ML Engineer

19 hours ago

Prague, Hlavní město Praha, Czech Republic Jimmy Technologies Full time 200,000 - 250,000 per year
Job description

Our client, a leader in data-driven solutions, is seeking ML Engineers to contribute to their AI-driven automation and efficiency projects in the US. This role is part of a larger company's strategy leveraging Generative AI (GenAI) to enhance workflows, decision-making, and data management of the enterprise solutions in tax, auditing and risk management used by the largest companies in the world.

The project is focused on building proof-of-concept (POC) applications and then converting them into scalable, production-ready systems using large-scale Neural Networks, Deep Learning and Reinforcement Learning techniques.

This is a remote-first position for engineers based in Europe, Turkey, Georgia, Armenia, or the United Arab Emirates with a required overlap of US working hours (2-6 PM CET).

Responsibilities

  • Develop and train transformer-based models for text and image processing, ensuring high performance and scalability.

  • Design and manage the full model lifecycle, from data preparation and model architecture to training, validation, deployment, and continuous monitoring.

  • Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to build and implement AI-driven solutions that align with business objectives.

  • Stay up to date with the latest advancements in AI and machine learning, incorporating cutting-edge techniques and technologies to enhance model effectiveness.

Job requirements

  • Strong expertise in large-scale Neural Networks, Deep Learning, and Reinforcement Learning techniques, with a focus on real-world applications.

  • Hands-on experience with GenAI projects and related frameworks, including RAG applications, vector databases, LangChain, LlamaIndex, and agentic frameworks.

  • Advanced proficiency in Python and machine learning libraries, such as SciPy, Scikit-learn, TensorFlow, PyTorch, pyMC, and pgmpy.

  • Practical experience with cloud computing platforms, preferably Azure, but also AWS or GCP.

  • Deep understanding of the full ML lifecycle, with hands-on experience in MLOps and DataOps practices.

  • Strong background in Probabilistic Graphical Models, including Bayesian Networks, Markov Random Fields, and Factor Graphs.

  • Excellent problem-solving skills and keen attention to detail.

Work Conditions

  • Start Date: ASAP

  • Location: Remote (99%); must be able to travel freely within the UK & Europe for workshops.

  • Onsite Requirements: Mandatory planning sessions/workshops (1x per year).

  • US Time Zone Overlap: Required (2 AM - 6 PM CET)

All done

Your application has been successfully submitted

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