Key Responsibilities:<\/span><\/span><\/span><\/b>
<\/span><\/span><\/p><\/div>- Agentic AI Development<\/span><\/span><\/span><\/b>: Work on building scalable multi\-modal Large Language Model (LLM) based AI agents, leveraging frameworks such as <\/span>LangGraph<\/span>, Microsoft <\/span>Autogen<\/span>, or <\/span>Crewai<\/span>.<\/span> <\/span><\/span>
<\/span><\/span><\/span><\/li><\/ul><\/div>- AI Research and Innovation<\/span><\/span><\/span><\/b>: Research and build innovative solutions to relevant AI problems, including Retrieval\-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine\-tuning, and reasoning in LLMs.<\/span> <\/span><\/span>
<\/span><\/span><\/span><\/li><\/ul><\/div><\/div>- Technical Expertise<\/span><\/span><\/span><\/b>: <\/span>Proficiency<\/span> in a technology stack that includes Python, <\/span>LlamaIndex<\/span> / <\/span>LangChain<\/span>, <\/span>PyTorch<\/span>, <\/span>HuggingFace<\/span>, <\/span>FastAPI<\/span>, Postgres, <\/span>SQLAlchemy<\/span>, Alembic, OpenAI, Docker, Azure, Typescript, and React.<\/span><\/span><\/span> <\/span><\/span>
<\/span><\/span><\/span><\/li><\/ul><\/div>- LLM and NLP Experience<\/span><\/span><\/span><\/b>: Hands\-on experience working with LLMs, RAG architectures, Natural Language Processing (NLP), or applying Machine Learning to solve real\-world problems.<\/span><\/span><\/span> <\/span><\/span>
<\/span><\/span><\/span><\/li><\/ul><\/div>- Dataset Development<\/span><\/span><\/span><\/b>: Strong <\/span>track record<\/span> of building datasets for training and/or evaluating machine learning models.<\/span><\/span><\/span> <\/span><\/span>
<\/span><\/span><\/span><\/li><\/ul><\/div>- Customer Focus<\/span><\/span><\/span><\/b>: Enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer.<\/span><\/span><\/span> <\/span><\/span>
<\/span><\/span><\/span><\/li><\/ul><\/div>- Adaptability<\/span><\/span><\/span><\/b>: Thrive in a fast\-paced environment and are excited about joining an early\-stage venture.<\/span><\/span><\/span> <\/span><\/span>
<\/span><\/span><\/span><\/li><\/ul><\/div>- Model Deployment and Management<\/span><\/span><\/span><\/b>: Automate model deployment, monitoring, and retraining processes.<\/span><\/span><\/span> <\/span><\/span>
<\/span><\/span><\/span><\/li><\/ul><\/div>- Collaboration and Optimization<\/span><\/span><\/span><\/b>: Collaborate with data scientists to review, refactor, and optimize machine learning code.<\/span><\/span><\/span> <\/span><\/span>
<\/span><\/span><\/span><\/li><\/ul><\/div>- Version Control and Governance<\/span><\/span><\/span><\/b>: Implement version control and governance for models and data.<\/span><\/span><\/span> <\/span><\/span>
<\/span><\/span><\/span><\/li><\/ul><\/div> <\/span><\/span>
<\/span><\/span><\/p><\/div>Required <\/span>Qualifications:<\/span><\/span><\/span><\/b>
<\/span><\/span><\/p><\/div>- Bachelor's degree in computer science<\/span>, Software Engineering, or a related field<\/span><\/span><\/span> <\/span><\/span>
<\/span><\/span><\/span><\/li><\/ul><\/div>- 5\-<\/span>8<\/span> years of experience in <\/span>MLOps<\/span>, DevOps, or related roles<\/span><\/span><\/span> <\/span><\/span>
<\/span><\/span><\/span><\/li><\/ul><\/div>- Have strong programming experience and familiarity with Python based deep learning frameworks like <\/span>Pytorch<\/span>, JAX, <\/span>Tensorflow<\/span><\/span><\/span> <\/span><\/span>
<\/span><\/span><\/span><\/li><\/ul><\/div>- Have strong familiarity and knowledge of machine learning concepts<\/span><\/span><\/span> <\/span><\/span>
<\/span><\/span><\/span><\/li><\/ul><\/div>
