Machine Learning Engineer developing and optimising ML models at Junglee Games. Working on data processing, model productionisation, and collaboration with engineering teams.
About the role
- Machine Learning Manager leading experienced team to drive data-driven AI/ML solutions at Ford. Overseeing strategies for product development focused on analytics in various domains.
Responsibilities
- Provide expert technical guidance and mentorship to data scientists & software engineers in the product team.
- Lead, mentor, and develop a high-performing team, fostering best practices in software development and data science.
- Contribute to the development and implementation of the team's innovation strategy, focusing on new product development and process improvement.
- Lead engagement with internal business partners to translate business requirements into data & analytical problem formulations.
- Clearly and concisely communicate technical information to both technical and non-technical audiences.
Requirements
- Master's degree (PhD preferred) in Engineering, Data Science, Computer Science, Statistics, Industrial Engineering, or a related field.
- 5+ years of hands-on experience applying supervised and unsupervised machine learning algorithms, deep learning architectures, and statistical modeling techniques (Automotive OEM experience preferred).
- 5+ years of leading a team of cross-functional technical experts.
- Proficiency in R and Python, along with experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn, XGBoost).
- Experience with cloud-based platforms (e.g., GCP) and data-related technologies (e.g., SQL, Spark, Hive).
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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