Nokia AI/ML Lead - Cognitive Digital Mining 

Brazil 

650674016

AI/ML Solution Development:Design, build, and deploy machine learning models and AI-driven solutions for predictive maintenance, anomaly detection, real-time data analytics, and other mission-critical use cases within mining and energy applications.

• Data Pipeline & Model Optimization: Develop and manage data pipelines to support model training and deployment. Optimize models for performance and scalability in rugged, data-intensive environments.
• Algorithm Development & Feature Engineering: Perform feature engineering and data preprocessing for model robustness and accuracy. Research and implement advanced algorithms that bring new value to mining operations.
• Collaboration with Nokia Bell Labs: Work closely with Bell Labs researchers, embracing hands-on collaboration to explore and integrate cutting-edge AI/ML innovations into practical applications. Adapt research outputs into actionable solutions that leverage agile methodologies.
• Deployment & Integration with Edge Devices: Design and deploy AI/ML models on edge devices in distributed network environments, ensuring models are optimized for low latency and high reliability in remote, industrial settings.

Implement monitoring strategies for deployed models to track performance, identify drift, and ensure continuous model accuracy and relevance in mission-critical applications.

Technical Requirements:

• AI/ML & Data Science Expertise: 5+ years of hands-on experience in machine learning, deep learning, and data science. Expertise in supervised and unsupervised learning, time-series analysis, anomaly detection, and reinforcement learning is highly desirable.
• Programming Skills: Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, and Pandas. Familiarity with C++ or Java is a plus for integration with other system components.
• Data Engineering & Pipeline Management: Experience with data pipeline development and management tools such as Apache Spark, Apache Kafka, or similar. Proficiency in SQL and NoSQL databases.
• Cloud & Edge Deployment: Knowledge of deploying AI/ML models in cloud and edge environments, with experience in frameworks like TensorFlow Lite, ONNX, or similar for edge inference. Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is beneficial.
• Version Control & MLOps: Experience with MLOps practices and tools for version control, CI/CD, and model lifecycle management. Familiarity with platforms like MLflow, Kubeflow, or Docker for reproducibility and scalability.
• Agile & Cross-Functional Collaboration: Comfortable working within Scrum or agile methodologies. Strong team player with experience in fast-paced, iterative development environments.

Preferred Qualifications:

• Educational Background: Bachelor’s degree in Computer Science, Data Science, Machine Learning, or related field. A Master’s degree or PhD is a plus.
• Languages: Proficiency in Portuguese and English is required; Spanish is a plus.
• Industry Background: Experience in the mining, energy, or oil & gas sectors, with familiarity in applying AI/ML for mission-critical operations is advantageous.

Nokia has received the following recognitions for its commitment to inclusion & equality:

• One of the World’s Most Ethical Companies by Ethisphere
• Gender-Equality Index by Bloomberg
• Workplace Pride Global Benchmark