0 - 1 years
0 Lacs
Posted:1 day ago|
Platform:
On-site
Full Time
Job Summary:
We are looking for a highly motivated and skilled Machine Learning Engineer with 1–3 years of experience and a strong interest in Generative AI technologies. The ideal candidate will contribute to the full lifecycle of Generative AI models — from training and optimization to deployment on AWS and inference API development. You will collaborate with a team of engineers and researchers to build cutting-edge AI-powered solutions that have real-world impact.
Key Responsibilities:
1. Generative AI Model DevelopmentDesign, develop, and implement Generative AI models for applications such as text, image, and code generation.Work with large language models (LLMs) or other generative models using frameworks like TensorFlow, PyTorch, and Hugging Face Transformers.Experiment with model architectures, training techniques, and hyperparameter tuning to optimize performance.2. Model Optimization & EfficiencyApply techniques such as quantization, pruning, and distillation to improve inference speed and reduce resource consumption.Profile and analyze model performance to identify and eliminate bottlenecks.3. Cloud Deployment on AWSDeploy AI models to AWS using services such as SageMaker, EC2, ECS, or Lambda.Develop scalable and reliable inference pipelines.Use AWS tools for data storage, model management, and monitoring.4. Inference API DevelopmentDesign and develop efficient, secure, and scalable RESTful or gRPC APIs to serve deployed AI models.Ensure high availability, maintainability, and performance of APIs.5. Troubleshooting & DebuggingDiagnose and resolve issues related to model performance, deployment, and API functionality.Implement monitoring and logging systems to proactively manage issues.6. Model Retraining & Continuous ImprovementImplement strategies for continuous learning by retraining models with new data and user feedback.Monitor production model performance and trigger retraining workflows as needed.7. Collaboration & CommunicationWork closely with ML engineers, data scientists, and software developers to drive project goals.Communicate progress, insights, and challenges effectively with stakeholders.8. DocumentationCreate comprehensive documentation for models, training workflows, deployment processes, and APIs.
Required Qualifications:
Preferred Qualifications:
Job Type: Full-time
Benefits:
Ability to commute/relocate:
Application Question(s):
Experience:
Work Location: In person
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