About the role
Key Responsibilities
- Model
Development: Build, train, and deploy machine learning models,
including LLMs, NLP, and computer vision models.
- System
Integration: Develop APIs and integrate AI models into
production-level software applications.
- Data
Processing: Work with unstructured data, manage data pipelines,
and utilize tools like Apache Airflow.
- AI
Optimization: Implement prompt engineering, RAG
(Retrieval-Augmented Generation) patterns, and model guardrails.
- Collaboration: Work
in Agile teams to deliver automated, intelligent systems.
Requirements
Required Qualifications & Skills
- Education: Bachelor’s
or Master’s degree in Computer Science, Data Science, AI, or a
quantitative field.
- Experience: 1–3
years of hands-on experience in ML/AI development.
- Technical
Skills: Proficiency in Python, JavaScript/TypeScript, SQL, and
data science libraries (PyTorch, TensorFlow, Scikit-learn).
- Cloud
Platforms: Experience with Azure AI, AWS, or Google Cloud
Platform.
- Emerging
Tech: Experience with Generative AI, LLMs, and agentic
architectures.