Research Analyst , RBS Packaging UDE
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Job Location:
Monthly Salary:
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
As a Research Analyst you will implement classical ML models and LLM based inferences to solve defined problems. Youll work closely with senior scientists and engineers contributing to model development evaluation and optimization.
Key job responsibilities
Implement machine learning models (classical ML covering classification and regression models) using Python and ML frameworks
Develop and iterate prompts for LLMs using few-shot CoT and instruction-based techniques
Conduct offline evaluations and benchmarking / testing on LLM and ML outputs
Collaborate with engineers to deploy models in production and monitor performance
Document experiments and results; participate and brief milestones in weekly sprint planning and model reviews
Expectations
Demonstrates hands-on skills in Python and ML/LLM toolkits
Understands trade-offs between Generative AI vs. Machine Learning approaches
Can deliver scoped ML components with guidance
Effective communicator and team collaborator
- Bachelors degree in a quantitative field or experience working in Science Technology Engineering or Mathematics (STEM)
- Experience that includes strong analytical skills attention to detail and effective communication abilities
- Experience working cross functionally with tech and non-tech teams
- 1 years of relevant work experience in solving real world business problems using AI/ML or applying GenAI and LLMs through prompt engineering techniques.
- Strong hands-on programming skills in Python SQL.
- Ability to creatively solve business problems innovating new approaches where required and articulating ideas to a wide range of audiences using strong data written and verbal communication skills
- Diverse experiences will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters as well as deploying models and building ML service - Technical expertise experience in AI/ML and GenAI
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Key job responsibilities
Implement machine learning models (classical ML covering classification and regression models) using Python and ML frameworks
Develop and iterate prompts for LLMs using few-shot CoT and instruction-based techniques
Conduct offline evaluations and benchmarking / testing on LLM and ML outputs
Collaborate with engineers to deploy models in production and monitor performance
Document experiments and results; participate and brief milestones in weekly sprint planning and model reviews
Expectations
Demonstrates hands-on skills in Python and ML/LLM toolkits
Understands trade-offs between Generative AI vs. Machine Learning approaches
Can deliver scoped ML components with guidance
Effective communicator and team collaborator
- Bachelors degree in a quantitative field or experience working in Science Technology Engineering or Mathematics (STEM)
- Experience that includes strong analytical skills attention to detail and effective communication abilities
- Experience working cross functionally with tech and non-tech teams
- 1 years of relevant work experience in solving real world business problems using AI/ML or applying GenAI and LLMs through prompt engineering techniques.
- Strong hands-on programming skills in Python SQL.
- Ability to creatively solve business problems innovating new approaches where required and articulating ideas to a wide range of audiences using strong data written and verbal communication skills
- Diverse experiences will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters as well as deploying models and building ML service - Technical expertise experience in AI/ML and GenAI
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
IC
Key Skills
- Spss
- Data Collection
- R
- Stata
- Research Experience
- Statistical Software
- Data Mining
- Calculus
- Market Research
- Operations Research
- SAS
- Data Analysis Skills
About Company
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