Senior Data Science and Machine Learning Engineer

We are seeking an experienced Data Science/Machine Learning Engineer with a proven track record of developing and deploying ML solutions at scale. The ideal candidate combines deep statistical knowledge with strong engineering capabilities, bringing 10+ years of experience in building production-ready AI/ML systems. This role bridges the gap between cutting-edge machine learning research and practical business applications, requiring both technical excellence and business acumen.

Responsibilities

• Design and develop advanced machine learning solutions, from concept to production deployment, addressing complex business challenges.
• Build and optimize data pipelines, features, and ML infrastructure to support large-scale model training and inference.
• Lead the development of ML platforms and tools that enable efficient model development, deployment, and monitoring.
• Conduct sophisticated data analysis and create advanced statistical models for complex prediction and classification problems.
• Implement and maintain production ML systems focusing on scalability, reliability, and performance.
• Drive best practices for ML experimentation, version control, and reproducibility.
• Collaborate with domain experts to translate business requirements into technical solutions.
• Mentor data scientists and engineers on ML engineering best practices and system design.
• Establish frameworks for model performance monitoring, drift detection, and automated retraining.
• Research and implement new ML techniques to improve existing systems and solve novel problems.

Key Skills and Experience

• 10+ years of professional experience in data science and machine learning in production environments, with a proven track record of deploying ML models in production.
• Ph.D. in Computer Science, Statistics, Mathematics, or related field.
• Deep expertise in machine learning algorithms, statistical modelling, and optimization techniques.
• Strong programming skills in Python and proficiency in ML frameworks, distributed computing frameworks, and large-scale data processing.
• Expertise in ML infrastructure, including feature stores, model serving, and monitoring systems.
• Knowledge of ML testing, validation methods, and experimental design.
• Experience with MLOps practices and tools (ML pipelines, version control, containerization).
• Proficiency in Azure ML services.
• Deep understanding of data structures, algorithms, and software design principles.

Preferred Qualifications

• Expertise in deep learning architecture design and optimization.
• Background in distributed systems and high-performance computing.
• Contributions to open-source ML projects or frameworks.

About Us

Come create technology that helps the world act together. Nokia is committed to innovation and technology leadership across mobile, fixed, and cloud networks. Your career here will positively impact people's lives and help build a more productive, sustainable, and inclusive world. We foster an inclusive work environment where new ideas are welcomed, risks are supported, and authenticity is valued.

What We Offer

Nokia provides continuous learning opportunities, well-being programs, support through employee resource groups, mentoring, and a diverse, inclusive culture where people thrive and are empowered.

Our Commitment to Inclusion

Nokia is an equal opportunity employer and has received recognitions such as being one of the World’s Most Ethical Companies, the Bloomberg Gender-Equality Index, and the Workplace Pride Global Benchmark. We respect and value diversity and do not discriminate based on race, gender, age, or other protected characteristics.

About The Team

Nokia Technologies licenses Nokia's intellectual property, including patents and technologies, building on decades of R&D leadership in connected device technologies. Join us and make an impact!