NielsenIQ is looking for an ML Engineer to design, develop, and fine-tune machine learning models with a focus on implementing Generative AI use cases and conducting research to advance the state-of-the-art.
What You'll Do
- Design, develop, and fine-tune machine learning models.
- Implement Generative AI use cases using frameworks like LangChain, AutoGen, or CrewAI.
- Conduct research to advance the state-of-the-art in generative AI, including exploring new algorithms, techniques, and tools.
- Work with senior team members and stakeholders to capture requirements and execute them in an Agile methodology.
- Maintain comprehensive documentation of models, experiments, and findings to facilitate knowledge sharing and reproducibility.
- Keep abreast of the latest developments in the field of AI and machine learning and apply this knowledge to current projects.
What We're Looking For
- Proficiency in the Python programming language.
- Experience developing machine learning models using Sklearn, PyTorch, or TensorFlow.
- Experience with Natural Language Processing libraries and tools such as Spark NLP, Hugging Face, or NLTK.
- Experience in any GenAI framework such as LangChain, AutoGen, or CrewAI.
- Experience with GitHub and CI/CD pipelines to deploy machine learning models.
Nice to Have
- Experience with MLOps tools like MLflow or AutoML.
- Experience with Azure Cloud.
- Experience working in an Agile model.
Technical Stack
- Python, Sklearn, PyTorch, TensorFlow, Spark NLP, Hugging Face, NLTK, LangChain, AutoGen, CrewAI, GitHub, CI/CD, MLflow, AutoML, Azure Cloud
Team & Environment
You will work along with senior team members and stakeholders.
Benefits & Compensation
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee Assistance Program (EAP)
All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws.
