Movers work passionately toward a common goal – with drive, innovation and the cleverness needed to get the job done. Movers have made Schmalz the market leader in vacuum automation and ergonomic handling systems. Are you a Mover? Then you’re the perfect fit for our rapidly growing family company – the perfect fit for Schmalz.
We are looking for a Junior Data Scientist who is eager to work with Machine Learning (ML), Natural Language Processing (NLP), and AI-powered chatbots. This role will involve developing AI models using AWS AI services (SageMaker, Bedrock, OpenSearch) and supporting the deployment of GenAI-based solutions.
- Develop and fine-tune ML & NLP models for customer interactions and enterprise search
- Work on Retrieval-Augmented Generation (RAG) models to improve chatbot accuracy
- Conduct feature engineering, model training & hyperparameter tuning
- Assist in deploying AI models using AWS SageMaker, Lambda, and ECS
- Validate and analyze model performance and suggest improvements
- Collaborate with Data & Cloud Engineers for seamless model deployment
- Gain hands-on experience in AI-driven data processing & decision support system
- Requirements:
- 1-2 years of experience in Machine Learning & NLP
- Proficiency in Python, Scikit-Learn, TensorFlow/PyTorch, Hugging Face
- Basic experience with AWS AI services (SageMaker, Bedrock, OpenSearch)
- Understanding of SQL, NoSQL & data storage principles
- Eager to learn MLOps and cloud-based AI deployment workflows
- Strong problem-solving mindset and analytical skills
- Preferred Qualifications:
- Some knowledge of API development (FastAPI, Flask) & Data Pipelines (ETL, AWS Glue)
- Experience working with structured & unstructured data
- Interest in enterprise AI applications & business intelligence
- Secure Job
- Performance Bonus
- Professional opportunities with management
- Flexible working hours
- Team events, parties & celebration