Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Candidates must possess a Bachelor's degree in Data Science, Computer Science, Engineering, or a related quantitative field, along with over 5 years of experience in a data science, ML engineering, or analytics role. Strong programming skills in SQL, Python, and ML techniques are essential, as is experience with Azure Cloud, Databricks, and/or Snowflake. Prior experience building and deploying machine learning models in production environments is also required.
The Data Scientist will partner with business stakeholders to extract value from data, predict advisor behavior, identify growth opportunities, and automate workflows. Responsibilities include data wrangling, feature engineering, data exploration, building and tuning predictive models using scikit-learn, SparkML, XGBoost, or TensorFlow, and collaborating with cross-functional teams to integrate models into operational workflows. Additionally, the role involves deploying and managing models using MLflow, Docker, and CI/CD pipelines, implementing MLOps practices, supporting model training and deployment infrastructure, and delivering actionable insights through reporting and visualizations using tools like Power BI or Tableau.
Provides financial services and retirement solutions
Voya Financial offers a range of financial services, including retirement plans, investment management, and insurance products, to help individuals and businesses achieve financial wellness. Their services cater to individuals seeking retirement planning, employers looking to enhance employee benefits, and institutions needing tailored investment management. Voya stands out from competitors through its commitment to inclusiveness and corporate responsibility, which helps attract clients and talent. The company's goal is to build long-term relationships with clients, ensuring they achieve financial confidence and a fulfilling life.