Machine Learning Engineer
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Key skills for this role
About the Role
N2S.Global is seeking a Machine Learning Engineer with 4-9 years of experience to design, build, and operationalize ML models including predictive and generative AI. The role involves developing predictive models, building MLOps pipelines, deploying models to production, and working on GenAI integrations.
Key Skills for This Role
Responsibilities
- Design, build, and operationalize ML models including predictive and generative AI
- Develop predictive models
- Build ML pipelines (MLOps)
- Optimize model performance and accuracy
- Deploy models to production
- Work on GenAI integrations
- Monitor model performance
Requirements
- 4 9 years of experience in machine learning engineering
- Proficiency in Python and ML frameworks (Scikit learn, TensorFlow, PyTorch)
- Experience with MLOps tools (MLflow, Kubeflow, SageMaker)
- Knowledge of predictive modeling and feature engineering
- Understanding of GenAI concepts
- Experience with model deployment and monitoring
Full Job Posting
Role Overview
- Design, build, and operationalize ML models including predictive and generative AI.
Key Responsibilities
- Develop predictive models
- Build ML pipelines (MLOps)
- Optimize performance and accuracy
- Deploy models to production
- Work on GenAI integrations
- Monitor model performance
Required Skills
- Python (Scikit learn, TensorFlow, PyTorch)
- Predictive modeling & feature engineering
- MLOps tools (MLflow, Kubeflow, SageMaker)
- Model deployment & monitoring
- GenAI understanding
Good to Have
- Real time inference systems
- NLP & LLM exposure
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