Senior Data Scientist
1 week ago
Our client, a leader in data-driven solutions, is seeking Senior Data Scientists 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).
ResponsibilitiesDevelop 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.
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.
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)
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