
Senior Artificial Intelligence Specialist
2 weeks ago
We are seeking an experienced Machine Learning Engineer to join our data and AI team. The successful candidate will be responsible for developing and deploying advanced machine learning models to solve business problems, drive data-based decision-making, and support AI-driven product development.
About the Role:- Design, build, and optimize supervised, unsupervised, and deep learning models for various business applications.
- Clean, transform, and analyze structured and unstructured data; identify significant features.
- Develop end-to-end AI pipelines and integrate models into production systems using APIs or deployment frameworks.
- Work closely with product managers, domain experts, and engineers to understand requirements and translate them into data science solutions.
- Evaluate model performance (e.g., RMSE, F1 score, ROC AUC), and prepare technical documentation and reports.
- Stay up to date with latest AI/ML techniques and propose innovative applications.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or related field.
- 4-6 years of hands-on experience in:
- Python
- R
- SQL
- Machine Learning frameworks (e.g., Scikit-learn, XGBoost, LightGBM)
- Deep Learning (e.g., TensorFlow, PyTorch, Keras)
- Data manipulation and visualization (e.g., Pandas, NumPy, Matplotlib, Seaborn)
- Model deployment tools (e.g., Flask, FastAPI, Docker, MLflow)
- Experience with cloud platforms (AWS/GCP/Azure) and MLOps tools
- Familiarity with large-scale data processing (e.g., Spark, Dask)
- Exposure to NLP, computer vision, or generative AI (OpenAI, Hugging Face, LangChain)
- A dynamic and collaborative work environment.
- Opportunities to work on cutting-edge AI/ML projects.
- Flexible work arrangements.
- Competitive compensation and performance bonuses.
- Continuous learning support through training and certifications.
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