- Company Name
- Addition+
- Job Title
- Artificial Intelligence Engineer
- Job Description
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**Job title:** Artificial Intelligence Engineer
**Role Summary:**
Deliver end‑to‑end AI and data science solutions for real‑world client challenges, designing production‑ready systems, training machine learning, deep learning, and reinforcement learning models, and deploying them in cloud environments.
**Expections:**
- Own full project lifecycle from concept through live deployment.
- Drive best practices in code quality, version control, containerization, and cloud operations.
- Mentor junior team members and lead technical discussions with stakeholders.
**Key Responsibilities:**
- Design, build, and deploy production‑ready AI models using Python (Pandas, NumPy, scikit‑learn), deep learning frameworks, and reinforcement learning libraries.
- Develop scalable data pipelines (Python, SQL) for extraction, cleaning, and transformation of structured data.
- Perform exploratory data analysis and create insights using notebooks and visualizations.
- Translate model outputs into dashboards (Power BI, Tableau) for client consumption.
- Present findings and technical concepts to non‑technical stakeholders.
- Support business development by contributing to proposals and identifying new data science opportunities.
**Required Skills:**
- Strong quantitative foundation (Mathematics, Statistics, Physics, or related field).
- Proven experience delivering AI/data science solutions end‑to‑end.
- Advanced Python programming; expertise with Pandas, NumPy, scikit‑learn.
- Hands‑on experience with machine learning (tree‑based, regression), deep learning, and reinforcement learning.
- SQL proficiency and structured data handling.
- Familiarity with Git, cloud environments (AWS, Azure, GCP), and CI/CD pipelines.
- Excellent problem‑solving, organization, and communication skills.
**Required Education & Certifications:**
- Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Physics, or related quantitative discipline.
- Certifications in machine learning frameworks (TensorFlow, PyTorch, etc.) are advantageous.