ClanX
Senior Machine Learning Engineer – Contract
Job Description
Overview
We are seeking a highly skilled Machine Learning Engineer to lead R&D efforts in leveraging LLMs for transformative business applications. This is a 10-month remote contract role requiring 4–8 years of experience in machine learning.
Company Details
Join an innovative company at the forefront of AI technology. We are dedicated to building cutting-edge solutions that redefine operations and decision-making using the latest in AI and machine learning advancements.
Requirements
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5–8 years of experience in machine learning and software development.
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Expertise in Python and software architecture patterns.
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Experience with LLM-based solutions (prompt engineering, LangChain, LlamaIndex).
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Hands-on experience with tools such as ChatGPT, Claude, and Perplexity.
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Proven track record of delivering production-grade software.
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Analytical and detail-oriented mindset for experimentation and validation.
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Entrepreneurial spirit with a passion for AI innovation.
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Strong coding discipline (clean, testable, maintainable code).
Nice to Have:
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Experience with RAG solutions, vector databases, or GraphRAG.
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Familiarity with LLM fine-tuning, quantization, and self-hosting.
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Knowledge of LLM-related security issues like prompt injection and data poisoning.
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Active GitHub contributions (please include links).
Responsibilities
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Conduct R&D to incorporate LLMs into company operations.
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Prototype, architect, and implement LLM-based solutions from concept to production.
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Experiment with the latest AI tools and technologies.
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Collaborate with top engineers and researchers to address complex challenges.
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Stay updated with developments in AI/ML, especially LLMs.
Job Details
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Location: Fully Remote
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Contract: 10 months
Interview Process
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Initial screening call.
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Technical interview focused on coding and architectural design.
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Final interview with team leads and project stakeholders.
Role of ClanX
ClanX is assisting in hiring top-tier talent for this pivotal role. We ensure a seamless recruitment process and connect you with opportunities that align with your expertise and career goals.