TechBiz Global

At TechBiz Global, we provide recruitment services to top clients from our international portfolio. We are currently looking for a Senior Data Scientist with strong hands-on experience in training AI models, particularly Large Language Models (LLMs) and Small Language Models (SLMs), using GPU infrastructure and real-world datasets.

The ideal candidate should be based in Poland and able to clearly demonstrate their technical expertise, explain the tools and frameworks they use, and describe the complete model-training process—from data preparation to deployment and performance optimisation.
 

Key Responsibilities

• 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 appropriate models, frameworks, tools, and training approaches based on project requirements.
• Apply techniques such as 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.
• Clearly document and explain the tools, methods, and technical decisions used throughout the model-training process.
• Collaborate with engineering, data, and business teams to move models from experimentation into production.
• Troubleshoot issues related to model quality, training stability, GPU performance, and data pipelines.

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 machine learning and deep-learning frameworks such as:
  • PyTorch
  • TensorFlow
  • Hugging Face Transformers
• Experience with GPU-related technologies and environments, such as 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 used, technical challenges, and achieved results.
• Experience working with large and complex datasets.
• Good English communication skills.
• Based in Poland.
   

Relevant Industry Experience

• Experience in one or more of the following industries or data environments would be highly valuable:
• E-commerce
• Finance or banking
• Insurance
• Healthcare or medical data
• Telemetry and IoT data
• Application or system logs
• Real-time and streaming data

• High-volume enterprise data environments

   

Nice to Have

• Experience with distributed model training.
• Experience with LoRA, QLoRA, PEFT, quantisation, or model compression.
• Experience with MLOps tools and model deployment.
• Knowledge of Docker, Kubernetes, MLflow, or similar technologies.
• Experience using AWS, Azure, or Google Cloud for AI workloads.
• Experience deploying AI models into production environments.
• Knowledge of data privacy, security, and governance requirements.

At TechBiz Global, we provide recruitment services to top clients across our portfolio. We are currently looking for an experienced AVEVA Developer to join one of our clients’ teams. If you are seeking an exciting opportunity to grow in an innovative industrial environment, this could be the perfect fit for you.
 

Responsibilities

•Development, configuration, and maintenance of applications based on the AVEVA System

Platform (InTouch, Application Server, Historian)

• Creation and further development of HMI visualizations, scripts, and templates

• Integration and configuration of I/O servers, communication drivers (e.g., OPC UA/DA), and

interfaces to higher-level systems (MES/ERP)

• Fault analysis, troubleshooting, and system optimization during ongoing production operation

• Performing software updates, migrations, and system backups

• Documentation of system changes in accordance with internal quality standards

• Close collaboration with Production, Maintenance, and IT

• Support during the commissioning of new plant components

• Taking on Second Level Support for complex faults and escalations

Job requirements

• Experience with AVEVA System Platform / Wonderware
• Knowledge of InTouch and Application Server
• Experience with SQL and VBScript
• Understanding of industrial communication protocols
• PLC programming knowledge is an advantage
• Slovak and English are mandatory
• German is an advantage
• Willingness to work early and late shifts

• Willingness to participate in on-call duty

   

What We Offer

• Competitive salary
• Shift and on-call allowances
• Professional development opportunities
• AVEVA certification support
• Structured onboarding