
Senior AI Data Engineer
10 hours ago
AI Data Engineer - Senior
About the Role:
We are seeking a seasoned AI data engineer to spearhead the development of cutting-edge AI and machine learning solutions.
Key Responsibilities:
- Design, develop, and deploy end-to-end AI/ML pipelines using Python, PyTorch, TensorFlow, Scikit-learn, and Hugging Face.
- Lead large-scale projects involving Large Language Models (LLMs), Natural Language Processing (NLP), recommendation engines, and predictive models.
- Become proficient in designing, optimizing, and maintaining data pipelines and APIs for ML services, utilizing SQL/NoSQL databases and Docker, Kubernetes, Git, CI/CD for production ML.
- Successfully deploy and scale ML models on cloud platforms such as Azure/AWS/GCP with containerization and CI/CD.
- Collaborate with cross-functional teams to deliver high-quality, production-ready AI systems, ensuring model performance, scalability, monitoring, and explainability.
Requirements:
- Bachelor's/Master's degree in Computer Science, Data Science, or a related field.
- 5–6 years of hands-on experience in AI/ML/Data Science.
- Strong expertise in Python and ML frameworks.
- Practical experience with LLMs, embeddings, vector databases, and RAG pipelines.
- Proven background in recommendation systems, personalization, and predictive modeling.
- Familiarity with APIs & microservices.
- Experience with cloud ML deployments.
- Good knowledge of Docker, Kubernetes, Git, CI/CD for production ML.
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