Lead ML Engineer

NielsenIQ

18h

About The Position

The Lead ML Engineer at NIQ is responsible for designing, developing, and fine-tuning Machine Learning Models, with a strong emphasis on implementing Generative AI use cases using frameworks such as LangChain, AutoGen, and CrewAI. This role involves conducting research to advance the state-of-the-art in generative AI, collaborating with senior team members and stakeholders to gather requirements, and executing projects using an Agile methodology. The engineer will also be expected to maintain comprehensive documentation of models, experiments, and findings to ensure knowledge sharing and reproducibility, and to stay updated on the latest developments in AI and machine learning to apply this knowledge to current projects. NIQ is a global consumer intelligence company, formed by the combination of NIQ and GfK in 2023, operating in over 100 markets. The company is committed to diversity, equity, and inclusion and utilizes AI tools in its recruitment process, adhering to principles of fairness, transparency, human oversight, and inclusion.

Requirements

• Proficiency in Python Programming Language
• Experience in Developing Machine Learning models using Sklearn/PyTorch/TensorFlow
• Experience with Natural Language Processing (NLP) libraries and tools such as Spark NLP, Hugging Face, NLTK etc.
• Experience in any GenAI framework such as LangChain, AutoGen or CrewAI etc
• Experience in Github and CI/CD pipelines to deploy the Machine Learning Models

Nice To Haves

• Experience in MLOps Tools like MLflow, AutoML etc
• Experience in Azure Cloud
• Experience in working Agile Model.

Responsibilities

• Design, develop, and fine-tune Machine Learning Models
• Implement Generative AI use cases using frameworks like LangChain, AutoGen, CrewAI etc
• Conduct research to advance the state-of-the-art in generative AI, including exploring new algorithms, techniques, and tools.
• Work along with Seniors and Stake holders to capture the requirements and execute it in 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.

Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees