Gurugram, Haryana, India
None Not disclosed
On-site
Full Time
About Us At Digilytics, we build and deliver easy to use AI products to the secured lending and consumer industry sectors. In an ever-crowded world of clever technology solutions looking for a problem to solve, our solutions start with a keen understanding of what creates and what destroys value in our clients business. Founded by Arindom Basu, the leadership of Digilytics is deeply rooted in leveraging disruptive technology to drive profitable business growth. With over 50 years of combined experience in technology-enabled change, the Digilytics leadership is focused on building a values-first firm that will stand the test of time. We are currently focussed on developing a product, Digilytics RevEL, to revolutionise loan origination for secured lending covering mortgages, motor and business lending. The product leverages the latest AI techniques to process loan application and loan documents to deliver improved customer and colleague experience, while improving productivity and throughput and reducing processing costs. About The Role Digilytics is pioneering the development of intelligent mortgage solutions in International and Indian markets. We are looking for Data Scientist who has strong NLP and computer vision expertise. We are looking for experienced data scientists, who have the aspirations and appetite for working in a start-up environment, and with relevant industry experience to make a significant contribution to our DigilyticsTM platform and solutions. Primary focus would be to apply machine learning techniques for data extraction from documents from variety of formats including scans and handwritten documents. Responsibilities Develop a learning model for high accuracy extraction and validation of documents, e.g. in mortgage industry Work with state-of-the-art language modelling approaches such as transformer-based architectures while integrating capabilities across NLP, computer vision, and machine learning to build robust multi-modal AI solutions Understand the DigilyticsTM vision and help in creating and maintaining a development roadmap Interact with clients and other team members to understand client-specific requirements of the platform Contribute to platform development team and deliver platform releases in a timely manner Liaise with multiple stakeholders and coordinate with our onshore and offshore entities Evaluate and compile the required training datasets from internal and public sources and contribute to the data pre-processing phase. Expected And Desired Skills Either of the following Deep learning frameworks PyTorch (preferred) or Tensorflow Good understanding in designing, developing, and optimizing Large Language Models (LLMs), with hands-on experience in leveraging cutting-edge advancements in NLP and generative AI Skilled in customizing LLMs for domain-specific applications through advanced fine-tuning, prompt engineering, and optimization strategies such as LoRA, quantization, and distillation. Knowledge of model versioning, serving, and monitoring using tools like MLflow, FastAPI, Docker, vLLM. Python used for analytics applications including data pre-processing, EDA, statistical analysis, machine learning model performance evaluation and benchmarking Good scripting and programming skills to integrate with other external applications Good interpersonal skills and the ability to communicate and explain models Ability to work in unfamiliar business areas and to use your skills to create solutions Ability to both work in and lead a team and to deliver and accept peer review Flexible approach to working environment and hours Experience Between 4-6 years of relevant experience Hands-on experience with Python and/or R Machine Learning Deep Learning (desirable) End to End development of a Deep Learning based model covering model selection, data preparation, training, hyper-parameter optimization, evaluation, and performance reporting. Proven experience working in both smaller and larger organisations having multicultural exposure Domain and industry experience by serving customers in one or more of these industries - Financial Services, Professional Services, other Consumer Industries Education Background A Bachelors degree in the fields of study such as Computer Science, Mathematics, Statistics, and Data Science with strong programming content from a leading institute An advanced degree such as a Master's or PhD is an advantage (ref:hirist.tech)
Gurugram, Haryana, India
None Not disclosed
On-site
Full Time
About Us At Digilytics, we build and deliver easy to use AI products to the secured lending and consumer industry sectors. In an ever-crowded world of clever technology solutions looking for a problem to solve, our solutions start with a keen understanding of what creates and what destroys value in our clients business. Founded by Arindom Basu, the leadership of Digilytics is deeply rooted in leveraging disruptive technology to drive profitable business growth. With over 50 years of combined experience in technology-enabled change, the Digilytics leadership is focused on building a values-first firm that will stand the test of time. We are currently focussed on developing a product, RevEL, to revolutionise loan origination for mortgages and secured lending. We are also developing a second product, RevUP, focused on improving trade (secondary) sales to consumer industry clients like auto and FMCG players. About The Role The convergence of business know-how, data science and digital & analytics technologies to drive profitable growth : Business Understanding of what creates & what destroys business value Data Science to explore new ways to draw insights from internal & external data Digital & Analytics technology to make the solution easy to use, sustain & scale Digilytics is currently developing an AI-enabled product, RevEL, to improve credit lending operations. The product is currently