Help our clients harness the power of AI and machine learning. You will design, train, and deploy ML models for production use cases across industries including healthcare, finance, and e-commerce.
Responsibilities
- Design and implement machine learning pipelines for production workloads
- Fine-tune and deploy large language models for enterprise applications
- Build data preprocessing and feature engineering pipelines
- Collaborate with engineering teams to integrate ML models into applications
- Monitor model performance and implement drift detection systems
Requirements
- 3+ years of experience in machine learning or data science
- Proficiency in Python, PyTorch or TensorFlow
- Experience with MLOps tools (MLflow, Kubeflow, or similar)
- Understanding of NLP, computer vision, or recommendation systems
- Strong mathematical foundations in statistics and linear algebra
Interested in this role?
Send us your resume and a brief note about why you are excited about this position.
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