Senior Data Science & AI Specialist

Nokia; São Paulo; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading telecommunications company seeks an experienced AI & Machine Learning professional in São Paulo, Brazil. The role involves defining AI strategies, developing ML models, and collaborating with cross-functional teams. Candidates should have a strong background in Python and data engineering, along with over 12 years of experience. Responsibilities include optimizing ML pipelines and driving AI initiatives. This is a key role that offers chances to work on cutting-edge technologies in a dynamic environment.

Qualificações

• 12+ years of industry standard experience, including 2–3 years in AI/ML & Data Engineering.
• Strong programming skills in Python and familiarity with ML libraries.
• Experience with data manipulation and transformation, handling larger datasets.

Responsabilidades

• Define organizations and customers vision, roadmap for AI adoption and integration.
• Evaluate business needs and identify high-value AI opportunities.
• Collaborate with team to implement AI solutions and monitor model performance.

Conhecimentos

Python programming

ML libraries

Data manipulation

Statistical analysis

Problem-solving

Communication skills

5G & LTE knowledge

Formação académica

Bachelor’s or master’s degree in data science or Computer Science

Ferramentas

AWS

Docker

Kubernetes

MySQL

Oracle

Postgress

SQL Server

Descrição da oferta de emprego

Closely work with the AI Lead to define organizations and customers vision, roadmap, and priorities for AI adoption and integration. Evaluate business needs and identify high-value AI opportunities across functions. Explore new AI tools, technologies, and industry trends to ensure the organization stays ahead. 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. Use traditional automation languages like python combined with ML models to create a final product beneficial for Network Planning and Optimization practices. Python practical experience is a must.

Qualifications

• Bachelor’s or master’s degree in data science, Computer Science or related fields.

• A minimum of 12+ years of industry standard experience, 6-7 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, big data queries and handling larger datasets.

• Understanding of ML algorithms including supervised, unsupervised, and deep learning methods.

• Experience in interfacing python tools with relational databases – Atleast 1-2 of these (Click house, Presto, MySQL, Oracle, SQL Server, Postgress)

• Solid foundation in statistics and data analysis.

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• Knowledge of cloud platforms (AWS, GCP, Azure) and experience with containerization (Docker, Kubernetes) is a plus.

• Strong problem-solving skills, ability to work independently and collaboratively with customers and internally.

• 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

Responsibilities

Interprets internal and external business challenges and recommends best practices to improve products, platforms, tools, processes and services using AI & Automation initiatives.

• Has in-depth organisational and relevant market knowledge and uses understanding on how relevant areas can be integrated to achieve objectives.
• Solves complex problems based on sophisticated analytical thought and complex judgment.
• Contributes to development of concepts to determine professional direction of own organisational unit.

• 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.