About the company:
Avenue Code is the leading software consultancy focused on delivering end-to-end development solutions for digital transformation across every vertical. We’re privately held, profitable, and have been on a solid growth trajectory since day one. We care deeply about our clients, our partners, and our people. We prefer the word ‘partner’ over ‘vendor’, and our investment in professional relationships is a reflection of that philosophy. We pride ourselves on our technical acumen, our collaborative problem-solving ability, and the warm professionalism of our teams.
Avenue Code has been believing in and promoting plurality actions for over 10 years, understanding that recognizing differences and fostering a safe environment, employment opportunities, representation, and support are the best ways to promote an increasingly equitable culture.
About the opportunity:
We are seeking a skilled GenAI to develop, and maintain the GenAI systems and libraries. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in RAG, fine tuning, embeddings and LLMs to drive business value for multiple stakeholders while developing cutting-edge Gen AI systems and libraries.
Responsibilities:
- Design and develop custom Gen AI systems for batch and stream processing-based AI pipelines. Model components will include data ingestion, preprocessing, embedding, vectorization, retrieval, reranker, and other RAG related components.
- Embedding and Foundational model development, fine-tuning and implementation tasks. Prompt engineering capabilities to ensure the GenAI solution meets all technical and business requirements.
- Develop and maintain vectorization pipelines for data ingestion, embedding, indexing, storage and loading, ensuring efficient vector flow and retrieval processing.
- Manage and optimize vector databases, to ensure data availability and performance. Implement prompt and other security guardrails to protect sensitive data and GenAI systems.
- Monitor response quality and ensure response consistency, implementing response validation and cleansing processes.
- Collaborate with other team members, including the Tech Lead, ML/AI Engineer, and Backend Engineer, to ensure seamless data integration and processing.
- Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.
Required Qualifications:
We know that each person has gone through different career paths that have provided further knowledge. If you don’t check all the points: go ahead! Apply anyways! Your experience is much more than a technology checklist.
- Professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions.
- Demonstrated hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, and Transformers.
- Hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures.
- Good experience with implementing information search and retrieval at scale (RAG), using a range of solutions ranging from keyword search to semantic search using embeddings.
- Knowldegde of architecting end-to-end Generative AI solutions for enterprise customers with GenAI open-source platforms, libraries and packages.
Nice to Have:
However, if you have the following requirements, it will be a plus for your application:
- Experience with contributing to Github and open source initiatives or in research projects and/or participation in Kaggle competitions.
Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA. The Candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions. As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the CompassUol Group to which Avenue Code’s consultants are allocated to perform its services.
#Li-Remote