Machine Learning Engineer designing and implementing AI systems focused on Japanese language challenges at Woven by Toyota. Involves technical R&D, system design, and collaboration with cross - functional teams.
About the role
- AI/ML Engineer developing and deploying machine learning solutions for Nokia's network optimization projects. Collaborating with cross-functional teams to enhance network planning capabilities.
Responsibilities
- Develop, train, and optimize machine learning models using state-of-the-art algorithms and techniques.
- Process and analyze large datasets to extract meaningful features and insights.
- Build scalable ML pipelines and deploy models into production environments.
- Collaborate with data scientists, telco engineers, automation experts and product managers to understand business requirements and translate them into AI solutions.
- Monitor model performance and continuously improve accuracy, efficiency, and robustness.
- Stay updated on emerging AI/ML trends and tools to apply best practices.
- Document experiments, processes, and results clearly for knowledge sharing and reproducibility.
- Use traditional automation languages like python combined with ML models to create a final product beneficial for Network Planning and Optimization practices.
Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science or related fields.
- A minimum of 5-8 years work experience in software development/engineering projects, with minimum 2-3 years of AI/ML & Data Engineering experience.
- Strong programming skills in Python and familiarity with ML libraries.
- Experience with data manipulation and transformation
- Understanding of ML algorithms including supervised, unsupervised, and deep learning methods.
- Experience in interfacing python tools with relational databases – Atleast 1-2 of these (Clickhouse, Presto, MySQL, Oracle, SQL Server, Postgress)
- Solid foundation in statistics and data analysis.
- Knowledge of cloud platforms (AWS, GCP, Azure) and experience with containerization (Docker, Kubernetes) is a plus.
- Strong problem-solving skills and ability to work independently and collaboratively.
- Excellent Communication skills – English.
- Spanish and Portuguese is a plus - Optional.
- Good knowledge of 5G & LTE network architecture, and network optimization is a plus – **Optional**
Benefits
- Continuous learning opportunities
- Well-being programs to support you mentally and physically
- Opportunities to join and get supported by employee resource groups
- Mentoring programs
- Highly diverse teams with an inclusive culture
Job title
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