targeted at lenders in the UK and US and will be extended to other markets in the future. We are looking for a data science and python engineering geek, who gets how to research and design AI models and develop & productionise them using python and python-based open source and open weighted models in a cloud technology environment. Candidate would have the aspirations and appetite in working in a growing company environment, and with relevant industry experience to make a significant contribution to our platform and products. Skills The role requires a broad range of skills, and we are currently looking for strong communicator with deep experience of data science techniques and python engineering. The role sits within the product engineering team and manages a team of data scientists and python developers to deliver world-class python-based : Understand the Digilytics vision and the latest developments in AI and work closely with the product engineering leader to architect and develop python-based applications Have hands on experience with Pytorch, Django/ Flask, API development Have experience with emerging techniques like Open Weighted LLM+RAG, Agentic AI MCP framework Responsible for the design, engineering and productionisation of all data science components of the Digilytics platform, and products like RevEL Lead a team of data scientists and python developers and create a high-performance global team across India, UK & US Liaise with multiple stakeholders and coordinate with our teams in UK, US and Skills : Ability to both work in and lead a team and to deliver and accept peer review Experience with GenAI techniques, ML, NLP & Computer Vision Strong Python programming skills and deep understanding of how to develop scalable python programs deployed in multi-node cloud environments Direct experience with deploying machine learning models into live operations through a technology platform Test performance of data driven product/models Good interpersonal skills and the ability to communicate ideas clearly at all levels Ability to work in unfamiliar business areas and to use your skills to create solutions Flexible approach to working environment and hours to meet the needs of the business and to haves : Knowledge of emerging techniques for Agentic AI Domain knowledge of Financial Services, especially lending Experience A strong mind set with proven experience working in both smaller and larger organizations having multicultural exposure Experience with managing teams of 10-15 resources 5-7 years of experience working closely with clients or technology products, and providing recommendations and solutions. Must know how to deploy models. Well-developed software skills relevant to data science domain Understanding of computational analysis, search and / or machine learning techniques Good Understanding of analytics tools and landscape Domain and industry experience by serving customers in Financial Services Proven experience of architecting machine learning pipeline to production Experience at various stages of Software-Development Background : A Bachelor degree, or higher, in Software Engineering and Computer Science with strong python programming content Formal training in related AI technology disciplines and financial services domain would be valued (ref:hirist.tech)
haryana
INR Not disclosed
On-site
Full Time
About Us At Digilytics, we specialize in building and delivering user-friendly AI products tailored to the secured lending and consumer industry sectors. Unlike many other tech solutions, our approach is grounded in a thorough understanding of our clients" business dynamics and the factors that drive or hinder their success. Founded by Arindom Basu, Digilytics is led by a team deeply committed to leveraging cutting-edge technology for sustainable business growth. With a collective experience of over 50 years in technology-driven transformations, our leadership prioritizes values and long-term success. Currently, our primary focus is on developing RevEL, a groundbreaking product aimed at revolutionizing loan origination processes for mortgages and secured lending. Additionally, we are working on RevUP, a product designed to enhance trade sales for consumer industry clients such as auto and FMCG companies. About The Role The role we are offering involves a unique blend of business acumen, data science expertise, and proficiency in digital and analytics technologies to drive profitable growth. Key responsibilities include: - Understanding the underlying factors that contribute to or detract from business value - Utilizing data science techniques to extract insights from both internal and external data sources - Implementing digital and analytics technologies to create scalable and user-friendly solutions Digilytics is currently in the process of developing an AI-enabled product, RevEL, with a focus on enhancing credit lending operations for lenders in the UK and US markets, with plans for expansion to other regions in the future. We are seeking a talented individual with a passion for data science and python engineering, who possesses the skills to research, design, and deploy AI models using python and cloud-based technologies. The ideal candidate should be enthusiastic about contributing to a growing company and have relevant industry experience to make a meaningful impact on our platform and products. Skills The role requires a diverse skill set, and we are specifically looking for a strong communicator with extensive experience in data science techniques and python engineering. As part of the product engineering team, the successful candidate will: - Embrace the Digilytics vision and stay updated on the latest advancements in AI - Collaborate with the product engineering leader to architect and develop python-based applications - Demonstrate proficiency with tools such as Pytorch, Django/Flask, and API development - Be familiar with innovative techniques like Open Weighted