Machine Learning Engineer

Our organization is seeking a dynamic, innovative, and experienced Machine Learning Engineer to join our tech startup. The chosen candidate will be a critical player in developing and implementing advanced algorithms, models, and methods that will enable our team to make data-driven decisions and drive our predictive intelligence capabilities. This role requires a deep understanding of machine learning techniques, an analytical mindset, and the ability to turn complex data into predictive insights for our company., 1. Develop, test, and implement predictive models using machine learning algorithms such as Bayesian, XGBoost, and Prophet.

1. Utilize tools such as Google Meridian, Agentic, and FastAPI for data processing and model implementation.
2. Conduct geo-experiments, holdouts, and backtesting to validate the performance and reliability of predictive models and machine learning solutions.
3. Work with large and complex data sets, solving difficult, non-routine analysis problems by applying advanced analytical methods.
4. Collaborate with cross-functional teams to understand business needs and identify opportunities for leveraging company data to drive business solutions.
5. Design and build data pipelines using SQL, Cloud Run, and Cloud SQL.
6. Build and maintain a robust data architecture that supports our machine learning efforts.
7. Keep abreast of the latest developments in the field and introduce new technologies and methodologies to the team.

1. Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Math, or related field.
2. Minimum of 3 years of experience in a similar role.
3. Proven experience in using predictive modeling, data processing, and data analysis techniques.
4. Proficiency in programming languages such as SQL and Python.
5. Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
6. Strong knowledge in Google Meridian, MMM, Agentic, XGBoost, Prophet, FastAPI, Postgres, geo-experiments, holdouts, backtesting, SQL, Cloud run, and Cloud SQL.
7. Excellent understanding of machine learning algorithms, processes, tools and platforms.
8. Strong problem-solving skills with an emphasis on product development.
9. Excellent written and verbal communication skills.
10. Strong project management and organizational skills.
11. Ability to work in a fast-paced environment with minimal supervision.
12. Passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.