Weekday AI
LeadAimlEngineer
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“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.
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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