LLM+RAG and Agentic AI MCP framework - Lead a team of data scientists and python developers to drive excellence across our global operations in India, UK, and US - Engage with various stakeholders and coordinate with teams across different regions Experience We are looking for a candidate with the following qualifications and experience: - Demonstrated ability to work in diverse organizational settings, ranging from small setups to larger corporations with multicultural exposure - Experience in managing teams of 10-15 resources - 5-7 years of hands-on experience in client-facing roles or technology product environments, with a focus on deploying models - Proficiency in software skills relevant to data science - Understanding of computational analysis, search, and machine learning techniques - Familiarity with analytics tools and landscape - Domain expertise in serving customers within the Financial Services sector - Proven track record of architecting machine learning pipelines for production environments Background Candidates for this role should possess the following educational background and qualifications: - Bachelor's degree or higher in Software Engineering or Computer Science, with a strong emphasis on python programming - Formal training in AI technologies and financial services domain will be advantageous Please note: The job description mentioned above is referenced from hirist.tech,
Gurugram, Haryana, India
None Not disclosed
On-site
Full Time
About Us At Digilytics, we build and deliver easy to use AI products to the secured lending and consumer industry sectors. In an ever-crowded world of clever technology solutions looking for a problem to solve, our solutions start with a keen understanding of what creates and what destroys value in our clients business. Founded by Arindom Basu, the leadership of Digilytics is deeply rooted in leveraging disruptive technology to drive profitable business growth. With over 50 years of combined experience in technology-enabled change, the Digilytics leadership is focused on building a values-first firm that will stand the test of time. We are currently focussed on developing a product, Digilytics RevEL, to revolutionise loan origination for secured lending covering mortgages, motor and business lending. The product leverages the latest AI techniques to process loan application and loan documents to deliver improved customer and colleague experience, while improving productivity and throughput and reducing processing costs. About The Role Digilytics is pioneering the development of intelligent mortgage solutions in International and Indian markets. We are looking for Data Scientist who has strong NLP and computer vision expertise. We are looking for experienced data scientists, who have the aspirations and appetite for working in a start-up environment, and with relevant industry experience to make a significant contribution to our DigilyticsTM platform and solutions. Primary focus would be to apply machine learning techniques for data extraction from documents from variety of formats including scans and handwritten documents. Responsibilities Develop a learning model for high accuracy extraction and validation of documents, e.g. in mortgage industry Work with state-of-the-art language modelling approaches such as transformer-based architectures while integrating capabilities across NLP, computer vision, and machine learning to build robust multi-modal AI solutions Understand the DigilyticsTM vision and help in creating and maintaining a development roadmap Interact with clients and other team members to understand client-specific requirements of the platform Contribute to platform development team and deliver platform releases in a timely manner Liaise with multiple stakeholders and coordinate with our onshore and offshore entities Evaluate and compile the required training datasets from internal and public sources and contribute to the data pre-processing phase. Expected And Desired Skills Either of the following Deep learning frameworks PyTorch (preferred) or Tensorflow Good understanding in designing, developing, and optimizing Large Language Models (LLMs), with hands-on experience in leveraging cutting-edge advancements in NLP and generative AI Skilled in customizing LLMs for domain-specific applications through advanced fine-tuning, prompt engineering, and optimization strategies such as LoRA, quantization, and distillation. Knowledge of model versioning, serving, and monitoring using tools like MLflow, FastAPI, Docker, vLLM. Python used for analytics applications including data pre-processing, EDA, statistical analysis, machine learning model performance evaluation and benchmarking Good scripting and programming skills to integrate with other external applications Good interpersonal skills and the ability to communicate and explain models Ability to work in unfamiliar business areas and to use your skills to create solutions Ability to both work in and lead a team and to deliver and accept peer review Flexible approach to working environment and hours Experience Between 4-6 years of relevant experience Hands-on experience with Python and/or R Machine Learning Deep Learning (desirable) End to End development of a Deep Learning based model covering model selection, data preparation, training, hyper-parameter optimization, evaluation, and performance reporting. Proven experience working in both smaller and larger organisations having multicultural exposure Domain and industry experience by serving customers in one or more of these industries - Financial Services, Professional Services, other Consumer Industries Education Background A Bachelors degree in the fields of study such as Computer Science, Mathematics, Statistics, and Data Science with strong programming content from a leading institute An advanced degree such as a Master's or PhD is an advantage (ref:hirist.tech)
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