Roles and Responsibilities3-5+ years of hands-on experience as a machine learning engineer or data scientist with at least 2 years focused on Natural Language ProcessingHands on experience working with large data sets including data cleansing/transformation, statistical analyses, and visualization.Working knowledge of a wide range of machine learning concepts including statistics, Bayesian probability, supervised and unsupervised learning, descriptive data analysis, and deep learning.Experience with NLP techniques such as entity extraction, dependency parsing, coreference resolution, topic modeling, language modeling, text classification, and transformer networks.Familiarity with open source python NLP and machine learning libraries such as NumPy, SpaCy, scikit-learn, Pandas, Keras, and Tensorflow.Work with the following technologies: GATE, Java, Python, Bash, SPARQL, GraphDB, GitLab, Maven, Jenkins, Linux, Docker.Strong ability to communicate concepts and analytical results with business, management, and the technical team, highlighting actionable insights.At least 1 year of experience designing and building data-intensive solutions using distributed computing.At least 1 year of Machine Learning experience with an industry recognized machine learning framework (e.g., scikit-learn, PyTorch, Dask, Spark, or TensorFlow). Handling large-scale data processing and machine learning workloads and distributed systems using cloud native services on one or more Cloud Platforms (GCP, Azure and/or AWS).Understanding of algorithms, data structures and coding standards
Salary: 10,00,000 - 18,00,000 P.A.
Industry:Analytics / KPO / Research
Functional AreaData Science & Analytics
Role CategoryData Science & Machine Learning
Employment Type:Full Time, Permanent
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