
AI/ML Model Architect
1 day ago
We are seeking a highly skilled and experienced Senior AI/ML Data Scientist to join our organization. The ideal candidate will have a strong background in data science, machine learning, and software development.
Main Responsibilities:
- Design, develop, and deploy end-to-end AI/ML solutions using Python and ML frameworks such as PyTorch, TensorFlow, Scikit-learn, and Hugging Face.
- Lead projects involving Large Language Models (LLMs), Natural Language Processing (NLP), recommendation engines, and predictive models.
- Build, optimize, and maintain data pipelines and APIs for ML services using SQL/NoSQL databases and data pipeline development techniques.
- Deploy and scale ML models on cloud platforms with containerization and CI/CD using Docker, Kubernetes, Git, and FastAPI/Django REST/Flask.
- Collaborate with cross-functional teams to deliver production-ready AI systems.
- Ensure model performance, scalability, monitoring, and explainability.
Required Skills and Qualifications:
- Bachelor's/Master's in Computer Science, Data Science, or related field.
- 5–6 years of hands-on AI/ML / Data Science experience.
- Strong expertise in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn, Hugging Face).
- Practical experience with LLMs, embeddings, vector databases, and RAG pipelines.
- Proven background in recommendation systems, personalization, and predictive modeling.
- Proficiency in SQL/NoSQL databases and data pipeline development.
- Familiarity with APIs & microservices (FastAPI, Django REST, Flask).
- Experience with cloud ML deployments (Azure/AWS/GCP).
- Good knowledge of Docker, Kubernetes, Git, CI/CD for production ML.
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