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Advanced Machine Learning Specialist
2 weeks ago
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- Develop and deploy AI/ML models for real-world applications using Python, TensorFlow, PyTorch, or Scikit-learn.
- Work on NLP, computer vision, predictive analytics, and LLMs.
- Optimize ML pipelines for performance and scalability.
- Collaborate with cross-functional teams including developers, data engineers, and product managers.
- Stay updated with advancements in AI/ML and suggest improvements for implementation.
- Conduct experiments, validate results, and integrate solutions into production.
- Troubleshoot, monitor, and improve deployed models.
The ideal candidate should possess the following skills:
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- 3–7 years of experience in AI/ML engineering roles.
- Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience working with LLMs and fine-tuning large models.
- Strong knowledge of ML pipelines, data preprocessing, and deployment frameworks (e.g., Docker, Kubernetes, FastAPI).
- Familiarity with cloud platforms (AWS, GCP, Azure) for AI/ML deployment.
- Good understanding of software development practices, Git, CI/CD.
- Strong problem-solving skills and ability to work in a fast-paced environment.
This role offers exciting opportunities to work on cutting-edge AI projects and contribute to our team's growth and success.
Why Join Us?By joining us, you will be part of a dynamic work culture that values innovation, collaboration, and continuous learning. We offer a supportive and challenging environment where you can grow professionally and personally.