Skills
Communication
Python
Bash
Perl
Matlab
SQL
NoSQL
Big Data
Data Mining
MongoDB
Cassandra
Quality Assurance
Training
Architecture
Data Architecture
Linux
Machine Learning
Scikit-Learn
Deep Learning
Programming
Databases
Azure
AWS
Software Development
Agile
Pandas
Analytics
Artificial Intelligence
Natural Language Processing
Microsoft Azure
NLP
Job Specifications
Job Description
Description of the Tasks
Development and maintenance of software applications in the field of Natural Language Processing (NLP), Machine Learning (ML) and/or Artificial Intelligence (AI)
Training of custom machine learning / deep learning models based on structured and unstructured data
Selecting features, building and optimizing classifiers using machine learning techniques
Studies and developments aiming at improving the quality of machine translation (MT) engines for each installed language pair, addressing the specific needs of customers of the service concerning MT quality and contributing to a general strategy for the systematic evaluation and long-term improvement of MT quality
Interact with data stewards and other IT stakeholders to define the data rules; Define data controls and implement actions to ensure data quality and integrity
Creating automated anomaly detection systems and constant tracking of its performance
Data mining using state-of-the-art methods
Processing, cleansing, and verifying the integrity of data used for analysis
Design the IT architecture for solutions in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts
Analyze data architecture for consistency, completeness, accuracy and reasonableness
Contributing for the analysis of data management vision, strategy and policy and derive the IT requirements
Contributing to the design of the IT architecture considering master- and meta-data management concepts
Provision of expert advice and assistance in any area associated with the Artificial Intelligence and Data Warehouse technologies
Perform design, development and maintenance of BI and reporting software that both follow the reference architecture rules and accurately implement the specifications received in the documents of analysis provided by the business analysts of the project
Assistance and support to the Advanced Analytics developers
Provision of technical studies, technical expertise, technical evaluations in relation with AI systems
Depending on the circumstances, the expert may be requested to provide assistance or support in the resolution of production issues
Job Requirements
Requirements:
Excellent knowledge of Perl, Python, Matlab, R and its NLP/ML libraries (SpaCy, NLTK, scikit-learn, pandas)
Excellent knowledge of machine learning techniques and algorithms
Excellent knowledge of Data Management
Good knowledge of AWS and/or Azure
Good knowledge of Linux
Good knowledge of Unix and Bash
Good knowledge of natural language processing systems lifecycle and agile software development methodologies
Good knowledge of quality assurance and quality control for machine translation (MT)
Knowledge of query languages, such as SQL, Hive, Pig, etc and with information extraction
Knowledge of NoSQL databases, such as MongoDB, Cassandra, HBase, etc
Knowledge of data visualisation tools, such as DJs3 GGplot, etc
Experience in the field of corpus based linguistics
Experience with alignment models and classification methods
Experience with data analytics over big datasets, non-structured databases as well as data lakes
Ability to participate in multilingual meetings
Ability to understand, speak and write English
Excellent interpersonal and communication skills
Ability to work in a team as well as autonomously
Results-oriented mindset, focused on delivering
Good applied statistics skills
Good scripting and programming skills
Data-driven mindset
Deep knowledge in Database Mining systems and in Big Data technologies
Deep knowledge in Artificial Intelligence
Working experience with Oracle RDBMS and PL-SQL
Capacity to write clear and structured technical documents
Certifications & Standards:
AWS Certified Machine Learning (Optional)
Microsoft Azure AI Engineer Associate (Optional)
SAS Certified Professional AI and Machine Learning Certification (Optional)
About the Company
Sword is a leader in data insights, digital transformation and technology services with a substantial reputation in complex IT, business projects and mission critical operations with over 3,000 Technology, Digital specialists working in more than 50 countries to enable the growth of your organisation in the digital age.
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