
Highly Skilled Data Science Professional Wanted
3 days ago
Leading Data Scientist Role
About the PositionWe are seeking a skilled Senior Data Scientist to join our team. As a key member of the organization, you will play a pivotal role in developing and optimizing machine learning models for various applications.
Your primary responsibilities will include:
- Developing and implementing deep learning architectures using frameworks like TensorFlow, PyTorch, or Keras.
- Preprocessing and analyzing large datasets to extract meaningful insights, fine-tuning models for performance, accuracy, and efficiency.
- Deploying ML models into production environments using cloud platforms (AWS, Azure, GCP) or edge devices.
- Collaborating with data engineers to build robust data pipelines.
- Conducting research on emerging AI/ML technologies and applying them to real-world problems.
- Writing clean, maintainable, and well-documented code following best practices.
- Performing model evaluation, A/B testing, and error analysis to improve performance.
To be successful in this role, you will need:
- 2-4 years of experience in AI/ML development.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Keras.
- A strong understanding of Machine Learning algorithms, deep learning architectures, and statistical modeling.
- Experience with data preprocessing, feature engineering, and model optimization.
- Familiarity with big data technologies (Spark, Hadoop) and databases (SQL, NoSQL).
- An understanding of NLP, computer vision, or reinforcement learning is a plus.
- The ability to work both independently and collaboratively in a fast-paced, agile environment.
Becoming a part of our team means:
- Opportunities to learn and grow professionally.
- A dynamic work environment that fosters collaboration and innovation.
- A chance to make a significant impact on the organization.
We value individuals who possess a combination of technical expertise and soft skills, including:
- A strong drive to learn and explore.
- An eye for detail, particularly around user experience and secure coding practices.
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