ML Engineer
1 week ago
About the Role
As a Mid-Level AI/ML Engineer, you will take ownership of model development, fine-tuning, optimization, and integration, while collaborating closely with architecture leadership and full-stack engineers. You will be responsible for end-to-end deliverables, from dataset preparation through to model deployment.
Responsibilities
- Own the training and fine-tuning of ML models (NLP, speech, vision, multimodal).
- Prepare and manage datasets at scale, with augmentation pipelines.
- Optimize models (quantization, pruning, distillation) for low-latency use cases.
- Work with Hugging Face, LangChain/LangGraph, and custom pipelines.
- Integrate models into APIs/services with the full-stack team.
- Contribute to generative AI features (avatars, voice, immersive video).
- Research and recommend frameworks/tools for faster iteration.
Key Skills & Experience
- 2-4 years professional AI/ML experience
- Strong Python, PyTorch/TensorFlow
- Hands-on Hugging Face (Transformers, Diffusers)
- Understanding of agentic frameworks (LangChain, LangGraph)
- Model evaluation and benchmarking experience
- Basic experience with vector DBs (pgvector, Pinecone, OpenSearch)
- Familiarity with cloud ML services (AWS Bedrock/SageMaker, Vertex, or Azure AI)
Nice to Have
- Experience with speech and generative media (Whisper, ElevenLabs, Stable Diffusion).
- Docker, GitLab CI/CD, Linux server workflows.
- Contribution to research papers, open-source repos, or Kaggle competitions.
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