Machine Learning Engineer with Advanced NLP Expertise
6 days ago
We are seeking an experienced Machine Learning Engineer to join our team at Jupiter AI Labs.
The successful candidate will have a strong background in machine learning and artificial intelligence, with a focus on natural language processing (NLP) and large language models (LLMs).
Key Responsibilities:
- Model Development: Design, develop, and optimize machine learning models for various applications, with a focus on NLP and LLMs.
- Data Preparation: Collect, preprocess, and analyze large datasets for model training and evaluation, ensuring data quality and scalability for ML solutions.
- Algorithm Implementation: Implement state-of-the-art machine learning algorithms in Python or other relevant frameworks, fine-tuning models for specific business use cases.
- Deployment and Monitoring: Deploy ML models into production and monitor performance metrics, ensuring scalability, reliability, and efficiency in real-world applications.
- Collaboration: Work closely with cross-functional teams to integrate ML models into larger systems, communicating findings and providing actionable insights to stakeholders.
Requirements:
- A minimum of 4+ years of experience in Machine Learning, Artificial Intelligence, or Data Science.
- Strong knowledge of Python and popular ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Hands-on experience with NLP, LLMs, and real-time data processing.
- Proficiency in data preprocessing, feature engineering, and model optimization.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and ML deployment pipelines.
- Strong analytical and problem-solving skills.
Preferred Skills:
- Knowledge of WebSocket and streaming technologies.
- Experience with Reinforcement Learning or Generative Models.
- Familiarity with MLOps practices.
Estimated Salary: $120,000 - $180,000 per year, depending on location and experience.
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