- Company Name
- Substance
- Job Title
- Artificial Intelligence (AI) Engineers
- Job Description
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Job Title: Artificial Intelligence (AI) Engineer
Role Summary
Design, develop, test, and deploy machine‑learning and deep‑learning solutions that address industry‑specific challenges. Collaborate with cross‑functional teams to integrate AI models into production systems and continuously improve performance and fairness.
Expectations
- Deliver high‑quality AI solutions on schedule.
- Stay current with state‑of‑the‑art algorithms and best practices.
- Communicate technical insights to non‑technical stakeholders and contribute to knowledge sharing.
Key Responsibilities
- Build, train, and deploy ML/DL models for NLP, computer vision, predictive analytics, and generative AI.
- Design scalable data pipelines and perform data preprocessing for training and inference.
- Integrate AI models into existing applications and services.
- Conduct error analysis, bias detection, and model explainability studies.
- Document model development processes, evaluation metrics, and results.
Required Skills
- Programming: Python, R, or Java.
- Frameworks: TensorFlow, PyTorch, scikit‑learn.
- Data: feature engineering, preprocessing, evaluation metrics.
- Domain expertise (choose one): NLP, computer vision, reinforcement learning, generative AI (e.g., GPT, Stable Diffusion).
- Cloud: AWS, Google Cloud, or Azure model deployment.
- Mathematics & statistics: linear algebra, probability, optimization.
- Soft skills: explain complex concepts to non‑technical audiences, strong problem‑solving, critical thinking, continuous learning.
Required Education & Certifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- Industry certifications in AI/ML (e.g., AWS AI/ML, Coursera AI Specializations) preferred.
- Prior experience in sectors such as healthcare, finance, retail, or autonomous systems is a plus.