Offer summary

Qualifications:

1-2 years of relevant work experience in machine learning or data science., Proficiency in Python for data analysis and dashboard creation using libraries like Dash, Streamlit, Panel, and Bokeh., Experience with machine learning algorithms such as Random Forest, Gradient Boosting, and AutoML., Background in engineering or healthcare is advantageous..

Key responsabilities:

Develop and implement machine learning models to address complex business challenges.

Perform detailed data analysis and feature engineering to enhance model accuracy.

Communicate findings and recommendations to stakeholders clearly and concisely.

Collaborate with team members to integrate models into existing systems and create interactive dashboards.

Job description

ISTA Solutions, an outsourcing/offshoring company, is in search of an experienced Machine Learning Developer to join our rapidly expanding team. As a member of our team, you will have the opportunity to work with highly skilled professionals, who prioritize employee satisfaction and work-life balance. At ISTA Solutions, we pride ourselves on creating a culture focused on long-term success and life-long learning. We're looking for a team player who is ready to contribute to our mission, just like you!

Account specific roles & responsibilities

Develop and implement machine learning models to solve complex business problems from the ground up.
Use algorithms such as Random Forest, Gradient Boosting, and AutoML to enhance model performance.
Ensure models are scalable and maintainable.
Perform detailed data analysis to extract meaningful insights.
Conduct feature engineering to improve model accuracy.
Validate and clean data to ensure high-quality datasets for model training.
Communicate findings and recommendations to stakeholders in a clear and concise manner.
Collaborate with team members to integrate models into existing systems and workflows.
Create dashboards and visualizations using Python libraries such as Dash, Streamlit, Panel, and Bokeh.
Present data-driven insights through interactive and user-friendly dashboards.
Provide regular reports on model performance and business impact.
Apply machine learning techniques to healthcare-specific problems.

Requirements

1 - 2 years of relevant work experience
Background as an engineer or data scientist. Healthcare experience is advantageous.
Python skills for data analysis and building dashboards with libraries like Dash, Streamlit, Panel, Bokeh
Experience building machine learning, with proven strong results.

Random Forest, Gradient Boosting, AutoML
Performing well on Kaggle machine learning competitions (advantageous)
Able to discuss specific models built, methodologies used, and feature engineering approaches
Able to work from home – anywhere in the Philippines
Schedule of work: can be discussed with hiring manager

Benefits

What can we offer you?