Overview:
We’re looking for a hands-on AI Engineer who’s passionate about building real-world AI solutions that scale. At Dataflix, you won’t just experiment, you’ll deploy. You’ll be part of a nimble, AI-native team that’s transforming how enterprises unlock value from their data using cutting-edge technologies.
Responsibilities:
- Design, develop, and deploy end-to-end AI/ML models, from POC to production.
- Build and optimize scalable pipelines for data ingestion, training, and inference.
- Collaborate with cross-functional teams to deliver AI solutions that drive measurable business outcomes.
- Integrate solutions into enterprise workflows using APIs, cloud platforms, and deployment frameworks.
- Contribute to solution accelerators and reusable components that power rapid delivery.
Requirements:
- Strong hands-on experience with Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Solid understanding of machine learning, LLMs, NLP, and deep learning techniques.
- Proven experience building and deploying AI models in production environments.
- Practical experience with at least one leading AI platform such as:
Google Cloud Vertex AI
IBM Watsonx
Crew.ai, LangChain, LangGraph, or other GenAI frameworks
Preferred Skills:
- Familiarity with RAG pipelines and agentic AI frameworks.
- Experience with MLOps tools like MLflow, Kubeflow, or TFX.
- Exposure to enterprise-grade cloud environments (GCP, AWS, or Azure).
- Contributions to open-source AI projects or published research.