
Advanced Machine Learning Professional
10 hours ago
We're seeking an ambitious ML professional to drive innovation in our fast-growing team.
This is a full-time opportunity for someone who thrives in a dynamic environment and is passionate about solving real-world problems using advanced ML techniques.
Key Responsibilities:
Develop and implement cutting-edge solutions using Large Language Models (LLMs)
Design and fine-tune prompt engineering strategies for performance optimization
Work on Retrieval-Augmented Generation (RAG) pipelines and knowledge-grounded systems
Apply a wide range of ML techniques including classification, clustering, embeddings, and optimization
Collaborate closely with backend and AI engineering teams to integrate ML solutions into production systems
Contribute to experimentation, model evaluation, and continuous improvement cycles
Required Skills and Qualifications:
Strong hands-on experience with LLMs (OpenAI, HuggingFace, etc.)
Proficiency in prompt engineering, few-shot learning, and RAG frameworks
Solid understanding of machine learning fundamentals and applied techniques
Familiarity with tools like LangChain, Pinecone, Weaviate, or similar
Ability to work independently and manage time effectively in a remote setting
Eagerness to learn, adapt, and contribute proactively in a fast-paced environment
What Matters to Us:
We value commitment and curiosity over formal degrees
We appreciate individuals who take ownership and bring a solutions-first mindset
We are building a culture of speed, experimentation, and continuous learning
Position Details:
Type: Full-Time Intern (45-50 hours/week)
Location: Remote
PPO: After 3 months of completion a full-time offer will be rolled out depending on the performance
Compensation: Competitive, based on experience and capability
Start Date: Immediate
Benefits:
We offer a competitive compensation package and opportunities for growth and development
We prioritize work-life balance and provide flexible working arrangements
We foster a collaborative and inclusive team environment
Others:
We encourage innovation and creativity in all aspects of our work
We invest in ongoing education and training to stay ahead of industry trends
If you're excited to work on cutting-edge AI systems and grow with a talented team, we'd love to hear from you.
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