G2i/ICA

Agency hiring for a client through a fast-lane process. Permanent full-time position. US work authorization is needed due to the Public Trust Clearance requirement. General Requirements - Experience - 7 to 8 years of overall professional experience in data science, analytics, or a related field - At least 2–3 years of hands-on experience specifically focused on Large Language Models (LLMs) and related techniques (e.g., fine-tuning, instruction tuning, prompt engineering). - Ability to obtain a Public Trust Clearance (Required for the role) - Must be authorized to work in the United States. Technical Proficiency: - Coding knowledge and experience with at least one of the following languages: Python, C, R, Java, Scala, with strong proficiency in Python being highly preferred. - Proven ability to use statistical computer languages (Python, R, SQL, etc.) for data manipulation, analysis, and model development. - Knowledge of ML and data mining techniques (Regression, Deep Learning, NLP, Time Series Analysis, Social Media Analysis, etc.). - Familiarity with AWS services (Athena, S3, Glue, SageMaker, Comprehend, Bedrock) for scalable model development. - Preferred: exposure to MLOps tools, big data technologies (Hadoop, Spark), or other cloud services. LLM-Focused Skills (Desired, not all required): - PEFT (LoRA/QLoRA) for efficient model fine-tuning. - Instruction Fine-tuning, Retrieval-Augmented Generation (RAG), Chain-of-Thought (CoT)/Tree-of-Thought (ToT). - Quantization, Pruning, and Knowledge Distillation strategies for model optimization. - Experience with Hugging Face Transformers, LangChain, Llama Index, and/or large-scale training frameworks. - Familiarity with LLM evaluation, interpretability, and best practices.