Find The RightJob.
Job Purpose
Support the development, testing and deployment of AI/ML models (OCR, conversational AI/chatbots, basic generative features, STT/TTS) and help integrate model outputs into production flows. Learn and contribute to PoCs and productization activities under senior guidance.
Report To Position Name
Model Development & Support Assist with data collection, cleaning, labeling and augmentation for NLP, OCR and speech tasks. Implement and run baseline ML/DL experiments (classification, simple sequence models, CNNs for vision). Assist in fine-tuning LLMs for narrow tasks and basic RAG pipelines (ingest embed retrieve generate). Speech & Conversational Features Support STT/TTS integration testing (e.g., open-source and cloud STT/TTS engines). Assist in chatbot flow testing and NLU tuning (intent/entity tests). Help validate voicebot prototypes for basic call flows. Integration & Deployment Support packaging models for deployment (containers), and collaborate with Platforms Engineers on end-point integration and API contracts. Participate in staging tests and simple monitoring (latency, throughput). Documentation & Learning Maintain experimental logs, model cards and basic reproducibility documentation. Contribute to PoC documentation and demo packages.
QUALIFICATIONS_ESSENTIAL
Bachelor’s in Computer Science, Data Science, AI, or equivalent
QUALIFICATIONS_DESIRABLE
Troubleshoot training failures and data issues; escalate complex model problems.
EXPERIENCE_ESSENTIAL
0–2 years (internships / project experience acceptable).
EXPERIENCE_DESIRABLE
Fundamentals of ML/DL, Python, PyTorch/TensorFlow, basic NLP/OCR and STT/TTS concepts. Python, data handling (Pandas), Git, basic Docker, curiosity and fast learning.
CERTIFICATIONS_ESSENTIAL
N/A
Similar jobs
No similar jobs found
© 2026 Qureos. All rights reserved.