Senior Artificial Intelligence Data Scientist

Senior AI Data Scientist

• Experience:
• 5+ years of experience as a Data Scientist, Machine Learning Engineer, AI Engineer, or a related role
• Proven experience developing AI solutions from concept and prototyping through industrialization and production deployment
• Experience applying machine learning, deep learning, and statistical modeling to real-world business and engineering problems
• Experience in one or more AI domains such as computer vision, machine vision, industrial AI, generative AI, large anguage models (LLMs), anomaly detection, prediction, optimization, or intelligent decision support
• Experience collaborating with software engineering, product, systems, and customer-facing teams
• Experience working with large datasets, model evaluation, experimentation, and performance optimization
• Skills
• Strong programming skills, especially in Python
• Strong expertise in machine learning, deep learning, statistical modeling, and data science
• Experience with modern AI frameworks such as PyTorch, TensorFlow, scikit-learn, OpenCV, Hugging Face, LangChain, or similar technologies
• Experience developing, evaluating, and optimizing production-grade AI models
• Understanding of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and prompt engineering
• Experience working with computer vision and image-processing systems
• Familiarity with model deployment, MLOps concepts, and AI solution lifecycle management
• Strong analytical, problem-solving, and experimental design skills
• Communication: good verbal communication skills, with the ability to convey complex concepts.

Preferred attribute

• Visionary and innovative: ability to act pro-actively and creatively and propose groundbreaking solutions, curiosity for new technologies.
• Pragmatic: focus on solutions to be implemented in serial and industrialized products.
• Adaptable: comfortable working in a fast-paced, dynamic environment.
• Collaborative: Enjoys working across disciplines, functions, and international teams
• Business-oriented: Understands how AI can address customer challenges and deliver measurable impact

Your tasks

• Lead the design, development, evaluation, and deployment of machine learning and AI solutions
• Apply advanced AI techniques including computer vision, deep learning, generative AI, and large language models (LLMs) to solve business and customer challenges
• Translate business, product, and technical requirements into practical AI solution concepts
• Develop and optimize data pipelines, model training workflows, and model evaluation processes
• Design and implement AI solutions for use cases such as computer vision, anomaly detection, prediction, optimization, intelligent automation, and decision support
• Research, evaluate, and benchmark emerging AI technologies, foundation models, and LLM ecosystems
• Collaborate closely with software, systems, and product teams to integrate AI capabilities into products and digital platforms
• Support the industrialization of AI solutions and successful transition from prototype to production
• Mentor junior data scientists and provide technical guidance on AI best practices
• Communicate technical findings and recommendations to both technical and non-technical stakeholders
• Support customer engagements, innovation initiatives, and pre-sales activities when required

Interested in shaping the future of textile quality assurance?
Apply now and join our mission to deliver excellence in every thread.

Selection process:

1st round: Online technical assessment

2nd round: Interview via Teams

3rd round: HR discussion