AI / ML Innovation Lead

Job Title : Senior AI / ML Engineer

Location : Hyderabad, India – Hybrid Remote (3 days a week onsite)

Company Overview :

Circuitry.Ai is at the forefront of artificial intelligence innovation, specializing in developing AI-driven software solutions that transform how industries operate. By harnessing the power of machine learning, predictive modelling, and generative AI , we help organizations unlock deep insights, drive automation, and make data-informed decisions at scale.

Our AI solutions have been applied across a variety of domains, including automotive OEM, warranty analytics, manufacturing intelligence , and customer experience optimization. We are passionate about building AI systems that are not only powerful but also transparent, explainable, and aligned with real-world business outcomes.

Role Overview :

As a Senior AI / ML Engineer , you will be responsible for designing, developing, and deploying end-to-end machine learning solutions that are explainable, scalable, and impactful. You will work closely with AI Engineers, data engineers, and managers to translate business requirements into actionable AI / ML models and deploy them over cloud infrastructure.

This role is ideal for someone who thrives on solving complex problems, enjoys exploring emerging technologies like GenAI frameworks , and can communicate insights effectively to both technical and business stakeholders.

Key Responsibilities :

Model Development & Explainability

• Design, develop, and deploy predictive and prescriptive ML models using state-of-the-art algorithms and tools.
• Implement explainable AI (XAI) frameworks to ensure transparency, interpretability, and trust in model predictions.
• Evaluate model fairness, bias, drift, and performance over time;

recommend retraining orimprovements.

End-to-End ML Engineering

GenAI & Emerging Tech Integration

Data Analysis & Research

Collaboration & Mentorship

Qualifications : Required Skills :

proficient with key ML / data libraries (pandas, scikit-learn, TensorFlow / PyTorch, SHAP / LIME).

Preferred / Nice to Have :