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.
Tech Stack
Tools & technologiesCloudPythonScikit-Learn
About the role
Key responsibilities & impact- Build AI-powered systems using NLP, LLMs, and agentic workflows
- Develop NLP solutions for tasks such as text classification, entity extraction, intent detection, summarization, and sentiment analysis
- Design and implement agentic AI systems that reason over conversations, historical data, and business rules
- Apply traditional machine learning techniques for prediction, classification, and optimization
- Use operations research techniques (optimization, heuristics, simulations) to support logistics and operational decision-making
- Collaborate with product, engineering, operations, and commercial teams to translate business problems into data science solutions
- Build end-to-end pipelines: data ingestion, feature engineering, modeling, evaluation, deployment, and monitoring
- Deploy models and AI services to production using cloud platforms and modern MLOps practices
Requirements
What you’ll need- 1–3 years of experience in Data Science, Machine Learning, or applied AI roles
- Strong foundation in data science and statistics
- Solid experience with traditional machine learning (e.g., regression, tree-based models, clustering, time series)
- Strong Python skills and familiarity with common ML/NLP libraries (scikit-learn, spaCy, NLTK, Hugging Face, etc.)
- Understanding of software engineering fundamentals (APIs, version control, testing)
- Hands-on knowledge of NLP: Text preprocessing and feature extraction, Classical NLP models and modern embeddings, Experience with tasks like classification, NER, topic modeling, or text similarity, Experience working with LLMs for NLP tasks (prompting, fine-tuning or adaptation, chaining, tool usage)
Benefits
Comp & perks- Ownership, autonomy, and collaboration in a fast-growing tech environment
- Build high-impact AI, ML and Decision Support systems used daily by operations and commercial teams
- Grow your skills in AI and Data Science
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
NLPLLMstext classificationentity extractionintent detectionsummarizationsentiment analysismachine learningPythondata science
Soft Skills
collaborationproblem-solvingcommunicationteamworkadaptability
