Weekday AI

LeadAimlEngineer

₹50–60L Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead Aiml Engineer at Weekday AI. Skills: Machine Learning, AI solutions, MLOps, Production deployment. Lead end-to-end development of ML and AI solutions. Build scalable and reusable ML pipelines”

What You'll Achieve.

Create measurable business impact; Deliver measurable business outcomes

Industry & Context.

Problems you'll solve

Problem-solving capabilities

What They're Looking For.

Must Have

8+ years of experience, Expertise in machine learning algorithms, Advanced programming skills in Python, Deep knowledge of SQL

Nice to Have

PhD preferred, Cloud platform certs

What You'll Do.

Lead end-to-end development of ML and AI solutions

Build scalable and reusable ML pipelines

Translate business requirements into AI strategies

Design and implement advanced analytics solutions

Collaborate with Data Engineers and Software Engineers

Integrate AI models into business applications

Establish and manage MLOps practices

Ensure model reliability

Monitor production systems for performance

Mentor and guide Data Scientists and ML Engineers

Contribute to AI platform architecture decisions

Define enterprise-wide standards for ML development

Drive innovation through adoption of emerging AI technologies

How You'll Work.

Team & Collaboration

Product teams; Engineering teams; Data teams; Business teams; Cross-functional collaboration

Communication Scope

Stakeholder management

Full Job Description

**This role is for one of the Weekday's clients** **Salary range: Rs 5000000 - Rs 6000000 (ie INR 50-60 LPA)** Experience: 8+ yrs Location: Bengaluru Job Type: full-time We are seeking an experienced Lead AI Engineer / Lead Data Scientist to lead the design, development, deployment, and optimization of enterprise-scale AI and Machine Learning solutions. This role combines deep technical expertise with leadership responsibilities, enabling the successful delivery of advanced analytics, predictive modeling, and AI-driven products that create measurable business impact. You will work closely with product, engineering, data, and business teams to transform complex business challenges into scalable AI solutions. The ideal candidate is passionate about building production-grade machine learning systems, driving AI innovation, and establishing best practices across the AI lifecycle, from experimentation to deployment and monitoring. **Requirements** ### Key Responsibilities * Lead the end-to-end development of Machine Learning and AI solutions, including model design, training, validation, deployment, and monitoring. * Build scalable and reusable ML pipelines for data preparation, feature engineering, model training, evaluation, and production deployment. * Translate business requirements into effective AI strategies, predictive models, and deployment roadmaps. * Design and implement advanced analytics solutions such as forecasting, recommendation systems, anomaly detection, classification models, and optimization engines. * Collaborate with Data Engineers and Software Engineers to integrate AI models into business applications, APIs, and operational workflows. * Establish and manage MLOps practices, including experiment tracking, model versioning, CI/CD pipelines, automated deployments, monitoring, drift detection, retraining, and rollback strategies. * Ensure model reliability, scalability, explainability, and governance while maintaining high standards for quality and c

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