that empower global clients in private equity, venture capital, and corporate finance. ? Responsibilities : ?You will be working on high impact features that cut across multiple products. Stakeholder management and awareness about the platform are critical. ?You need to learn/understand the best practices in the PE/VC ecosystem and be aware of competition and build systems that are a cut above the rest. ?Stay on top of the customer s needs through qualitative and quantitative insights. ?Identify key opportunities using strong analytical and strategic thinking, market research and transform them into action. ?Define and execute delivery plans for cross-pod and client-side implementations and ensure clear communication with internal and external stakeholders. ?Manage product roadmaps, prioritize opportunities, and maintain existing features to drive business goals. ?Engage with clients on product deep dives and provide training to internal teams. ?Produce high-quality product requirements, in collaboration with your SME, design and engineering teams and execute using a lean, problem first approach ? Qualifications : ?You have at least 4 years of hands-on product development experience with a minimum of 1 year managing AI-powered or B2B products. ?Strong understanding of AI/ML technologies and their application in solving business problems. ?Exceptional problem-solving skills with a structured approach and a proven track record of successfully building products from scratch (0-1). ?Strong communication skills (written and verbal) to engage stakeholders effectively. ?Familiarity with PE/VC ecosystems or corporate finance; candidates with MBA (Finance), CFA certification, or valuation experience are preferred. ?Proficiency in SQL or Python is a plus. ?Department ?Product ?Bangalore ?Remote status ?Hybrid ?About 73 Strings ? ? Founded in 2021 ? Co-workers 140 ? Product Bangalore Hybrid ?Product Manager II ? ?Already working at 73 Strings? ?Let s recruit together and find your next colleague.

?Product Manager II ? OVERVIEW OF 73 STRINGS: ?73 Strings is an innovative platform providing comprehensive data extraction, monitoring, and valuation solutions for the private capital industry. The companys AI-powered platform streamlines middle-office processes for alternative investments, enabling seamless data structuring and standardization, monitoring, and fair value estimation at the click of a button. 73 Strings serves clients globally across various strategies, including Private Equity, Growth Equity, Venture Capital, Infrastructure and Private Credit. ?Our 2025 $55M Series B, the largest in the industry, was led by Goldman Sachs, with participation from Golub Capital and Hamilton Lane, with continued support from Blackstone, Fidelity International Strategic Ventures and Broadhaven Ventures. ? About The Role ?73 Strings is redefining alternative investments through its AI-augmented solutions. As a Product Manager - II for 73 Extract & Monitor, you will lead initiatives focused on optimizing data collection and monitoring processes for investors. This role involves managing scalable, data-driven solutions that leverage advanced technologies. You will work closely with cross-functional teams to ensure efficient handling of unstructured data and seamless integration into structured formats, empowering global clients in private equity, venture capital, and corporate finance. ? Responsibilities : ?Lead the development of features that enhance the efficiency of data collection and monitoring processes. ?Collaborate with engineering teams to integrate technologies like AI/NLP where they add value to data processing workflows. ?Stay updated on best practices for handling unstructured data and build systems that are scalable and innovative. ?Conduct market research to identify opportunities for improving the products ability to process large volumes of unstructured data efficiently. ?Define and execute delivery plans for cross-pod implementations while ensuring clear communication with stakeholders. ?Manage product roadmaps, prioritize opportunities, and maintain existing features to drive business goals. ?Engage directly with clients during product deep dives and provide training to internal teams on new features. ?Produce high-quality product requirements by collaborating with SMEs, design teams, and engineers using a lean problem-first approach. ? Qualifications: ?You have at least 4 years of hands-on product development experience with a minimum of 1 year managing AI-powered data-heavy platforms (B2B). ?Strong understanding of AI/ML technologies and their application in solving business problems. ?Exceptional problem-solving skills with a structured approach and a proven track record of successfully building products from scratch (0-1). ?Strong communication skills (written and verbal) to engage stakeholders effectively. ?Familiarity with PE/VC ecosystems or corporate finance; candidates with MBA (Finance), CFA certification, or experience in financial data analysis are preferred. ?Proficiency in SQL and Excel is required; familiarity with Python or other scripting languages is a plus. ?Department ?Product ?Bangalore ?Remote status ?Hybrid ?About 73 Strings ? ? Founded in 2021 ? Co-workers 140 ? Product Bangalore Hybrid ?Product Manager II ? ?Already working at 73 Strings? ?Let s recruit together and find your next colleague.

? OVERVIEW OF 73 STRINGS: ?73 Strings is an innovative platform providing comprehensive data extraction, monitoring, and valuation solutions for the private capital industry. The companys AI-powered platform streamlines middle-office processes for alternative investments, enabling seamless data structuring and standardization, monitoring, and fair value estimation at the click of a button. 73 Strings serves clients globally across various strategies, including Private Equity, Growth Equity, Venture Capital, Infrastructure and Private Credit. ?Our 2025 $55M Series B, the largest in the industry, was led by Goldman Sachs, with participation from Golub Capital and Hamilton Lane, with continued support from Blackstone, Fidelity International Strategic Ventures and Broadhaven Ventures. About The Role: We are seeking a highly skilled and motivated IT Analyst to join our team. The ideal candidate will have a strong background in IT support, troubleshooting, and customer service, with the ability to manage and resolve technical issues efficiently. Responsibilities: ? ?Technical Support: ?Provide first-level support for all company assets. ?Troubleshoot and resolve hardware and software problems. ?Install, configure, and maintain operating systems and applications. ?Assist with network connectivity issues and ensure stable internet access. IT Asset Management: ?Maintain an inventory of all IT assets, including virtual/cloud applications. ?Track and manage IT assets throughout their lifecycle, from procurement to disposal. ?Conduct regular audits and assessments to ensure optimal use of IT assets. ?Document and implement Mobile Application Management capability rollout. Customer Service: ?Respond to support tickets in a timely and professional manner. ?Communicate effectively with users to understand their technical issues and provide appropriate solutions. ?Train users on new hardware and software as needed. ? Who We re Looking For: You have strong troubleshooting skills and can resolve technical issues efficiently. ?You pay close attention to detail and ensure accuracy in your work. ?Strong communication and customer service skills. ?Ability to work effectively as an Individual Contributor and as a Team player. ?Department ?Technology ?Bangalore ?Remote status ?Hybrid ?About 73 Strings ? ? Founded in 2021 ? Co-workers 140 ? Technology Bangalore Hybrid ?IT Analyst ? ?Already working at 73 Strings? ?Let s recruit together and find your next colleague.