ML Engineer

3 dni temu

Kraków, Lesser Poland GT Pełny etat

GT was founded in 2019 by a former Apple, Nest, and Google executive. GT's mission is to connect the world's best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands.
Our clients operate in industries like healthcare, life sciences, fintech, retail, e-commerce, finance and many more - giving our team exposure to real-world, high-impact projects.

About the Role

We're looking for an AI/ML Engineer who enjoys solving practical problems using machine learning and data.

The role combines experience in Computer Vision and Forecasting / Time-Series Modeling, offering opportunities to work on multiple types of AI projects.

The role is also open to engineers with experience in either Computer Vision, Forecasting, or both - depending on potential project alignment.


Potential example of projects:

Computer Vision - developing intelligent systems that detect and interpret objects or actions from real-time video streams using cloud-based or custom ML models.

Forecasting / Predictive Modeling - building models that predict demand, optimize scheduling, or enhance resource utilization using time-series data and advanced statistical methods.

Responsibilities:

  • Design, train, and deploy ML models for video, image, and time-series data

  • Build and maintain data pipelines using cloud-native tools (AWS, GCP, or Azure)

  • Develop and optimize forecasting models (Prophet, ARIMA, LSTM, TimeGPT)

  • Work with event-driven architectures (Kinesis, Kafka, or similar)

  • Collaborate with data, product, and cloud engineers to deliver reliable, scalable solutions

  • Participate in PoC development and discovery phases, presenting your work to stakeholders.

Essential knowledge, skills & experience (must-have):

  • 4+ years of experience in Machine Learning / Data Science

  • Strong programming skills in Python

  • Experience with Computer Vision (OpenCV, PyTorch/TensorFlow, or AWS Rekognition)

  • Background in Forecasting / Time-Series Modeling (Prophet, ARIMA/SARIMA, TimeGPT, XGBoost or similar)

  • Cloud experience (AWS, GCP, or Azure)

  • Familiarity with real-time data pipelines or stream processing

Nice-to-have:

  • Knowledge of LLMs, RAG, or vector databases

  • Experience developing PoC or production AI systems

  • Understanding of cost optimization and latency reduction in cloud ML setups

Soft Skills

  • Strong sense of ownership and accountability

  • Proactive attitude and ability to work independently

  • Clear and confident communication with both tech and non-tech stakeholders

  • Comfortable working in ambiguity and helping define requirements

  • Strategic thinking and focus on business impact

  • Team player

Interview Steps

  1. GT interview with Recruiter

  2. Technical interview

  3. Final interview

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