About
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. Requirements:
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. bility 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.
Languages
- English
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