Network Infrastructure Optical Service Practice, part of the Network infrastructure – Global Customer Engineering organization, provides expert customer support for optical networks, covering design, integration, transformation, and migration. The team drives digital transformation through solutions like Digital Twin, process automation, and advanced reporting while AI/Machine Learning for Optical Automation team provides data science components for all solutions. 

The role focuses on defining and implementing AI / Machine Learning bases automation solutions in different stages of our services lifecycle including planning designing, deploying, and optimizing optical networks. Ideally, the role bridges deep mathematical modeling and real-world AI implementation.

You’ll cover a critical role within Network Infrastructure Optical services, aimed at defining, developing and expanding usage of automation within optical professional services engineering community through extensive application of AI and ML to automation processes. The role will be responsible for defining and developing AI and ML solutions for automation that align with our strategic objectives, enhancing our offerings and market creation in the automation space.

General

Master's degree in Computer Science with solid background in Data Science and Machine Learning Engineering English written and spoken is a MUSTThe ability and willingness to travel as per project requirements.

Key skills – Foundational Artificial Intelligence/Machine Learning Engineering

Statistical Machine Learning (supervised, unsupervised, Reinforcement Learning, Natural Language Processing, time series forecasting)DNN and frameworks (TensorFlow, PyTorch, Keras)Background in Statistics and OptimizationData Wrangling, Feature Engineering, Model Validation and TuningContainerization and Orchestration (Docker, Docker networks)CI/CD Tools (GitLab, Artifactory, Jira, Confluence)Fluent in Python, Knowledge of C++, SQLLinux and shell scripting knowledgeKnowledge (academic and possibly hands on) required.

Key skills – Generative AI & Agentic Systems

Generative Artificial Intelligence (Large Language Models, RAG, transformer architectures)Agentic Systems Frameworks (e.g., CrewAI, LangGraph, etc.)Design and Tuning of Scalable Data PipelineFamiliarity with APIs (REST - Representational State Transfer, gRPC - google Remote Procedure Call) and microservicesKnowledge (academic and possibly hands on) is a strong plus.

Soft Skills

Team player / innovative / problem solver / self-motivated / target oriented
In particularCurious and self-motivated, comfortable bridging theory and implementationCapable of moving from abstract problem framing to concrete, testable solutionsComfortable with mathematical modeling and problem solving, but also confident in writing robust, production-grade code

Nice to have:

Orchestration with K8sDistributed data wrangling on Big Data (e.g., Spark) Data Pipelines tooling (Airflow, Kafka)Front-End Technologies for UI development (CSS - Cascading Style Sheets, html, JavaScript, php)MLOPS tooling - Machine Learning OperationsNetwork security know-how (e.g. vulnerability scanning tools, cybersecurity concepts…)Telecommunications knowledge

You will:

Contribute to analyzing automation processes for understanding Artificial Intellgence/Machine Learning introduction opportunities and related benefitsContribute to developing Artificial Intelligence/Machine Learning prototypes and productized solutions as part of more general automation solutionsContribute to integration of developed artifacts into automation solutionsContribute to solution validation strategy and test listExecute internal system integration testsDevelop domain knowledge in Optical Transport Networks Develop domain knowledge in procedures for network transformationYou will develop solid professional expertise in creating AI/ML solutions for domain problems, from concept to functional, performance and orchestrated containerized implementation using cloud native technologiesYou will engage with applied research topics and contribute to innovative approaches in solving domain-specific problems using AI/MLYou will develop a strong professional foundation in optical transport technologies