
AI Machine Learning Engineer
LS Solutions
Job description
Role Overview:
Lead the design, development, and deployment of advanced AI and machine learning solutions for automotive R&D, focusing on production-grade AI for vehicle development, simulation, manufacturing quality, and digital twins. Mentor engineers and collaborate with CAE, CAD, manufacturing, and data platform teams to deliver end-to-end AI solutions.
Key Responsibilities
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Develop and validate impactful AI/ML solutions for automotive engineering and manufacturing use cases.
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Design and implement AI surrogate models using Graph Convolutional Neural Networks (GCNNs) to augment physics-based CAE.
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Architect and deploy scalable cloud-based AI systems on AWS/Azure, ensuring compliance with enterprise governance.
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Manage the full AI lifecycle: data ingestion, feature engineering, training, deployment, and monitoring.
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Implement MLOps and GenAIOps best practices, including versioning, drift detection, CI/CD, and traceability.
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Create agentic AI solutions for CAE workflows and support ETL activities related to ADC data.
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Establish design standards, ensure code quality, and document processes for reuse and auditability.
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Mentor and guide mid-level and junior engineers.
Qualifications & Skills
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Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field, or equivalent experience.
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8+ years of experience developing and deploying ML/AI systems; 3+ years in production environments.
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Hands-on expertise with graph neural networks (GCNNs, GNNs), advanced Python skills, and familiarity with C++/Java.
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Proficiency with ML frameworks like PyTorch, TensorFlow, scikit-learn.
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Experience deploying AI on cloud platforms (AWS/Azure), with knowledge of containers and MLOps tools.
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Strong foundation in statistics, optimization, and numerical methods; experience with CAE or physics-informed ML is a plus.
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Prior automotive or engineering experience is advantageous.
Work Environment:
Primarily office-based with potential hybrid options; occasional travel and overtime may be required to support project milestones.