Duties & Responsibilities
- Develop, fine-tune, and deploy large language models (LLMs) and NLP solutions using APIs such as OpenAI, Claude AI, and similar platforms.
- Implement and enhance Retrieval-Augmented Generation (RAG) systems to improve information retrieval and response quality in AI-driven applications.
- Collaborate with cross-functional teams to integrate ML/NLP models into production systems.
- Contribute to building intelligent agentic AI systems with autonomous decision-making and task management capabilities.
- Support data preprocessing, feature engineering, and model evaluation activities.
- Assist in troubleshooting, debugging, and optimizing deployed ML models.
- Research and stay up-to-date with advancements in LLMs, NLP, and AI frameworks.
- Participate in code reviews and maintain code quality and documentation.
Our Requirements
- Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field, or equivalent experience.
- Must be able to work between 8:00 AM to 5:00 PM Eastern Time Zone (ET).
- Strong communication in English and collaboration skills.
- 1+ years of experience working with machine learning models, especially in natural language processing (NLP) and large language models.
- Hands-on experience with OpenAI API, Claude AI, or comparable LLM platforms.
- Experience implementing and working with Retrieval-Augmented Generation (RAG) techniques.
- Understanding of agentic AI principles and architectures.
- Strong programming skills in Python and familiarity with ML/NLP frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
- Positive attitude, self-motivated, and eager to learn in a dynamic environment.
What You’ll Receive
- Opportunity to work on cutting-edge international AI projects impacting diverse industries.
- Hands-on experience deploying and optimizing large-scale NLP systems.
- Mentorship from experienced ML engineers and researchers.
- Exposure to latest developments in LLMs, RAG, and autonomous AI systems.
- Career growth and networking opportunities within AI and tech industries.
- Flexible work environment with potential for remote work.
Job Category: Associate Machine Learning Engineer
Job Type: Full Time
Job Location: Remote
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