AIMl Lead
6 days ago
Hiring: AI/ML Lead / AI/ML Architect – Chennai
We are looking for highly skilled AI/ML professionals for two key positions —
AI/ML Lead (8+ years) and AI/ML Architect (13+ years)
— to drive our AI transformation initiatives and build scalable, production-grade AI systems.
Location:Chennai
Experience: 8+ to 15+ Years
Key Skills: AI/ML, Python, Generative AI, Cloud (Azure/AWS/GCP), Microservices, MLOps
Responsibilities (Lead & Architect Levels)
AI/ML & Deep Learning
* Build and deploy ML/DL models using TensorFlow, PyTorch, Keras, ONNX.
* Develop NLP, Computer Vision, speech, and forecasting models (Transformers, CNNs, LSTMs, GANs).
* Design and maintain ML pipelines with end-to-end workflows including feature engineering, training, deployment & monitoring.
* Deploy using SageMaker, Vertex AI, Kubeflow, MLflow, Triton.
* Implement MLOps: model versioning, CI/CD for ML, drift detection, automated retraining.
Architecture & Engineering
* Design scalable microservices-based AI platforms and API layers (REST, GraphQL, event-driven).
* Build cloud-native AI systems using Azure/AWS/GCP (compute, storage, networking, IAM).
* Implement containerized ML workloads using Docker, Kubernetes, Helm, Istio.
* Develop enterprise-grade data storage solutions:
RDBMS:MySQL, PostgreSQL, Oracle
NoSQL: MongoDB, Cassandra, DynamoDB
Caching: Redis, Memcached
Search: Elasticsearch, Solr
Work with messaging systems: Kafka, RabbitMQ, ActiveMQ.
DevOps, Security & Observability
* Implement CI/CD pipelines and IaC (Terraform, CloudFormation, Ansible).
* Ensure security practices: OAuth2, JWT, encryption, OWASP, GDPR readiness.
* Configure monitoring & logging using Prometheus, Grafana, ELK, Splunk.
* Conduct code reviews, architecture reviews, and performance tuning.
Leadership (Role-based)
Lead (8+ yrs):
* Drive model development, oversee junior engineers, deliver end-to-end ML features.
Architect (13+ yrs):
* Define architectural roadmaps, lead PoCs, select technologies, govern standards, and drive enterprise AI adoption.
Required Skills
* Programming: Python (strong), Java/Go/C# (advantage)
* AI/ML Tools: TensorFlow, PyTorch, MLflow, SageMaker, Kubeflow, ONNX
* Cloud: Azure/AWS/GCP
* Containers: Docker, Kubernetes, Helm
* Databases: RDBMS, NoSQL, Redis, Elasticsearch
* DevOps: Jenkins/GitLab CI, Terraform
* Strong analytical, design, and problem-solving skills
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