Machine Learning Engineer With Data Science Experience

P.I. Works is the first company in the world to automate the management of a commercial 5G network.

Our automated network management products and services empower mobile operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across more than 84 mobile operators in 58 countries around the world.

Come and join us to work with the leading telecom operators around the world and redefine the mobile experience worldwide leveraged by contemporary, pioneer use-cases based on wide variety of Artificial Intelligence methods such as Statistical Machine Learning, Deep Learning, Big Data Complex Event Processing and Pattern Recognition to be applied in the Telecommunication industry.

What You Will Do:

• Design and develop advanced machine learning models to meet business objectives, incorporating metrics to monitor performance and impact.
• Developing and executing Proofs-of-Concept (POCs) using cutting-edge machine learning and AI technologies.
• Collaborate with subject-matter experts (SMEs) across domains to define problem statements, metrics, and ensure model outputs align with expectations.
• Document and communicate complex AI/ML techniques to cross-functional team members, fostering knowledge sharing.
• Participate in collaborative brainstorming sessions to innovate solutions and learn from diverse perspectives.

What You Need to Be Successful:

• 2–3 years of hands-on experience in applied machine learning, with a proven track record in statistics, ML model development, data analysis, and visualization.
• Proficiency in Python and key ML/data analysis libraries (e.g., scikit-learn, pandas, NumPy) for solving problems in time series, forecasting, anomaly detection, and related domains.
• Demonstrated project experience with deep learning frameworks (e.g., TensorFlow, Keras), particularly with Recurrent Neural Networks (RNNs) for time-series forecasting.
• Experience with Large Language Models (LLMs), and Agentic AI including fine-tuning, deployment, and integration of LLMs for tasks like text generation as well as building and optimizing AI agents for autonomous decision-making and task automation.
• Strong ability to handle complex, ambiguous scenarios into actionable and tractable models.
• Expertise in visualizing and handling large-scale datasets effectively.
• Proficiency with SQL and experience working with various database systems (e.g., relational, NoSQL).
• Fluent in English, with the ability to support technical discussions in global meetings.
• Familiarity with version control systems (e.g., Git, Mercurial), issue tracking tools (e.g., Jira, Confluence), and data science productivity platforms (e.g., Jupyter, Azure Notebooks).

What Makes You a Great Fit (Preferred Qualifications):

• Bachelor’s degree in Computer Science, Mathematics, Data Science, or a related field; Master’s degree is a plus.
• Experience working with sequential big data, such as time-series forecasting, anomaly detection, root cause analysis, or geolocation analytics.
• Expertise in high-performance computing, data modeling, and query optimization.
• Proficiency in software development practices, big data technologies (e.g., Hadoop, Spark), and Linux environments.
• Domain knowledge in telecommunications or related industries.
• Strong data storytelling skills, with experience delivering executive-level reports and presentations.
• Eligibility to work in Turkey.

What We Can Provide:

• Career development opportunities in a multinational working environment
• Develop your 5G and AI knowledge in a market-leading company with subject matter experts
• International career opportunities (Americas, Europe, MEA, APAC regions)
• Private health insurance
• Flexible working hours and vacation policy