Master’s Opportunities

To apply, please contact:
Nicole Destefano, Campus Recruiter and Branding Specialist
857‑344‑1910
ndestefano@granitenet.com

Job Description:
The ideal candidate will excel at identifying and articulating complex business problems, and will develop innovative, scalable, and robust AI/ML solutions to address these challenges. Responsibilities will include designing, building, and deploying enterprise-grade AI systems, specifically focused on:

• Agentic AI solutions to automate operational processes (e.g., interpreting trouble tickets, performing basic troubleshooting, interacting with online portals, data entry).
• Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and training materials.
• Function calling solutions leveraging Large Language Models (LLMs) to automate and perform precise actions in enterprise workflows.
• Developing and applying reinforcement learning strategies to optimize and automate decision-making processes within enterprise operations.
• This role requires hands-on expertise with model fine-tuning, training pipelines, post-training optimization techniques (e.g., model distillation), classification models, and integrating AI systems within complex enterprise environments.

Duties and Responsibilities:

• Develop and implement AI solutions leveraging fine-tuned Large Language Models (e.g., OpenAI models, LLaMA, Mistral).
• Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using advanced vector databases (e.g., FAISS, Pinecone, Milvus).
• Build and enhance agentic AI systems utilizing frameworks like LangChain, AutoGPT, or similar automation frameworks.
• Deploy scalable ColBERTv2 architectures for semantic retrieval and classification.
• Create robust pre-processing and post-processing pipelines to enhance model performance, accuracy, and interpretability.
• Collaborate closely with cross-functional teams, including product managers, business stakeholders, data scientists, and software engineers.
• Implement best practices in model distillation, quantization, and optimization for deployment in production environments.
• Ensure compliance with enterprise-grade security, privacy standards, and data governance practices.

Required Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Machine Learning, AI, or related fields; advanced degree strongly preferred.
• Strong programming skills in Python, familiarity with libraries/frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain.
• Demonstrated expertise with LLM fine-tuning (e.g., LoRA, PEFT), distillation, and model optimization.
• Practical experience implementing RAG pipelines with embedding technologies and vector stores (e.g., FAISS, Pinecone).
• Proven track record building agentic AI systems capable of interacting with multiple enterprise applications and platforms.
• Solid understanding of NLP techniques, Transformer architectures, semantic search, and document retrieval technologies (e.g., ColBERT).
• Hands-on experience with reinforcement learning techniques, including designing, training, and deploying reinforcement learning models.

Preferred Qualifications:

• Master’s or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field.
• Familiarity with cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI).
• Experience with containerization (Docker, Kubernetes) and deployment pipelines (CI/CD).
• Knowledge of advanced AI frameworks and model inference engines such as Triton Inference Server, TensorRT, and ONNX.
• Familiarity with model monitoring, observability tools, and techniques to ensure long-term reliability and performance.
• Strong communication and interpersonal skills with the ability to clearly articulate complex technical solutions to non-technical stakeholders.
• Experience in regulated industries or environments requiring strict compliance and data governance standards.

New Student HACKATHONS – Solve Challenges, Learn New Tech + Win!

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Are you interested in a career in the semiconductor industry? Consider starting your career at TSMC! The company is currently hiring BU students and willing to sponsor international candidates.

Website: TSMC