Design & develop AI/ML solutions to be flexible, scalable & extensible.
Build solutions that incorporates cognitive techniques such as statistics, machine leaning, NLP, deep learning, transfer learning
Hands-on in python libraries like pandas, numpy, scikit-learn, scipy, nltk, tensorflow, keras, pytorch etc.
Excellent at feature engineering, Exploratory data analysis and data visualization
Keen to work on cloud-based ML solutions using AWS,GCP,Azure,IBM Watson etc.
Innovative, studies research papers and implement them. Curious to learn latest algorithms and concept and use them professionally
Develop areas of continuous and automated deployment
Introduce and follow good development practices, innovative frameworks and technology solutions that help business move faster
Be a Role Model to the team to collaborate on good object-oriented designs & domain modeling.
3-5 years of experience in data science, machine learning field
An advanced degree in engineering, computer science, statistics or related field is preferred
Expertise with data science and python, machine learning, NLP and deep learning is essential
Experience with back-end XML, relational databases (e.g. MS SQL, Postgres)
Experience developing and deploying solutions using services in the Amazon AWS ecosystem (Serverless Lambda, EC2, RDS)
Experience of publishing the research paper in renowned forums
Morningstar is an equal opportunity employer.I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal EntityMorningstars hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. Weve found that were at our best when were purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, youll have tools and resources to engage meaningfully with your global colleagues.