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Data Scientist
2 weeks ago
**As a Senior Data Scientist Engineer, you will play a key role in developing and implementing advanced data science solutions to solve complex business problems and drive innovation within our organization.**
**What you will do**:
- Research, design, and implement state-of-the-art machine learning algorithms and models to address business challenges.
- Develop and deploy scalable and robust machine learning pipelines and solutions using MLOps best practices.
- Collaborate closely with cross-functional teams including engineering, product management, and business stakeholders to identify opportunities and define requirements for data science projects.
- Explore and experiment with new technologies, tools, and techniques to continuously improve and enhance our data science capabilities.
- Mentor and provide technical guidance to junior members of the data science team, fostering a culture of learning and innovation.
- Communicate complex technical concepts and findings to non-technical stakeholders clearly and concisely
**Qualifications**:
**What we are looking for**:
- 4 - 8 years of experience working in a data science or similar role.
- Must have 4+ years of experience in Python.
- Proficiency in popular machine learning frameworks, particularly experience with PyTorch and TensorFlow.
- Experience in evaluating ML model's performance using metrics such as F1 Score, Groundedness, Correctness, Precision, Recall, etc.
- Ability to design, implement, and optimize end-to-end ML pipelines for efficient data processing and model training.
- Demonstrated expertise in working with large Language Models, with a focus on natural language understanding and generation.
- In-depth understanding of deep learning techniques, including RNNs, CNNs, and other advanced neural network architectures.
- Proficiency in working with Transformer Architecture for developing scalable and efficient AI models.
- Familiarity with integrating AI models into production systems through APIs.
- Strong interpersonal and problem-solving skills and the ability to collaborate effectively with cross-functional teams.
- Willingness to stay updated with the latest advancements in data science and incorporate new technologies into projects.
- A passion for exploring and contributing to cutting-edge research in the field of data science.
