Data Science (Python Django) Specialist
Data Science Analytics & Machine Learning
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Job Description
- As a Data Science (Python + Django) Specialist with 5+ years of experience, your role will involve designing, developing, and deploying ML/LLM solutions for real-world use cases. You will be responsible for building and optimizing recommendation/personalization algorithms, as well as developing and maintaining APIs & microservices to serve ML models. Your key responsibilities include managing the end-to-end ML lifecycle, implementing and maintaining Azure-based ML workflows, and ensuring robust CI/CD practices for containerization and orchestration of ML models. Additionally, you will collaborate with cross-functional teams to deliver production-ready AI solutions.
- Design, develop, and deploy ML/LLM solutions for real-world use cases.
- Build and optimize recommendation/personalization algorithms.
- Develop and maintain APIs & microservices to serve ML models.
- Manage end-to-end ML lifecycle: data pipelines, training, fine-tuning, deployment, monitoring.
- Implement and maintain Azure-based ML workflows with scalable infrastructure.
- Ensure robust CI/CD, containerization, and orchestration of ML models.
- Collaborate with cross-functional teams to deliver production-ready AI solutions.
- Bachelors/Masters in Computer Science, Data Science, or related field.
- 4+ years of applied Data Science / ML Engineering experience.
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face, Scikit-learn).
- Hands-on experience with LLMs: fine-tuning, embeddings, vector databases.
- Experience building recommendation systems & personalization algorithms.
- Solid understanding of APIs & microservices (Django REST, FastAPI, Flask).
- Cloud-based ML deployments on Microsoft Azure.
Key Responsibilities:
Qualifications Required:
- Familiarity with Docker, Kubernetes, Git, CI/CD.,
Skills
PythonData ScienceDjangoFlaskAiMlMicroservicesGitCICDLLMsML FrameworksPythonFastAPIDockerAPIsMicrosoft AzureDjango RESTKubernetesScikitlearnPyTorchFlaskTensorFlowHugging FaceIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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