This range is provided by Oved Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$115,000.00/yr - $120,000.00/yr
Who We Are
o5 group is an industry leader in global fashion & apparel design with 40+ years of success across wholesale, e-comm, and marketplace. We are privately held, HQ in NYC with brand offices in CA - a dynamic portfolio of global brands committed to operational excellence in design, product development, production, sourcing, distribution & logistics. With category expertise in full-collection menswear, womenswear, childrenswear, infant toddler; we specialize in denim, outerwear, activewear, loungewear/sleepwear, trusted by top retailers.
About the Role
We’re looking for a curious, broad-based Junior ML / AI Engineer to help shape how AI and machine learning can create leverage across a modern apparel business. This role sits within o5 group’s Technology & Innovation team and will partner closely with the Chief AI and Data Officer and cross-functional product teams.
This is a high-ownership opportunity for someone who is energized by ambiguity, enjoys solving open-ended problems, and wants to help define the roadmap—not just execute against it. You’ll contribute to early-stage exploration and practical implementation across demand forecasting, personalization, supply chain, customer experience, and internal productivity tools.
How You’ll Contribute
Explore where machine learning and AI can create the most impact across the business, then help translate those opportunities into practical use cases and prototypes.
Build and iterate on demand forecasting and inventory planning models that help reduce overproduction and stockouts.
Support personalization and recommendation initiatives across the e-commerce experience.
Develop or integrate LLM-powered tools for internal workflows, including product copy, search, customer support automation, and operational productivity.
Contribute to computer vision and visual search opportunities tied to product imagery, fit, and customer experience.
Help design AI agents and workflow automations that streamline repetitive processes across the organization.
Create and maintain data pipelines and foundational infrastructure needed to support ML / AI experimentation and deployment.
Partner cross-functionally to test ideas quickly, evaluate outcomes, and refine solutions based on business value.
What You Bring to the Team
Required:
Bachelor’s degree in computer science, data science, mathematics, or a related technical field, or equivalent practical experience.
1–3 years of professional or research experience in ML, AI engineering, or data science; coursework, bootcamp work, and independent projects may be considered alongside professional experience.
Strong Python and SQL skills.
Experience with traditional ML approaches such as scikit-learn and XGBoost.
Hands-on experience with model training, evaluation, and tuning.
Working knowledge of at least one cloud platform (Azure, AWS, or GCP).
Git / version control proficiency.
Strong grounding in statistics and probability fundamentals.
Strong Plus:
LLM integration experience using platforms such as OpenAI or Anthropic.
RAG pipelines and familiarity with LangChain or LlamaIndex.
Vector databases such as Pinecone, FAISS, or Chroma.
AI agents and tool use.
PyTorch or TensorFlow.
REST API development using FastAPI or Flask.
Docker and experiment tracking tools such as MLflow or Weights & Biases.
Nice to Have:
Fine-tuning approaches such as LoRA / QLoRA.
Computer vision, NLP / text classification, time-series forecasting, or recommendation systems.
Prompt engineering, Kubernetes, and Hugging Face Transformers.
Retail / e-commerce domain knowledge.
You’ll be especially successful in this role if you are:
Comfortable with ambiguity and able to help define the work—not just wait for a fully scoped ticket.
Broadly curious across ML and AI, with the judgment to choose the right tool for the problem.
A builder who cares about shipping practical solutions, not just optimizing offline metrics.
A clear communicator who can translate technical concepts for cross-functional business teams.
Able to show what you’ve built through projects, coursework, internships, or prior hands-on work.
Why Join o5 group
Health Benefits: Medical, Dental, and Vision coverage.
401(k) + company-paid life insurance.
Paid Time Off (PTO) + company holidays.
Commuter benefits.
Hybrid/flexible schedule.
Family-oriented culture.
Responsibility & Sustainability — at o5 group this spans economic, social, and environmental impact.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Retail Apparel and Fashion
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