ML Developer
Experience: 4-4
Posted: 15 Jul,2021
Location: United Arab Emirates
ML Developer
Job Purpose
The ML Developer is part of an agile project team, working on the development, enhancement and
integration of Machine Learning (ML) applications in the corporate.
Core Responsibilities:
- Design and develop Machine Learning (ML) solutions that meet the requirements as specified by the business and in accordance with departmental standards and policies.
- Build machine learning / deep learning systems for various scenarios
- Find and implement the right algorithms and tools for each scenario
- Develop, maintain and enhance the ML solutions.
- Assist with deployment and provisioning activities.
- Work closely with other teams and build excellent working relations with internal customers.
- Design and utilize effective testing strategies to ensure that all solutions developed are fit for business use.
- Ensure that development work is fully documented to assist in future maintenance activities.
- Provide accurate estimates for required development work and take personal responsibility for delivering within these time scales.
- Assist business by providing ongoing support which will include being part of a 24/7 on-call rota if required.
Minimum Requirements
- College or University degree in Computer Science or a related discipline
- 4-5 years experience with software development, specifically around ML
Core Competency Requirements
- Proficient with developing, deploying, customizing, and integrating Natural Language Processing (NLP) solutions
- Excellent knowledge of supervised, unsupervised, and reinforcement learning
- Practical experience in building recommender systems and decision trees
- Excellent programming skills in Python and R
- Experience with deep learning frameworks Tensorflow, Keras, PyTorch etc.
- Excellent knowledge of scikit learn, NumPy, pandas, matplotlib, plotly etc.
- Experience in deploying machine learning models in production
- Possess outstanding skills in deep learning, machine learning, and text representation techniques
- Good understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling
- Excellent knowledge of machine learning algorithms and data mining techniques in one or more areas of text mining and information retrieval.
- Experience integrating cloud NLP solutions from AWS/Azure/GCP etc.
- Good knowledge of neural networks LSTM, RNN, CNN, etc.
- Identify and extract interesting patterns from structured and unstructured data
- Experience in building state of an art text mining pipelines to work with unstructured data.
- Knowledge of the most important libraries for NLP such as NLTK, Spacy etc.
- Excellent problem solving and communication skills
- Experience with source control management systems and continuous integration/deployment environments
- Internally motivated, able to work proficiently both independently and in a team environment
- Proven communication skills with both internal team members and external business stakeholders
- Strong initiative to find ways to improve solutions, systems, and processes
Preferred Competency Requirements
- Experience working with enterprise search engines such as Elastic Search
- Experience with No SQL databases
- Experience using Alteryx
- Experience working on an agile development team
Nature of Experience:
- Minimum 4-5 years experience in software development specifically in machine learning applications
- Experience in application development services across the entire software development lifecycle working in mission-critical environments.
- Experienced in Application Lifecycle Management techniques, practices, and principals
- Direct, hands-on experience with automated software and system management tools.
- Good knowledge of system and software quality assurance best practices and methodologies.
- Good experience with core software applications,
- Technically fluent in appropriate programming languages
- Some project management skills and/or exposure to project-based work structures, project lifecycle models, etc.
Required Skills
Skill
Years
Months
Keras
6
0
Python
7
7
Machine Learning
6
0
NLP
5
0
AWS Platform
6
0
SQL Database Testing
5
0
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