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You will be updated with latest job alerts via emailEstablished in 1997 Softeq was built from the ground up to specialize in new product development and R&D tackling the most difficult problems in the tech sphere. Now weve expanded to offer earlystage innovation and ideation plus digital transformation business consulting. Our superpower is to deliver all of this under one roof on a global scale. So lets get started and build a better future together!
Location: Poland/EU countries
Type of contract: B2B (fully remote)
Responsibilities
Evaluate and adapt stateoftheart machine learning (ML) computer vision (CV) generative AI and time series forecasting algorithms to meet product and client objectives.
Research design and implement innovative ML algorithms for image video multimodal and temporal data.
Architect and develop fullstack ML pipelinesfrom data acquisition and preprocessing to training evaluation and deployment in cloud (AWS) or edge environments.
Prototype and validate proofofconcept (POC) solutions for vision generative AI and timeseries forecasting problems.
Translate customer requirements into actionable tasks ensuring a clear understanding of objectives scope and expected outcomes.
Analyze structured and unstructured data to uncover trends patterns and anomalies. Apply ML and statistical methods for prediction and forecasting.
Prepare detailed technical documentation reports and presentations for internal and external stakeholders.
Communicate complex technical topics effectively to both technical and nontechnical stakeholders including clients and business partners.
Lead projects from prototype to production ensuring scalability reliability and performance of solutions.
Contribute to internal software development processes and team collaboration initiatives.
Requirements
Strong handson experience in delivering ML solutions including productiongrade computer vision and forecasting models.
Proven expertise in forecasting and time series data handling (e.g. ARIMA LSTM temporal convolutional networks).
Proficiency in image and video processing including segmentation pose estimation object detection and multimodal data fusion.
Experience with generative AI models such as diffusionbased texttoimage/video multimodal LLMs and prompt engineering.
Skilled in reading interpreting and applying insights from academic research papers.
Expertise in deep learning frameworks like PyTorch or TensorFlow.
Strong objectoriented programming skills with clean productionquality Python code.
Familiarity with Vision Transformers (ViTs) especially for action recognition object tracking and video understanding tasks.
Cloud deployment experience particularly with AWS.
Excellent communication skills in English (C1 or higher) both written and spoken.
Strong ability to work independently prioritize tasks and manage multiple projects simultaneously.
Nice to Have
Masters or Ph.D. degree in Machine Learning Computer Science Mathematics or a related field.
Contributions to opensource ML or CV libraries or participation in Kaggle competitions.
Full Time