Job Description
Key Responsibilities:
• Model Development: Design, develop, and fine-tune Machine Learning Models
• Generative AI: Implement Generative AI use cases using frameworks like LangChain, AutoGen, CrewAI etc
• Research: Conduct research to advance the state-of-the-art in generative AI, including exploring current algorithms, techniques, and tools.
• Collaboration: Work along with Seniors and Stake holders to capture the requirements and execute it in Agile methodology.
• Documentation: Maintain comprehensive documentation of models, experiments, and findings to facilitate knowledge sharing and reproducibility.
• Stay Updated: Keep abreast of the latest developments in the field of AI and machine learning and apply this knowledge to current projects.
Qualifications
Qualifications
Graduate with hands on expeience in Machine Learning
Must Have:
• Proficiency in Python Programming Language
• Min 2+ years of experience
• 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
Good to Have:
• Experience in MLOps Tools like MLflow, AutoML etc
• Experience in Azure Cloud
• Experience in working Agile Model.
Additional Information
Our Benefits
• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is g