Principal Forward Deployed AI Engineer

About Xformics Inc.

Xformics Inc. is a global product and strategic consulting company with a strong presence across the USA, Canada, Europe, and India. Guided by a leadership team with roots in GE, Oracle, and IBM, we deliver advanced AI and digital solutions that tackle complex, niche challenges across industries. From predicting jet engine failures to optimizing supply chains with end‑to‑end order fulfillment, our innovations drive measurable impact.

With a strong and growing focus on the retail industry, Xformics partners with leading retailers to drive measurable outcomes across merchandising, marketing, supply chain, and digital commerce through a combination of advanced technology solutions and AI-led innovation.

Our clients include leading Fortune 100 companies in Retail, Manufacturing, and Healthcare. At Xformics, we don’t just solve today’s problems—we help shape the technologies that define tomorrow. Join us and be part of building the future.

Job Title: Principal Forward Deployed AI Engineer (Retail/E-commerce)

Location: India (Remote Working)

Role Overview

As a Principal Forward Deployed AI Engineer, you will operate at the intersection of Product Management, AI Engineering, and Software Engineering. You will be responsible for building and scaling production-grade machine learning systems, owning the end-to-end lifecycle of ML solutions from data and modelling through deployment and continuous optimization.

You will work on high-impact problems across recommendation systems, advanced machine learning, forecasting, optimization, and agentic AI workflows, while contributing to the development of a scalable ML platform. A critical expectation of this role is the ability to leverage modern AI tools, Large Language Models (LLMs), and agentic systems to accelerate development, improve productivity, and enhance solution quality, while maintaining engineering rigor and correctness.

What You’ll Do

Leverage AI to Accelerate Development (Core Requirement)

• Leverage AI tools (e.g., code assistants, LLMs, agent-based workflows) to:
• Rapidly prototype solutions and reduce development cycles
• Assist in code generation, debugging, and refactoring
• Automate repetitive data and modeling tasks
• Apply judgment and validation rigor to ensure correctness and production readiness of AI generated code
• Integrate AI-assisted workflows into the ML development lifecycle (data → model → deployment)
• Continuously evaluate new AI capabilities and incorporate them where they create real leverage

Build & Deploy Machine Learning Systems

• Design and develop scalable ML models for real-world applications
• Work on use cases like product matching, personalization, forecasting, and optimization
• Translate business problems into measurable ML objectives and KPIs

Own the ML Lifecycle (ML Ops)

• Build data pipelines, training workflows, and deployment systems
• Implement CI/CD for ML and automate model deployment
• Develop model monitoring systems (drift, performance, health indicators)

Develop ML Platforms

• Contribute to a general-purpose ML platform supporting multiple use cases
• Work with cloud infrastructure (Azure/AWS) to enable scalable ML operations

Ensure Production Quality

• Write clean, modular, and testable Python code
• Collaborate with engineering teams to integrate models into production systems
• Establish best practices for reproducibility, versioning, and experimentation

Drive Business Impact

• Measure and report model performance against business KPIs
• Generate insights from structured and unstructured data
• Build dashboards and communicate results to stakeholders

Collaborate & Lead

• Partner with Product, Engineering, and Business teams to scope, design, and deploy advanced AI solutions tailored to the retail and e-commerce sectors.
• Provide technical guidance and mentor junior team members
• Contribute to architecture decisions and technical roadmap

What We’re Looking For

Experience

• 8-13 years of experience with at least 8+ years of experience in Data Science / Machine Learning, with demonstrated ownership of production ML systems.
• Proven experience deploying ML models into production environments

Technical Skills

• Strong Python programming skills
• Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Solid understanding of data pipelines and distributed systems (e.g., Spark)

ML Ops & Cloud

• Experience with ML deployment pipelines and monitoring
• Hands-on experience with Azure or AWS (Databricks, SageMaker, etc.)

Machine Learning Expertise

• Strong foundation in ML algorithms, LLMs, Agent driven architectures and advanced statistical modeling
• Experience with recommendation systems, forecasting, or optimization
• Exposure to causal inference or econometrics is a strong plus

Nice to Have

• Experience building ML platforms (not just models)
• Background in retail, e-commerce, or financial services
• Experience with NLP and agent development and deployment in production
• Familiarity with large-scale enterprise data environments

Why Join Us

• Work on real-world, high-impact AI systems (not just prototypes)
• Build scalable ML infrastructure and platforms
• Collaborating with a team focused on engineering rigor and production excellence
• Opportunity to solve complex problems with measurable business outcomes