Company Overview
CommerceIQ’s AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through insights that optimize the digital shelf, increase retail media ROI and fuel incremental sales across the world’s largest marketplaces. With a global network of more than 900 retailers, our end-to-end platform helps 2,200+ of the world’s leading brands streamline marketing, supply chain, and sales operations to profitably grow market share in more than 50 countries.
Learn more at commerceiq.ai.
Company Overview
At CommerceIQ, we help consumer brands accelerate their retail ecommerce market share growth and profitability through machine learning algorithms. We are building the world’s most complete and sophisticated Retail Ecommerce Management Platform, which connects and intelligently automates the management of retail ecommerce channels like Amazon, Walmart, and Instacart, across the entire ecommerce operational chain of retail media management, sales operations, supply chain, and digital self analytics.We are in hyper growth mode, having recently raised our Series D funding at unicorn valuation (>$1B) and ended our third year of triple-digit revenue growth.
Continued acceleration of our growth is fueled by landing new customers, expanding our platform through new products, managing new retail ecommerce platforms, and delivering exceptional customer service to unlock high net retention rates.
What You’ll Be Doing
As a Lead ML Engineer in the Data Science team, you will work closely with the engineering, product, and operations teams to build state-of- the-art ML based solutions for B2B SaaS products. This will entail applying advanced ML algorithms at scale for core products and developing robust end to end production pipelines which includes Human-in-the-Loop component to boost the quality. In this role, you will find innovative ways to apply emerging technologies to improve business processes and drive more value for customers.
The ideal candidate will have a strong background in machine learning model development, natural language processing and understanding, and data analysis which they can utilize to manage and improve our company’s AI/ML initiatives.
- Architect and Own multiple AI driven end to end pipelines that allows for deployment and scalability of machine learning models
- Build tools and capabilities that help with data ingestion to feature engineering, data management and organization
- Build tools and capabilities for scalability through distributed optimization
- Deploy cutting edge algorithms like LLMs etc. on GPUs at scale
- Work with stakeholders on the research and software engineering side of the company to understand how to support their teams
- Build tools and capabilities for model management and model performance monitoring
- Build operating services at scale with high availability and reliability
- Propose and implement the best engineering practices for scaling ML-powered features, with a goal to enable the fast iteration of and efficient experimentation with novel features
- Contribute and influence the ML infrastructure roadmap in collaboration with Data Science team
What we are looking for -
- Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 5+ years of experience in solving of experience in machine learning engineering problems
- Experience and understanding of the entire machine learning pipeline from data ingestion to production
- Experience with machine learning operations, software engineering, and architecture
- Experience with large-scale systems including parallel computing and GPUs
- Experience architecting and building an AI pipelines that supports productionization of ML models
- Experience with MLOps systems
- Strong programming skills in a scientific computing language such as Python, SQL
- Experience using frameworks for machine learning and data science like scikit-learn, pandas, NumPy
- Experience working with ML tools such as Tensorflow, Keras, and Pytorch
- Ability to take successful, complex research ideas from experimentation to production
- Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams
- Good depth and breadth in machine learning (theory and practice), optimization methods, data mining, statistics and linear algebra
Why you will love to work with us -
We have multiple brands, which are among the biggest brands operating on amazon, as our customers. You will be responsible for working with their data and developing models and algorithms to drive lift in tune of hundreds of thousands of dollars.
- Opportunity to work on cutting edge technologies in text and images data like LLMs, OCR, transformer based embeddings models
- Deploy code using the most sophisticated tech stack like AWS, GCP etc.
- You will own projects end to end i.e., from exploration to final production
- You will be empowered to make decisions. It implies more responsibilities but high learning
- Immense opportunities to learn and develop ML based SaaS products for brands and get company-wide recognition
- Forget endless meetings. Get things done and start making an impact from day 1
- Work hard, have amazing fun, create history, build the future of eCommerce
- Start-up environment with a strong culture and values to accelerate your career
Company Overview
CommerceIQ’s AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through insights that optimize the digital shelf, increase retail media ROI and fuel incremental sales across the world’s largest marketplaces. With a global network of more than 900 retailers, our end-to-end platform helps 2,200+ of the world’s leading brands streamline marketing, supply chain, and sales operations to profitably grow market share in more than 50 countries.
Learn more at commerceiq.ai.
