FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing, training, and deploying AI/ML models, with a strong focus on NLP, Computer Vision, and Multimodal Modelling. Proficient in Python and experienced in integrating data science solutions within the e-commerce and retail domains.
Highest-signal resume keywords
AI/ML Model DevelopmentNatural Language Processing (NLP)Python ProgrammingE-Commerce/Retail ExperienceData Science Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML Model DevelopmentNatural Language Processing (NLP)Computer VisionMultimodal ModellingData AnalysisStatistical AnalysisModel EvaluationDataset CurationMachine Learning StandardsProduction Deployment
Soft Skills
Strong Communication SkillsHigh OwnershipCommitment
Industry Keywords
E-CommerceRetailData ScienceMachine LearningExploratory Data Analysis
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Develop, train, and deploy AI/ML, NLP, and LLM models into production environments with a focus on reliability and scalability
- Conduct exploratory data analysis, build and curate datasets, run experiments, and evaluate model performance
- Integrate data science solutions into current business processes
- Follow and contribute to machine learning process standards and best practices applicable to retail
- Collaborate with senior team members and cross-functional stakeholders to translate business problems into ML solutions
- Continuously learn and apply the latest research, tools, and techniques in AI/ML
- Promote and support company policies, procedures, mission, values, and standards of ethics and integrity
Requirements
What you’ll need- Bachelor’s degree with 2+ years of relevant experience, or a Master’s degree, or a PhD in a relevant discipline
- Alternatively, 4 years’ experience in an analytics or related field
- Educational qualifications preferably in Computer Science or a strongly quantitative discipline
- Hands-on experience building AI/ML models
- Good programming skills across data science, statistical analysis, and the ML stack
- Experience with, or strong interest in, deploying AI/ML solutions to production
- Mandatory skills: NLP, Computer Vision, Multimodal Modelling, Python
- Experience building LLMs and vision-based models is good to have
- Scientific publications or intellectual property generation is good to have
- Experience with the e-commerce/retail domain is good to have
- Strong communication skills, high ownership, and commitment
Benefits
Comp & perks- Incentive awards for performance
- Maternity and parental leave
- PTO
- Health benefits
- Compensation package
- Flexibility for associates to manage their personal lives
