Machine Learning Engineer - Data Pipelines, Analyst
MUFG is one of the world’s leading financial groups, committed to making a difference for every client, organization, and community. They are seeking an Entry-Level Machine Learning Engineer to assist in building, testing, and deploying machine learning models that enhance data-driven decision-making.
Responsibilities
- Assist in designing, training, and validating machine learning models using structured and unstructured data
- Collaborate with data scientists, analysts, and software engineers to develop production-ready ML solutions
- Preprocess and clean large datasets to prepare for modeling
- Conduct experiments, evaluate model performance, and tune hyperparameters
- Write reusable, well-documented code in Python (or similar languages)
- Contribute to model deployment pipelines and MLOps infrastructure
- Stay current with the latest research, tools, and trends in machine learning and AI
Skills
- Bachelor's degree in computer science, Data Science, Engineering, Mathematics, Statistics, or a related field
- Strong foundational knowledge of machine learning concepts and algorithms (e.g., regression, classification, clustering)
- Proficiency in Python and ML libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch
- Familiarity with data manipulation, feature engineering, and exploratory data analysis
- Understanding of model evaluation metrics and techniques
- Good communication and teamwork skills
- Internship or project experience involving machine learning or data science
- Familiarity with version control (e.g., Git), Jupyter notebooks, and cloud platforms (e.g., AWS, GCP, or Azure)
- Exposure to LLM and Agentic AI
- Exposure to SQL and basic database concepts
- Enthusiastic about learning and growing in the field of AI/ML
Benefits
- Comprehensive health and wellness benefits
- Retirement plans
- Educational assistance and training programs
- Income replacement for qualified employees with disabilities
- Paid maternity and parental bonding leave
- Paid vacation
- Sick days
- Holidays
Company Overview