
Senior ML Engineer
Jimmy Technologies
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇨🇿 Czech
Visit company websiteSalary
💰 €35 - €43 per hour
Job Level
Senior
Tech Stack
AWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnTensorflow
About the role
- 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.
Requirements
- Strong expertise in large-scale Neural Networks, Deep Learning, Fine Tuning, 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Neural NetworksDeep LearningFine TuningReinforcement LearningGenAIMLOpsDataOpsProbabilistic Graphical ModelsBayesian NetworksMarkov Random Fields
Soft skills
problem-solvingattention to detail