Lead Machine Learning Engineer
Bengaluru, Karnataka, India
CommerceIQ
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.
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Computer Science Data analysis Data management Data Mining E-commerce Engineering Feature engineering GCP Keras Linear algebra LLMs Machine Learning ML infrastructure ML models MLOps NLP NumPy OCR Pandas Pipelines Python PyTorch Research Scikit-learn SQL Statistics TensorFlow
Perks/benefits: Career development Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Research Scientist jobs
- Open Junior Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Scientist II jobs
- Open Sr Data Engineer jobs
- Open Principal Data Scientist jobs
- Open BI Analyst jobs
- Open Business Intelligence Engineer jobs
- Open Data Science Intern jobs
- Open Senior Business Intelligence Analyst jobs
- Open Sr. Data Scientist jobs
- Open Lead Data Analyst jobs
- Open Azure Data Engineer jobs
- Open Software Engineer, Machine Learning jobs
- Open Junior Data Scientist jobs
- Open MLOps Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Analytics Engineer jobs
- Open Marketing Data Analyst jobs
- Open Data Engineer III jobs
- Open Junior Data Engineer jobs
- Open Data Engineering Manager jobs
- Open Product Data Analyst jobs
- Open Data Analyst II jobs
- Open Privacy-related jobs
- Open GCP-related jobs
- Open Tableau-related jobs
- Open Excel-related jobs
- Open ML models-related jobs
- Open Data pipelines-related jobs
- Open APIs-related jobs
- Open PhD-related jobs
- Open PyTorch-related jobs
- Open Finance-related jobs
- Open LLMs-related jobs
- Open TensorFlow-related jobs
- Open Deep Learning-related jobs
- Open Data visualization-related jobs
- Open Consulting-related jobs
- Open Generative AI-related jobs
- Open Business Intelligence-related jobs
- Open Data governance-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs
- Open Git-related jobs
- Open Docker-related jobs
- Open Snowflake-related jobs