Uplers
Website:
uplers.com
Job details:
Experience: 3.00 + years
Salary: Confidential (based on experience)
Expected Notice Period: 30 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Office ()
Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: AI-powered revenue-optimization platform)
(*Note: This is a requirement for one of Uplers' client - AI-powered revenue-optimization platform)
What do you need for this opportunity?
Must have skills required:
MLOps tools, PyTorch, RL, TensorFlow, AWS, GCP, Python, JavaScript, Node.js, React Js, GenAI, LLM, Large Language Models (LLMs), Artificial Intelligence, Machine Learning, ML, Forecasting, anomaly detection, semantic search, E2e application development, Agentic AI, Statistical Modeling, prompt workflow
AI-powered revenue-optimization platform is Looking for:
AI Product Engineer
We are building agentic AI to help eCommerce brands scale smarter and protect revenue. Our platform proactively detects and acts on what breaks growth—misfiring pixels, broken tracking, underperforming funnels.
We combine
GenAI, classic ML, and optimization to surface insights, recommend fixes, and deploy autonomous agents that take action across the stack.
We’re a post-product, post-revenue startup backed by SF-based investors, with a team from
Google, PayPal, eBay, and alumni of
Stanford, Berkeley, and Booth.
The Role
As an
AI Product Engineer, you’ll help design, build, and ship intelligent systems that drive business-critical insights and decisions for high-growth DTC brands and agencies.
You’ll work across the full lifecycle—from data pipelines and modeling to LLM integrations and agent deployments. This role blends engineering, applied ML, and product thinking to deliver
real-time, high-leverage outcomes.
You’ll collaborate closely with founders, PMs, and GTM teams to prioritize what matters, move fast, and learn from real users.
Your Impact
- Design and deploy AI agents that diagnose funnel issues, trigger actions, and improve outcomes
- Build and optimize ML models for forecasting, anomaly detection, root-cause analysis and causal inference
- Integrate LLMs, prompt workflows, and semantic search into customer-facing features
- Understand and contribute to E2E application development in terms of delivering customer features (from data extraction, analysis, APIs & front-end components)
- Own ML workflows end-to-end: data prep, training, evaluation, deployment, and monitoring
- Translate messy data and ambiguity into clean, scalable intelligence
What You Bring
- 3–6 years of experience in ML or applied AI, preferably in product or startup environments
- Strong in Python and building production-grade ML systems
- Understanding of overall application stack including Node.js backends & React frontends
- Deep understanding of statistical modeling, A/B testing, and impact measurement
- Familiarity with GenAI, vector databases, and building agentic applications
- Ability to move independently and align quickly—bias toward speed, iteration, and clarity
Nice to Have
- Experience with PyTorch, TensorFlow, or MLOps tools (Vertex, SageMaker, etc.)
- Exposure to marketing optimization, attribution, or funnel analytics
- Knowledge of Bayesian methods, RL, or bandit algorithms
- Understanding of Cloud platform components (GCP, AWS) and experience with Kubernetes
How to apply for this opportunity?
- Step 1: Click On Apply! And Register or Login on our portal.
- Step 2: Complete the Screening Form & Upload updated Resume
- Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
Click on Apply to know more.