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
YOUR PROFILE
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
OUR BENEFIT PACKAGE
Secure Job
Performance Bonus
Professional opportunities with management
Flexible working hours
Team events, parties & celebration
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employees
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locations worldwide
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percent family-owned
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times awarded as Great Place to Work
Are You a Mover?
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.