onsite
Senior AI and Machine Learning Engineer
ML Engineer
Lead the design and deployment of advanced AI solutions, leveraging CNNs, decision trees, and robust data pipelines to extract insights and drive intelligent products.
About the role
Key Responsibilities
- Architect, develop, and optimize deep learning models—primarily Convolutional Neural Networks—for image, video, or sensor data.
- Design end‑to‑end data pipelines that include mining, cleaning, preprocessing, and feature engineering to support scalable ML workflows.
- Create interactive visualizations and dashboards to communicate model performance and data insights to stakeholders.
- Implement and fine‑tune classical machine learning algorithms such as decision trees for complementary tasks and ensemble strategies.
- Collaborate with cross‑functional teams to integrate AI components into production systems, ensuring reliability, latency, and security requirements are met.
Requirements
- 5+ years of professional experience in AI/ML engineering, with a strong focus on deep learning and computer vision.
- Proficiency in Python and its ML ecosystem (TensorFlow, PyTorch, scikit‑learn, pandas, NumPy).
- Hands‑on expertise in data mining, preprocessing, and visualization tools (SQL, Spark, Tableau, Matplotlib, Seaborn).
- Solid understanding of machine learning theory, including decision trees, ensemble methods, and model evaluation techniques.
- Track record of deploying models to production environments (Docker, Kubernetes, cloud platforms) and monitoring their performance at scale.
Skills
pythonmachine learning