Job Description:
Mandatory Skills:
5+ years of hands-on experience with Machine Learning, Deep learning & NLP using Python with strong knowledge of ML concepts(Supervised learning, Unsupervised learning, Regression, Classification, Clustering, Maximum Likelihood Estimation, Regularization etc)
Proficient in building ML models like Logistic Regression, SVMs, Random Forests, Gaussian Mixture Models & Deep Learning Models like CNN, LSTM and Sequence Models, Word Embeddings (Word2Vec or Glove, BERT etc)
Good knowledge of Deep Learning frameworks such as Tensorflow, Keras or PyTorch
Design experiments, test hypotheses, build actionable models & draw inferences
Strong problem-solving mindset, with eagerness to learn and the ability to tell a story using data
Hands on experience with Git & experience working in an Agile environment
Basic Qualifications:
Bachelor’s or Master’s degree in computer science, math, statistics or a related discipline. Advanced math skills(linear algebra, Bayesian statistics, graph theory) is a plus.
Good communication & Interpersonal skills to interact with customers and partner teams
Must be a quick learner & Self-starter who requires minimal supervision.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
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