Qureos

FIND_THE_RIGHTJOB.

Data Scientist (m/f/d)

India

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.

Data Scientist (m/f/d)

YOUR TASKS

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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