Data Scientist

Job not on LinkedIn

🕒 August 4

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 38%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TechBiz Global

WebsiteLinkedInAll Job Openings

51 - 200 employees

📣 Marketing

📦 Logistics

🎯 Recruiter

Marketing • Logistics • Recruitment

TechBiz Global is a leading recruitment and software development company that specializes in connecting businesses with top-tier talent across 28+ countries. They serve clients from startups to major enterprises, providing expertise in hiring key roles in industries such as FinTech. In addition to talent acquisition, TechBiz Global offers comprehensive software development services to turn clients' visions into reality, powering digital transformations with expert engineers. The company also provides strategic CTO consulting services and flexible outstaffing and outsourcing solutions, helping businesses manage growth and optimize technology processes. Recognized as a top IT recruitment and consulting firm, TechBiz Global is dedicated to delivering personalized and innovative solutions to its clients, ensuring they have the tools necessary for success.

📋 Description

• Train, fine-tune, and optimise LLMs and SLMs using GPU infrastructure • Build and manage end-to-end machine learning training pipelines • Prepare, clean, structure, and process large volumes of real-world data • Select models, frameworks, tools, and training approaches based on project requirements • Apply supervised fine-tuning, transfer learning, prompt tuning, and parameter-efficient fine-tuning • Monitor model performance and improve accuracy, speed, scalability, and resource utilisation • Work with structured, unstructured, time-series, telemetry, log, and streaming data • Document and explain tools, methods, and technical decisions throughout the model-training process • Collaborate with engineering, data, and business teams to move models from experimentation into production • Troubleshoot model quality, training stability, GPU performance, and data-pipeline issues

🎯 Requirements

• Proven professional experience as a Data Scientist, Machine Learning Engineer, AI Engineer, or similar role • Strong hands-on experience training or fine-tuning LLMs and/or SLMs • Practical experience using GPUs for AI model training • Strong Python programming skills • Experience with PyTorch, TensorFlow, or Hugging Face Transformers • Experience with CUDA, distributed training, cloud GPU platforms, or GPU clusters • Strong understanding of model-training workflows, including data preparation, tokenisation, model selection, training, evaluation, and optimisation • Ability to clearly explain previous AI projects, tools, technical challenges, and results • Experience working with large and complex datasets • Good English communication skills • Based in Poland • Valuable industry experience in e-commerce, finance or banking, insurance, healthcare or medical data, telemetry and IoT, application or system logs, real-time and streaming data, or high-volume enterprise data environments • Nice-to-have experience with distributed model training, LoRA, QLoRA, PEFT, quantisation, model compression, MLOps, model deployment, Docker, Kubernetes, MLflow, AWS, Azure, Google Cloud, production AI deployment, and data privacy, security, and governance

🏖️ Benefits

• Talent pool participation for 60 months, with applications potentially shared with partners for suitable opportunities • Ability to withdraw talent-pool consent and have data removed

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