AI Developer, Digital Enterprise
Magna International Inc.2 months ago
Bengaluru, IndiaMid Level
Responsibilities
- Design, build, and maintain AI/ML platform components such as training clusters, feature stores, inference services, GenAI, vision, RAG, and NLP capabilities.
- Develop and manage infrastructure-as-code for scalable deployments using Terraform and ARM templates.
- Implement and operate pipelines for automated model training, testing, and deployment.
- Integrate AI services with existing systems through APIs, messaging, and data pipelines.
- Monitor performance, reliability, and model drift, and establish alerting and incident-response runbooks.
- Optimize systems through capacity planning, performance tuning, and disaster-recovery strategies.
- Write and maintain reusable code and libraries in C#, Python, and Java.
- Collaborate with architecture, data science, DevOps, security, and product teams and document system designs and standard operating procedures.
- Lead demos, technical deep dives, and knowledge-sharing sessions and translate technical concepts for business stakeholders.
Requirements
- Bachelor’s or master’s degree in Computer Science, Electrical/Computer Engineering, or a related field.
- At least 3 years of software engineering experience, including at least 2 years building and operating AI/ML platforms.
- Proven experience delivering production-grade AI services at scale.
- Proficiency with cloud platform services for compute, storage, and networking, including AWS or Azure.
- Hands-on experience with Docker, Kubernetes, and Helm.
- Experience building MLOps pipelines with GitLab CI, Argo CD, and MLflow.
- Advanced Python skills, including asynchronous programming and multithreading, with familiarity with C# or Java.
- Experience designing RAG and agentic workflows using LangChain and LangGraph.
- Deep knowledge of TensorFlow, PyTorch, and scikit-learn.
- Experience with Kafka, Azure Data Factory, Databricks, and Beam for data ingestion and processing.
- Experience implementing observability and alerting with Azure Monitor, Prometheus, Grafana, or ELK.
- Understanding of data-pipeline security and GDPR/CCPA implications.
- Excellent spoken and written English, problem-solving, decision-making, communication, documentation, presentation, and cross-functional collaboration skills.
- Ability to stay current with AI/ML, MLOps, and platform-engineering trends.
Benefits
- Regular, permanent employment.
- No travel required.
- Engaging and dynamic global work environment focused on automotive and mobility technology.
- Employee support, resources, and development prospects.
- Equal opportunity employer.
- AI-assisted application screening is performed internally, with applicant data kept within company systems.
Tech Stack
Apache BeamApache KafkaArgo CDAWSAzureC#DatabricksDockerGitLab CI/CDGrafanaHelmJavaKubernetesMLflowPrometheusPythonPyTorchscikit-learnTensorFlowTerraform
Categories
About Magna International Inc.
Magna International is a public Canadian automotive supplier that designs and manufactures vehicle systems, modules, and electronics for global automakers, and also builds complete vehicles through Magna Steyr. Founded in 1957 and headquartered in Aurora, Ontario, it operates worldwide as a Tier-1 supplier across body, seating, powertrain, ADAS, and electrification. Its common shares trade on the TSX (MG) and NYSE (MGA).