onsite
ML Engineer - Jarmin
ML Engineer
Senior ML Engineer building AI systems that perform human-level tasks, leveraging Python, deep learning frameworks, and cloud infrastructure to deliver scalable, high‑performance solutions.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end machine learning pipelines that enable AI employees to perform complex, human‑level tasks.
- Collaborate with cross‑functional teams to define problem statements, gather data, and translate business requirements into technical solutions.
- Implement state‑of‑the‑art deep learning models, optimize training workflows, and ensure model robustness and fairness.
- Maintain and scale cloud‑based infrastructure (AWS) for data storage, model training, and inference serving.
- Continuously monitor model performance, conduct A/B testing, and iterate on models to improve accuracy and efficiency.
Requirements
- 5+ years of experience in machine learning engineering, with a strong portfolio of production‑grade models.
- Proficiency in Python, deep learning libraries (TensorFlow, PyTorch), and data engineering tools.
- Hands‑on experience deploying models on cloud platforms, preferably AWS.
- Strong analytical skills, ability to work independently, and excellent communication.
Skills
machine learningpythondeep learning