Lead Machine Learning

JOB DESCRIPTION

Job title: Lead Machine Learning

Department: Student Services

Purpose

We are looking for a Machine Learning expert to lead our efforts in creating Artificial Intelligence (AI) and Natural Language Processing (NLP) based products.

Your responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you.

Your ultimate goal will be to shape and build efficient self-learning applications.

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
• Managing available resources such as hardware, data, and personnel so that deadlines are met
• Analysing the ML/NLP algorithms that could be used to solve a given problem and ranking them by their success probability
• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
• Supervising the data acquisition process if more data is needed
• Finding available datasets online that could be used for training
• Defining validation strategies
• Defining the pre-processing or feature engineering to be done on a given dataset
• Defining data augmentation pipelines
• Training models and tuning their hyper parameters
• Analysing the errors of the model and designing strategies to overcome them
• Deploying models to production

Skills and Qualifications

• 3+ years experience as an ML/NLP Engineer or similar role
• Proficiency in machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn or pandas)
• Expertise in visualizing and manipulating big datasets
• Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms
• Proficiency with OpenCV
• Ability to select hardware to run an ML model with the required latency
• Degree in Computer Science, Mathematics, Computational Linguistics or similar field

In 1981, Shri Vile Parle Kelavani Mandal (SVKM) established Narsee Monjee Institute of Management Studies (NMIMS) to meet the growing demand for management education. In 2003, NMIMS was declared a deemed to be university under Section 3 of the UGC Act 1956. The Vision of the University is to be a globally admired University by 2030. The Mission of NMIMS is to emerge as a Centre of Excellence, best in class in India and Asia and yearning to be the best in the world by 2030. 

With the legacy of 40 years, NMIMS has grown to being not only one of the top-10 B-schools in India but also emerged as a multi-disciplinary, multi-campus University at Mumbai, Navi Mumbai, Indore, Shirpur, Dhule, Bengaluru, Hyderabad and Chandigarh and seventeen constituent schools that include Management, Family Business, Engineering, Pharmacy, Architecture, Commerce, Economics, Law, Science, Liberal Arts, Design, Performing Arts, Mathematical Science, Agricultural Science, Hospitality Management, Branding & Advertising and Distance Learning. In addition, we have nine Centres of Excellence as well at the University.

The consistent academic quality, research focus, faculty from top national and global institutes and strong industry linkages at NMIMS have placed it amongst the nation's prime centres of educational excellence and research today. More than 17000 students and about 750 full-time faculty members, 10 faculty members with Fulbright Scholarship and Humboldt International Scholarship for post-doctoral researchers are part of India's most sought after academic community.