
Data Science Engineer
5 days ago
Were looking for a skilled and hands-on Data Science Engineer with AI/ML expertise to join our team. Youll work on developing, deploying, and optimizing machine learning models that directly impact business outcomes. This is a highly collaborative role involving data scientists, ML engineers, and product teams to build and ship intelligent solutions at scale.
Key Responsibilities:
- Design, develop, and deploy ML models (supervised, unsupervised, NLP, etc.)
- Build robust data pipelines for model training and inference
- Perform data exploration, preprocessing, and feature engineering
- Optimize model performance using experimentation and A/B testing
- Work with product managers and software engineers to integrate models into production systems
- Monitor and retrain models as needed to ensure long-term performance
- Document model architecture, decisions, and performance metrics
Requirements:
- 5+ years of experience in data science, machine learning, or AI roles
- Strong Python skills, including pandas, NumPy, scikit-learn
- Experience with deep learning frameworks (TensorFlow, PyTorch)
- Solid SQL skills and experience working with large datasets
- Good understanding of model evaluation techniques (e.g., precision, recall, F1)
- Exposure to cloud platforms (AWS/GCP/Azure) and version control (Git)
- Ability to build and productionize ML solutions
- Strong communication and problem-solving skills
Nice to Have:
- Experience with MLOps tools (MLflow, Kubeflow, Airflow)
- Familiarity with LLMs or generative AI concepts
- Experience with containerization (Docker, Kubernetes)
- Knowledge of data lake/data warehouse architectures
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