If you have an exceptional academic record and/or a distinguished work or research experience in STEM, we would like to consider you for one of the country’s top upcoming Machine Learning & AI positions at Univ.AI’s consulting arm.
Selected candidates receive a job offer from Univ.AI or a partner company with compensation ranging from 15 to 35 lacs per year*
Candidates pursue our Master ML & AI program with professors from Harvard & UCLA on 100% scholarship
Upon successful completion, you are assigned to client projects in Articiaial Intelligence and Machine Learning.
Associate Manager, Standard Chartered Bank
Ekanki is an Associate Manager at Standard Chartered Modelling and Analytics Centre, Bangalore. She is an Experienced Quantitative Analyst and has made significant contributions in the financial services industry. She has previously been awarded the Analytics Excellence for her Model Developer in Risk Analytics role at Crisil.
Associate SAE, Extreme Networks
Ajinkya Dessai is an Associate Software Applications Engineer at Extreme Networks, a clound-driven networking solutions company with headquarters in California, USA. He is also currently a Deep Learning Researcher at the University of Michigan, School of Information and has worked on projects that involve Deep Learning models like Bi-LSTMs for an AI based smart listener, among several others.
Research Scholar, DTU
Aman Jolly is a Research Scholar working in Natural Language Processing. He has also founded Kryptotech, a bootstraped startup with the aim to develop websites using PHP. He has several projects, publications and certifications to his name, some of which are comparing SPARQL tools for logical inference in semantic web and consequences of COVID-19 pandemic on global maritime trade industry.
M.Tech., IIT Guwahati
Shivam Modi is a student of Indian Institute of Technology, Guwahati. He has worked on various projects including Image Creation using DC-GANs, Stock Market Sentiment Analysis using NLP and Flight Price Prediction using Random Forests among others. He has several achievements to his name, including an All India Rank of 47 in a Hackathon organized by Technice IIT’G on Kaggle.
M.Tech., IIT Hyderabad
Sharan Narasimhan is currently pursuing a Master’s degree in Computer Science and Engineering at IIT, Hyderabad. He has worked on an exceptionally long list of projects and publications, some of which focus on speech disorder-related tools and research. He is a Program Committee member for "Interpretability and Analysis of NLP models" track and has also secured Rank 1 in the Computer Science Department at IIT, Hyderabad.
B.Tech, IIT Dhanbad
Sagar Mishra is currently pursuing a Bachelor’s degree at IIT, Dhanbad. He excels at Data Science and has plenty of experience in the field. He has worked on projects, one of which is a Multilingual Companion, ‘IsItCorrect’, that provides feedback on inputted sentences, useful for intermediate language learners.
Incoming graduate B.Tech., KIET Group of Institutionsat Harvard University
Abhineet is a 4th year IT student pursuing B. Tech. from KIET Group of Institutions. He has worked on several projects including American sign language gesture analysis using TensorFlow and OpenCV, and COVID-19 pandemic dataset analysis. Some of his notable achievements include securing a position in the top 160 in a GHF Hackathon, and a dissertation presentation at the International Conference on Soft Computing and Mathematical Modeling.
Software Engineer, CleverTap
Pulkit Gupta is a Software Engineer at CleverTap. He has previously worked on several projects, including building a restaurant chatbot using RASA and also developed a speech grading application in Python. Pulkit holds a post graduate diploma in Machine Learning and AI from the International Institute of Information Technology, Bangalore.
B.Tech., PES University
Manikya is a student of PES University, Bangalore. He has organized several hackathons and also introduced over 200 students into Machine Learning at a university level. He has been the overall winner at the Unilever Europe and BFS Datathon 2020 and has many more accomplishments to his name.
Your application consisting of a detailed questionnaire, a short test, will be reviewed by our selection committee. You will be evaluated on multiple parameters that indicate potential and preparedness.
Selected candidates will be made job offers with compensations ranging from Rs. 15 to 35 lacs per year.
Once you are accepted as a DSLP fellow, we will enrol you for our 43-week part-time Master ML & AI program on a full scholarship. This means, you can continue in your current capacity as a student or working professional until you complete the fellowship. You will learn LIVE from Harvard and UCLA professors through a set of hands-on courses and train to be production ready.
You join Univ.AI’s marquee team of Data Science and AI consultants and immediately begin work on state-of-the-art machine learning projects world-wide. These projects span a diverse set of industries and applications.
Understanding contract ontology and structure to automatically classify and execute contracts, as well as to author new contracts.
Client is one of the world’s leading players in contract management.
Project involves using auto-encoders on patient data to characterise patients by disease and lifecycle.
Client is a health-care giant based in the eastern coast of the United States.
Using encoder-decoder models to learn water pressure and saturation fields in oilfields to determine exploration strategy.
Client is a US oil and gas major.
This program is designed for high-achievers with demonstrated potential. Applicants should have a superior track record as a student and if you have already graduated, then you have gone on to demonstrate high-competence and exceptional performance at your workplace.
Submit the application form
Complete the application test
Final decision and offer letter
If you are selected as a candidate under the Data Science Leaders Program, then you will be called a DSLP fellow. In order to maintain your fellowship status, you agree to meet the following academic standards.
If you fail to fulfil these conditions, you will be deemed to have a program incomplete and will not be elligible to start your job. Candidates with legitimate reasons for their inability to mantain program status will be considered on a case by case basis. You will not owe us any tuition fee unless you choose to drop out of the program.
If you wish to work with another employer post the program, you may do so by signing-up for our ISA with a deposit tuition option.
You will work for Univ.AI’s consulting arm as a Machine Learning or AI consultant. You will be assigned, from time to time, to selected client projects.
Your job begins after you successfully complete the 10-month Master ML & AI program, while maintaining a B+ or higher in aggregate for the program as a whole.
If you choose not to take the job after completing the program, you will lose your DSLP fellow status, and will be considered a regular candidate under the “ISA with a deposit” tuition plan. In this case, you will immediately owe an upfront deposit of ⅓ of the regular program fee (approximately INR 1,00,000). The balance will be payable as per the terms and conditions of ISA with a deposit tuition plan.
The minimum obligation to work with us, under the DSLP fellowship, is 18 months.
If you choose to leave the job after 18 months, your notice period will be 3 months.
If you choose to leave any time prior, you will lose your DSLP fellow status, and will be considered a regular candidate under the “ISA with a deposit” tuition plan. In this case, you will immediately owe us an upfront deposit of ⅓ of the regular program fee (approximately INR 1,00,000). The balance will be payable as per the terms and conditions of “ISA with a deposit” tuition plan.
You can discontinue participation in the DSLP fellowship. In this case, you will become a regular student enrolled with an ISA with a deposit tuition plan. You will be required to pay the upfront deposit of ⅓ of the regular program fee as per the terms and conditions of the “ISA with a deposit” tuition plan, followed by the defined ISA payment schedule.
Students who are not able to meet the required academic standards to maintain their program status throughout the duration of the fellowship, due to legitimate reasons, will be considered on a case by case basis.
The majority of our clients are overseas. It is likely, once travel conditions in the world become conducive, that your assignments will involve overseas work.
Depending on the selection of projects available, we may be able to accommodate your request to work in your area of interest.
It is our recommendation that you do not wait until you receive the results of your DSLP application, to submit a regular application. Seats are limited and may no longer be available. If you get accepted into both the programs, you will have the opportunity to make a choice.