Senior ML Engineer - NLP, Generative AI

Company Overview:

Essenvia is an innovative technology company specialising in Regulatory Information Management (RIM) solutions. At the forefront of technological advancements, we develop advanced technology and AI based solutions to empower businesses in the medical device industry. We are seeking highly skilled and motivated Data Scientist/ML Engineer with a strong theoretical foundation and proficiency in Large Language Models (LLM) and Generative AI.

Job Summary:
As a Senior ML Engineer focusing on LLM and Gen AI solutions, you will collaborate directly with the CTO and Product team to design and implement sophisticated applications enabling search, retrieval, and conversation through state-of-the-art language models. This role requires a combination of technical expertise and business insight to transition hypotheses and ML experiments into fully-fledged AI/ML products with real-world impact.

Key Responsibilities:

• Collaborate with cross-functional teams to understand business requirements and design end-to-end AI solutions for medical device regulatory workflows.
• Analyse and preprocess diverse datasets to extract meaningful information for AI applications, including the development of custom algorithms for document layout identification and processing.
• Extract key information from raw regulatory data and develop domain specific knowledge graphs. Implement graph-based RAG (Retrieval-Augmented Generation) solutions using LLMs like GPT, Falcon, and LLaMA.
• Fine-tune pre-trained transformer-based models for domain-specific natural language understanding, conversation, and summarization.
• Apply and research techniques to optimize existing LLM training and serving, focusing on improving model quality and performance.
• Conduct experiments and benchmarking to assess model performance and optimize hyperparameters. Optimize LM prompts and hyperparameters using various optimizers and evaluation metrics
• Streamline the development and deployment of Generative AI models using cloud infrastructure and tools such as cognitive search, VectorDB, and frameworks like LangChain, LlamaIndex, Haystack, DSPY, Semantic Kernel, Ray and AutoGen.
• Stay up-to-date with advancements in Generative AI and LLMs, applying new techniques and methodologies to enhance our models.
• Document research findings, methodologies, and model architectures. Prepare technical reports and presentations for both technical and non-technical stakeholders.
• Collaborate with engineering and ML Ops teams to transition AI innovations into scalable and reliable operational solutions.
• Ensure compliance with legal, regulatory, and organizational guidelines in the use and functioning of NLP tools and LLMs.

Qualifications:
• A Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, or a related field. Strong background in deep learning, generative models, and NLP.
• 8+ years’ experience in field of AI/ML with experience in the end-to-end development of AI products/solutions.
• Experience in handling large-scale text based datasets is highly desirable.
• Knowledge of medical device regulatory domain is preferred
• Knowledge of the latest developments in field of Generative AI and related tools and techniques
• Proficiency with relational, NoSQL, and graph databases.
• Strong programming skills in Python and familiarity with relevant AI/ML libraries and tools. Strong mathematical and statistical skills, including linear algebra, matrix operations and probability theory.
• Deep understanding of probabilistic modelling, Bayesian inference, HMM, topic modelling, sentiment analysis, NER, text classification, word embeddings, machine translation, sequence labelling, dependency parsing, information extraction, and statistical language modelling.