onsite
AI or ML Engineer
MLOps Engineer
Mid-Level Machine Learning Engineer to develop and deploy AI models, optimize performance, and drive data-driven solutions.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models to solve complex business problems
- Collaborate with cross-functional teams to identify data-driven solutions and opportunities
- Optimize existing models for performance, scalability, and accuracy
- Implement best practices in data preprocessing, feature engineering, and model evaluation
- Stay updated with the latest advancements in AI/ML research and technologies
- Document code, models, and processes for reproducibility and knowledge sharing
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- 2+ years of hands-on experience in machine learning model development
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Strong understanding of algorithms, statistics, and data structures
- Experience with cloud platforms (AWS/GCP/Azure) and big data tools is a plus
Skills
pythonmachine learningtensorflowpytorchscikit learndata science