LLM Engineer

Direct message the job poster from TALENDICA

Hiring MS "Dynamics 365" AX AXapta D365 Functional Resources F&O, SCM, CRM, Project Manager

Remote

2-3 Months

Key Responsibilities

LLM Development & Optimization

• Fine-tune and deploy large language models (GPT, BERT, T5, etc.) and NLP-related tasks with vision language models (Florence-2, PaliGemma) for domain-specific tasks such as text classification, summarization, and entity extraction.
• Advanced NLP techniques, ensuring accurate text recognition of plan annotations (e.g., pipe materials, dimensions).

Annotation Workflow Integration

• Design custom techniques effective annotations to thereby achieve desired project goal.
• Automate or streamline annotation tasks wherever possible (e.g., partial auto-labeling) to reduce manual effort and error rates.
• Establish robust evaluation metrics (Perplexity, Precision, recall, F1-score, Levenshtein distance, character array, Bleu score ) for NLP components, including text extraction quality.
• Set up an iterative experimentation framework to track model versioning, data changes, and performance gains over time.

Data Management & Accountability

• Coordinate with the Project Manager and AI Engineer to ensure new data (annotated or collected) is properly versioned and accessible.
• Implement best practices for dataset growth, including tracking who annotated or curated the data and how these changes affect model performance.

Deployment & Scalability

• Integrate with existing infrastructure and pipelines, ensuring minimal disruption to ongoing model development.
• Optimize model sizes and queries to reduce latency between input and output (quantization, batch optimization, etc.)

Required Qualifications

• Master’s/Phd in Computer Science/Engineering, Computational Linguistics.
• Intensive hands on experience on custom LLM.

Technical Expertise

• Proficiency in Python and deep learning frameworks (PyTorch preferred).
• Proven track record of deploying NLP or LLM systems in production (Cloud or on-prem).
• Solid understanding of tokenization, embedding techniques, and advanced fine-tuning strategies.
• Experience in leveraging open, closed, or custom annotation tools (for example- labelStudio) to coordinate between multiple annotation formats and annotation teams

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Other

Industries

• IT Services and IT Consulting

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