Senior Machine Learning Engineer
4 weeks ago
Key Responsibilities
- Implement state-of-the-art machine learning models for GenAI and NLP applications.
- Private LLM development
- Lead the full model development lifecycle from conception to deployment, including data preprocessing, model training, evaluation, and iteration.
- Collaborate with product managers, software engineers, and data scientists to integrate AI capabilities into products and services.
- Stay abreast of the latest AI research and technologies in GenAI and NLP to ensure our solutions remain cutting-edge.
- Mentor junior machine learning engineers and data scientists, fostering an environment of continuous learning and growth.
- Drive innovation by exploring creative AI solutions to complex problems.
- Ensure the ethical use of AI technologies, prioritizing privacy, security, and fairness.
Required Skills and Qualifications
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of experience in machine learning or AI research and development, with a strong focus on GenAI and NLP.
- Proficient in programming languages such as Python and frameworks like TensorFlow, PyTorch.
- Extensive experience with NLP techniques (e.g., BERT, GPT) and generative models.
- Strong understanding of machine learning fundamentals and deep learning.
- Experience with cloud platforms (AWS/ Google Cloud / Azure) and MLOps tools.
- Excellent problem-solving, analytical, and technical skills.
- Strong communication and collaboration abilities.
Desirable Skills
- Experience with large language models (LLMs) and their applications.
- Publications in top AI/ML conferences or journals.
- Experience in developing AI products from ideation to launch.
- Knowledge of ethical AI principles and practices.
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