In this role, you will:

• Apply Computational Linguistics and Machine Learning to create systems that innovate healthcare products at scale
• Have access to domain experts for annotations to help drive investigation and learning
• Use advanced statistical methods to understand model results, and develop software to support these processes
• Create CL models to extract information from unstructured text
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Use your strong mathematical and statistics background to understand and create algorithms and methods
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

Skills and Requirements:

• Bachelor’s Degree in Computer Science, Machine Learning or other quantitative fields
• 3+ years of experience in developing and implementation of quantitative models
• Proficiency in Python and SQL
• Experience in one or more of the following languages: C++, Java, C#
• Working knowledge of Unix commands and good security practices
• Experience using Machine Learning frameworks such as TensorFlow, Keras, PyTorch, Scikit-learn
• Experience in developing and validating Computational Linguistics models
• Experience with spaCy is a huge plus
• Experience in constructing and executing queries to extract data for exploratory data analysis and model development
• Experience performing training/testing/validation dataset construction
• Experience with supervised and unsupervised Machine Learning techniques and methods
• Deep understanding of CL fundamental concepts and models, such as language modelling, word embeddings, topic modelling, text categorization, information extraction, natural language understanding, transfer learning
• Familiarity with knowledge representation, automated knowledge acquisition, and reasoning
• Deep understanding and experience in applying ML algorithms, such as Logistic Regression, Decision Trees, SVM, Naive Bayes, KNN, Random Forests, Dimensionality Reduction Algorithms, K-means clustering, etc.
• Understanding and experience with Deep Learning algorithms
• Experience with AWS
• Experience with Elasticsearch
• Experience with graph databases, ideally Neo4j
• Solid knowledge of Data Structures and Algorithms, including algorithm complexity
• Experience with visualization libraries such as Matplotlib, ggplot, etc.
• Problem-solving, debugging, troubleshooting, designing, and implementing solutions to complex technical issues
• Knowledge of advanced software engineering practices, including Agile techniques
• Proven record of writing robust, clean, and understandable code
• Ability to take ownership of a task and ensure its successful completion

“So what’s in it for me,” you ask?

We pride ourselves for being a culture-based company buzzing with high-energy. Aside from the enthusiastic environment, you’ll enjoy:

• Provident Fund
• Competitive salary

• Health insurance
• Referral bonuses
• Generous vacation time
• Paid Maternity and Paternity leave
• Work from home days
• Lunch facility within office
• Travel allowance
• Company equipment (laptop, internet device, screens etc.)
• Professional development and career growth opportunities
• Awesome team members

If we still have your attention, don’t delay, send us your resume!