- Company Name
- Avanciers Inc.
- Job Title
- Artificial Intelligence Engineer
- Job Description
-
Job title: Artificial Intelligence Engineer
Role Summary: Design, develop, test, and deploy AI/ML solutions using Python, leveraging deep learning, NLP, and cloud-based services. Responsible for integrating AI models into production systems via APIs and databases, ensuring scalability, maintainability, and performance.
Expectations: 3–6 years of professional experience in AI/ML engineering. Proficient in Python backend development, OOP, design patterns, and industry-standard models. Strong grasp of deep learning frameworks (TensorFlow, PyTorch) and NLP techniques. Hands‑on experience with Azure cloud services, OpenAI APIs, and other AI ecosystems. Demonstrated ability to translate data requirements into functional AI components, deploy models, and maintain them in real‑world applications.
Key Responsibilities:
- Build and train machine learning models for predictive, generative, or classification tasks.
- Implement RESTful APIs to expose AI services to frontend or backend clients.
- Design data pipelines, select appropriate databases (NoSQL/RDBMS), and ensure data integrity.
- Deploy models on Azure AI services (e.g., Azure ML, Cognitive Services) and manage continuous integration/continuous deployment workflows.
- Optimize model performance and inference latency for production use.
- Collaborate with cross‑functional teams (data science, DevOps, product) to deliver end‑to‑end solutions.
- Stay current with emerging AI tools, frameworks, and best practices; evaluate and prototype new techniques.
- Document architecture, code, and operational procedures for maintainability.
Required Skills:
- Python programming (≥3.8), advanced knowledge of numpy, pandas, scikit‑learn, TensorFlow or PyTorch.
- OOP, SOLID principles, design pattern implementation.
- Deep learning & NLP fundamentals, including embeddings, transformers.
- REST API design, Swagger/OpenAPI, gRPC.
- Experience with Azure ML, Azure Cognitive Services, or equivalent cloud AI platforms.
- Familiarity with OpenAI API (ChatGPT, embeddings, etc.).
- Database experience: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cosmos DB).
- CI/CD pipelines (GitHub Actions, Azure DevOps, Docker, Kubernetes).
- Strong analytical, problem‑solving, and debugging skills.
Required Education & Certifications:
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Applied Mathematics, or related field.
- Relevant certifications (e.g., Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate) are a plus.
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