Vacancy expired!
Location: Remote Role 1 round of Technical Interview. Skills:
- 7+ years of hands-on experience as a machine learning engineer or data scientist with at least 3 years focused on Natural Language Processing
- Hands 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 Tensor flow.
- 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 (Google Cloud Platform, Azure and/or AWS).
- Understanding of algorithms, data structures and coding standards