
Advanced Machine Learning Engineer
9 hours ago
Data Scientist Role
We are seeking a highly skilled Data Scientist to join our data and AI team. As a key member of the team, you will be responsible for developing and deploying advanced machine learning and AI models to solve business problems, drive data-based decision-making, and support AI-driven product development.
About the Job:
- Design, build, and optimize supervised, unsupervised, and deep learning models for various business problems.
- 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.
- Collaborate with product managers, domain experts, and engineers to understand requirements and translate them into data science solutions.
- Track model performance (e.g., RMSE, F1 score, ROC AUC), and prepare technical documentation and reports.
- Stay up to date with latest AI/ML techniques (e.g., LLMs, transformers, reinforcement learning) and propose innovative applications.
Required Skills & Qualifications:
- Bachelors or Masters 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) is a plus Exposure to NLP, computer vision, or generative AI (OpenAI, Hugging Face, LangChain) is highly desirable.
- Strong analytical and communication skills.
- Nice to Have Experience in industry-specific AI applications (e.g., fintech, healthcare, retail) Contribution to open-source projects or ML competitions (e.g., Kaggle) Certifications in Data Science / AI from recognized platforms.
Benefits:
- 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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