onsite
AI/ML Engineer - Wipro
ML Engineer
Design and deploy AI/ML solutions using Python, TensorFlow/PyTorch, and cloud services. Build scalable models, integrate them into production pipelines, and collaborate with cross‑functional teams to drive data‑centric innovation.
About the role
Key Responsibilities
- Develop, train, and fine‑tune machine learning models using Python frameworks such as TensorFlow and PyTorch.
- Design end‑to‑end AI pipelines, including data preprocessing, feature engineering, model validation, and deployment.
- Implement scalable model serving solutions on cloud platforms (e.g., AWS) using containerization tools like Docker.
- Collaborate with data engineers, product owners, and domain experts to translate business requirements into technical specifications.
- Monitor model performance in production, perform root‑cause analysis, and iterate to improve accuracy and efficiency.
Requirements
- Bachelor’s or higher in Computer Science, Engineering, or a related field with strong fundamentals in machine learning algorithms.
- Proficiency in Python and hands‑on experience with TensorFlow or PyTorch.
- Experience deploying ML models on cloud environments (AWS preferred) and using container technologies.
- Solid understanding of data pipelines, version control, and CI/CD practices for AI workloads.
- Excellent problem‑solving skills and ability to work in an agile, collaborative team setting.
Skills
pythontensorflowpytorchmachine learningawsdocker