
Senior Artificial Intelligence Researcher
3 days ago
Expert Data Scientist sought to drive innovation in AI development, focusing on machine learning and generative AI models.
The ideal candidate will have a strong background in developing and optimizing ML, NLP, Deep Learning, and Generative AI models. Experience with state-of-the-art algorithms for supervised and unsupervised learning is also essential.
A key aspect of this role is working with large-scale datasets in distributed environments, ensuring scalability and performance of ML solutions.
Collaboration with cross-functional teams, including product owners, designers, and developers, is crucial for success.
- Develop and optimize ML, NLP, Deep Learning, and Generative AI models.
- Research and implement state-of-the-art algorithms for supervised and unsupervised learning.
- Work with large-scale datasets in distributed environments.
- Understand business processes to select and apply the best ML approaches.
- Ensure scalability and performance of ML solutions.
- Collaborate with cross-functional teams.
- Communicate results effectively using data visualization.
Required Skills & Qualifications:
- Strong experience in Machine Learning, Deep Learning, NLP, and Generative AI.
- Hands-on expertise in frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
- Experience with LLMs (Large Language Models), model fine-tuning, and prompt engineering.
- Proficiency in Python, R, or Scala for ML development.
- Knowledge of cloud-based ML platforms (AWS, Azure, GCP).
- Experience with big data processing (Spark, Hadoop, or Dask).
- Ability to scale ML models from prototypes to production.
- Strong analytical and problem-solving skills.
Key Responsibilities:
- Develop and optimize ML, NLP, Deep Learning, and Generative AI models.
- Research and implement state-of-the-art algorithms for supervised and unsupervised learning.
- Work with large-scale datasets in distributed environments.
- Understand business processes to select and apply the best ML approaches.
- Ensure scalability and performance of ML solutions.
- Collaborate with cross-functional teams, including product owners, designers, and developers.
- Solve complex data integration and deployment challenges.
- Communicate results effectively using data visualization.
Benefits:
Competitive salary and benefits package
Opportunities for professional growth and development
Collaborative and dynamic work environment
This is an exciting opportunity for an experienced Data Scientist to join our team and contribute to the development of innovative AI solutions.
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