Machine Learning Engineer

جديد

business alliance - هندسة

Ramallah and Al-Bireh

Full Time

Bachelor's

Intermedtiate

+2years

Deadline: 2025-11-13

Job Description

Business Alliance HR is recruiting a Machine Learning Engineer (Mid-Senior Level) for a High Tech Company offering digital healthcare solutions, located in Ramallah, Palestine.

We are looking for a Machine Learning Developer who is passionate about healthcare and experienced in working with medical data. The ideal candidate has practical experience in building, fine-tuning, and deploying deep learning models for large-scale data. The role involves working with key healthcare stakeholders in the region, handling large-scale medical records and healthcare transactional data. It also includes research, data analysis, forecasting, and interpretation of results.

Responsibilities

Develop and maintain healthcare calculators and simulations using ML and data-driven techniques.

Perform data wrangling, preprocessing, and analysis on various healthcare datasets to ensure data quality and usability.

Design, implement, and evaluate machine learning and deep learning models for predictive analytics and decision support in healthcare.

Conduct train-test split and model training to optimize performance and generalizability.

Collaborate with healthcare stakeholders to gather requirements, design solutions, and implement AI and data-driven applications.

Ensure data management best practices, including data governance, data security, and data privacy, are followed.

Utilize SQL for data extraction, transformation, and loading (ETL) processes.

Continuously monitor and refine models and algorithms to improve accuracy and efficiency.

Stay current with the latest advancements in machine learning, and data science, and apply these advancements to healthcare applications.

Conduct research, data analysis, forecasting, and interpretation of results.

Deal with data preprocessing, including handling missing values, data cleaning, normalization, and transformation.

Implement strategies for data imputation and dealing with outliers.

Optimize data pipelines to ensure efficient data processing and storage.

Work with large-scale datasets, ensuring data integrity and consistency.

Requirements

Good theoretical understanding of machine learning & deep learning principles and various statistical techniques and evaluation techniques.

Knowledge of basic algorithms, object-oriented and functional design principles, and best practice patterns.

Experience in developing and fine-tuning machine learning models considering healthcare-specific problems.

Experience in benchmarking and model performance evaluation and improvement.

Familiarity with APIs and SDKs for real-time model deployment.

Experience in using frameworks such as MLflow, Kubeflow, Airflow, Seldon Core, TFServing.

Proven experience in using Python, Scikit-Learn, PyTorch, Polars, and Pandas.

Knowledge and experience in using SQL and performing queries in large-scale databases.

Basic knowledge in data visualization and results representation.

Experience working with developer tools such as PyCharm/MS Visual Studio, Docker, etc.

Experience in working and building models for time-series data.

Familiarity with REST API development, NoSQL design, RDBMS design and optimizations, and cloud environments.

Familiarity with working on remote and virtual machines.

Familiarity with distributed training and performance optimization on GPUs is a plus.

Minimum 2 years of experience in machine learning, including at least 1 year in developing deep learning models.

Bachelor’s degree in AI, Statistics, Math, Engineering, Computer Science, or a related field.

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Job Details

Location Ramallah and Al-Bireh

Address Ramallah

Job Type Full Time

Degree Bachelor's

Position Level Intermedtiate

Experience +2years

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