
- 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
- Secure Job
- Performance Bonus
- Professional opportunities with management
- Flexible working hours
- Team events, parties & celebration
Kontakt
Bei Fragen sind wir gerne behilflich.
Mayura Kunachi
mayura.kunachi@schmalz.co.in