Senior Artificial Intelligence Data Scientist

Senior AI Data Scientist

Education: Master or PhD degree in Computer Science, Software Engineering, or a related field

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

Selection process

1st round: Online technical assessment

2nd round: Interview via Teams

3rd round: HR discussion .