Senior Data Scientist

About Logiciel.io :

Logiciel.io is a fast-growing AI solutions partner helping mid-market companies transform operations through agentic AI and outsourced software innovation. We specialize in delivering intelligent automation, modern SaaS platforms, and agent based systems for industries like Home Improvement, Real Estate, and Construction - with engineering delivery based in India.

Mode Of Work : Hybrid/Remote

Job Overview :

We are seeking a skilled and innovative Generative AI Engineer to join our team and lead the development of a voice-enabled multi-agent orchestration system. This system will interact with graph databases as a knowledge base to deliver high-quality, meaningful results. The ideal candidate will have hands-on experience with LangGraph, LangChain, Large Language Models (LLMs), and a strong understanding of multi-agent architectures and retrieval-augmented generation (RAG).

Key Responsibilities :

- Exp in developing various products / applications using Generative AI models that produce original content such as text, audio, video, graphics/images for different industry verticals

- Exp in using frameworks like Lang Chain, Llama index, Semantic Kernel

- Exp in working on concepts like RAG & Model Tuning

- 5+ years of experience in developing and deploying end-to-end AI/ML solutions in the AWS production environment.

- DevOps practices, CI/CD pipelines, and infrastructure as code facilitates seamless deployment and management of AI models in production environments.

- Proficiency in Python programming and experience with data handling, preprocessing, and model architecture design.

- Strong understanding of statistics and research skills, with the ability to apply mathematical concepts to solve complex problems.

- Demonstrated knowledge of NLP techniques and applications for text processing and analysis.

- Excellent communication skills and the ability to collaborate effectively with cross- functional teams.

- Proven track record of delivering high-quality solutions within defined timelines.

Good To Have Skills :

- Knowledge of Reinforcement Learning

- Proficiency in data visualization and interpretation aids in communicating insights from generative AI models to stakeholders effectively.

- Understanding transfer learning techniques accelerates model development and improves performance, especially with limited data.

- Awareness of regulatory requirements, ethical considerations, and privacy concerns ensures compliance and responsible use of generative AI technologies.

- Deeper expertise in GAN architectures and applications enhances proficiency in developing and optimizing generative AI models.

- Familiarity with additional generative AI libraries and frameworks like Hugging Face Transformers, OpenAI's GPT, or NVIDIA's StyleGAN provides alternative tools and approaches for model development.Key Responsibilities Areas -

- Build various applications / products using Generative AI models capable of generating original content across various domains, including text, images, and music.

- Develop and deploy end-to-end AI/ML solutions in the AWS production environment, with a focus on generative AI models.

- Utilize NLP techniques for text representation, semantic extraction, information retrieval, entity resolution, NER, knowledge extraction, data structures, and modelling.

- Collaborate with cross-functional teams to gather requirements, design solutions, and implement models that meet business objectives.

- Conduct research and stay updated on the latest advancements in AI/ML, Large Language Models, and Generative AI.

- Work closely with stakeholders to understand their needs and translate them into technical requirements and solutions.

- Ensure the scalability, reliability, and performance of deployed AI/ML solutions on AWS cloud servers