AI/ML Engineer driving AI transformation at Nimonik by designing and implementing innovative AI solutions. Collaborating with teams to leverage regulatory databases and enhance software capabilities.
Responsibilities
Collaborate with various teams to define business requirements
Serve as a technical center of excellence for AI and ML initiatives
Design, develop, and deploy AI solutions in production using traditional ML models, RAG + LLMs, fine-tuned LLMs, and agentic systems
Identify data collection and annotation needs, and ensure datasets are properly prepared for training and fine-tuning models
Evaluate and benchmark AI models using appropriate performance metrics for accuracy, efficiency, and business relevance
Collaborate with software engineers to integrate AI applications into Nimonik’s platform.
Stay up to date with the latest advancements in AI, experiment and apply them
Document code, methodologies, and experiments, and contribute to the knowledge sharing within the team
Participate in SR&ED reporting.
Requirements
1+ years of relevant experience in AI software development and machine learning engineering, including experience with:
Cloud platforms (preferably, AWS and its services like Amazon Bedrock, SageMaker, Lambda, OpenSearch etc.)
SQL (e.g., PostgreSQL)
API development (FastAPI, Flask, etc.)
ML tools such as PyTorch, Tensorflow, HuggingFace, etc.
Training, fine-tuning, evaluating, and deploying BERT and similar transformer-based models
Open source and proprietary LLMs such as Claude, GPTs, and Qwen
Open source and proprietary vector databases such as OpenSearch, Weaviate and Pinecone
Implementation of RAG pipelines using LangChain or similar frameworks
MCP and agentic LLM systems
Deployment of AI applications with a focus on data privacy and security.
Excellent skills in Python software development
Ability to think out of the box, design AI solutions based on the newest technology, and deliver the results.
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