Senior Machine Learning Engineer
Capgemini•Atlanta, GA
•Onsite
About The Position
As a Machine Learning Engineer, you will support the development and deployment of machine learning models that enhance Coca-Cola’s data-driven decision-making. You will work closely with senior engineers and data scientists to build, test, and maintain ML pipelines while gaining hands-on experience in production-grade AI systems. This role is ideal for candidates looking to grow their expertise in applied machine learning within a global enterprise setting.
Requirements
- 1–3 years of experience in machine learning, data science, or software engineering (including internships)
- Proficiency in Python and basic ML libraries (Scikit-learn, Pandas, NumPy)
- Foundational understanding of machine learning concepts (supervised/unsupervised learning, evaluation metrics)
- Basic familiarity with cloud platforms (AWS, Azure, or GCP)
- Understanding of data structures, algorithms, and software engineering fundamentals
- Experience with SQL and working with structured datasets
- Exposure to ML deployment concepts or MLOps tools
- Familiarity with version control systems (e.g., Git)
- Experience with notebooks and experimentation workflows (e.g., Jupyter)
- Interest in business applications of AI (e.g., marketing analytics, supply chain)
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
- Strong willingness to learn and grow in a fast-paced, client-facing environment
- Good communication and collaboration skills
Responsibilities
- Assist in building and maintaining ML pipelines and data workflows
- Support model development, testing, and validation efforts
- Help deploy models into production under guidance from senior team members
- Perform data preprocessing, feature engineering, and exploratory analysis
- Monitor model performance and contribute to debugging and optimization
- Document workflows, models, and technical processes
Benefits
- Vacation: 12-25 days, depending on grade
- Company paid holidays
- Personal Days
- Sick Leave
- Medical, dental, and vision coverage
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
