onsite
AI/ML Engineer - Concentrix
ML Engineer
Mid‑level AI/ML Engineer responsible for designing, building, and deploying production‑grade machine learning models using Python, SQL, and cloud services, with a focus on data pipelines, feature engineering, and model lifecycle management.
About the role
Key Responsibilities
- Design, develop, and deploy scalable machine learning models for both structured and unstructured data.
- Build and maintain robust data pipelines and feature engineering workflows.
- Manage the end‑to‑end model lifecycle, including training, validation, monitoring, and versioning.
- Collaborate with cross‑functional teams to translate business requirements into analytical solutions.
- Optimize model performance and ensure reliability in cloud environments (e.g., AWS).
Requirements
- 3–7 years of hands‑on experience developing machine learning solutions.
- Strong proficiency in Python and common ML libraries such as TensorFlow, PyTorch, or Scikit‑learn.
- Solid SQL skills for data extraction and manipulation.
- Experience building data pipelines and performing feature engineering at scale.
- Familiarity with cloud platforms (AWS preferred) and model deployment best practices.