On-site

AI Developer, Digital Enterprise

Full-timePosted 21 Aug

Salary: Not disclosed
Experience: 3–6 years
Eligible batches: 2020 – 2023
Degree: Bachelor's, Master's
Location: On-site

About the role

Magna Automotive India is looking for an AI Developer to lead the design, build and operation of enterprise‑grade AI/ML platforms. You will own the full lifecycle of AI services, from infrastructure provisioning and MLOps pipelines to production deployment and ongoing optimisation, working alongside architects, data scientists, DevOps engineers and product owners.

Responsibilities

Design, develop and maintain AI/ML platform components such as training clusters, feature stores, inference services, GenAI, vision and NLP pipelines.
Implement infrastructure‑as‑code using Terraform or ARM templates and manage containerised workloads with Docker, Kubernetes and Helm.
Create CI/CD pipelines (GitLab CI, Argo CD, MLflow) for automated model training, testing and release.
Integrate AI services with existing systems via APIs, messaging and data pipelines (Kafka, Azure Data Factory, Databricks, Beam).
Monitor model performance, drift and system health; build alerting and incident‑response runbooks.
Write reusable code libraries in Python, C# and Java and document designs, SOPs and runbooks.

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Eligibility

Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering or a related discipline.
Minimum 3 years of software engineering experience, with at least 2 years focused on AI/ML platform development.
Strong command of English, both spoken and written.

Skills

Advanced Python (async, multithreading) and familiarity with C# or Java.
Cloud services expertise (AWS, Azure) and container orchestration (Docker, Kubernetes, Helm).
Infrastructure‑as‑code (Terraform, ARM templates) and MLOps tools (GitLab CI, Argo CD, MLflow).
Machine‑learning frameworks: TensorFlow, PyTorch, scikit‑learn.
Data‑engineering tools: Kafka, Azure Data Factory, Databricks, Beam.
Observability stacks: Azure Monitor, Prometheus, Grafana, ELK.
Experience with LLM/agentic workflows using LangChain or LangGraph.

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Asked for

Python
C#
Java
Docker
Kubernetes
Terraform
Mlflow
TensorFlow
PyTorch
Kafka

Nice to have

Helm
Argo CD
LangChain
Prometheus
Grafana

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Benefits

Dynamic, innovation‑focused environment within a global mobility technology leader.
Opportunities for continuous learning in emerging AI/ML and platform engineering trends.
Collaborative cross‑functional teams and exposure to cutting‑edge automotive projects.

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About Magna Automotive India

Magna Automotive India designs and manufactures automotive components and systems, including body structures, ADAS, and electric vehicle technologies. It serves global vehicle manufacturers from its Indian operations. The company is recognized as a Great Place to Work for its high‑trust culture.

1001-5000 employees · HQ Chengalpattu, India

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