Cynet Systems · 20 hours ago
Machine Learning Engineer/Software Developer
Cynet Systems is seeking a Machine Learning Engineer/Software Developer to design and develop machine learning systems and predictive models. The role involves running tests, optimizing models, and maintaining scalable data pipelines, while ensuring code quality and staying updated with industry developments.
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Responsibilities
Designing and developing machine learning systems and predictive models
Running machine learning tests and experiments
Implement appropriate ML algorithms
Study and transform data science prototypes
Select appropriate datasets and data representation methods
Perform statistical analysis and fine-tuning using test results
Build, deploy, and optimize machine learning models for predictive analytics, risk assessment, operational improvements and into production
Design, develop, and maintain scalable data pipelines, ETL processes, and data infrastructure, with a focus on Databricks for data processing and analytics
Drive code reviews to ensure code quality, maintainability, and adherence to coding standards
Extending existing ML libraries and frameworks
Parsing unstructured data into structural format
Keeping abreast of developments in the field
Qualification
Required
Proven experience as a Machine Learning Engineer or similar role with a minimum of 5 years of experience in machine learning
Proven minimum 5+ years of data mining
Minimum of 5+ years of experience in programming with Python
Extensive experience in parsing unstructured data into structural form
Understanding of data structures, data modeling and software architecture
Strong understanding of machine learning techniques and algorithms, data mining, and statistical analysis
Proficiency with SQL, TensorFlow, PyTorch, Pandas, Keras and related libraries
Experience with cloud platform: Azure and Databrick
Strong analytical, problem-solving, and communication skills
Ability to work as part of a team and independently
Outstanding analytical and problem-solving skills
BS in Computer Science, Mathematics, Statistics, or similar field; Master's degree is a plus