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
Machine Learning Engineer working on next - generation agentic AI platform at Salesforce. Collaborate with teams to innovate and design impactful AI systems for customers.
Data Analyst internship focusing on resource price forecasts with AI and machine learning methodologies at Fraunhofer Institute in Nürnberg. Collaborating on data analytics projects and applying modern techniques for predictive modeling.
Graduate Analyst in Data & Machine Learning Operations for Volkswagen Financial Services, focusing on machine learning, data integration, and business intelligence projects.
Senior ML Engineer responsible for designing scalable AI/ML infrastructure at General Motors. Collaborating with teams on advanced AI solutions for intelligent driving technologies.
Scientific AI & ML Engineer designing and deploying innovative AI - driven solutions. Collaborating with teams to solve complex scientific challenges through advanced machine learning techniques.
MLOps Engineer developing, testing, and maintaining machine learning models at Booz Allen. Collaborating with software developers and data scientists to deliver AI - powered solutions.
Senior Software Developer working on ML Infrastructure and Deployment at Verafin. Helping develop cutting - edge fraud detection tools alongside analytics teams using AWS and Terraform.
Machine Learning Engineer developing advanced SLAM systems for autonomous trucking environments at Bot Auto. Collaborating with cross - functional teams to optimize mapping solutions and ensure operational stability.
Graduate Deep Learning Algorithm Developer developing perception technologies for autonomous driving. Tackling challenges in object detection and 3D perception using state - of - the - art deep learning models.
Principal AI/ML Engineer leading the AI/ML infrastructure development for WEX's risk service needs. Focused on innovative engineering and technology solutions within a high - stakes environment.