We are seeking a highly skilled Data Scientist with at least 3 years of experience in Python, Django, and AI/ML to join our dynamic team. The ideal candidate will be responsible for developing and implementing machine learning models, working with large datasets, and building scalable data-driven applications using Django and Python.
Key Responsibilities
Develop and deploy machine learning models for predictive analytics, recommendation systems, and automation.
Design, implement, and maintain end-to-end data pipelines using Python.
Utilize Django to build and manage scalable web applications and APIs for data-driven solutions.
Perform data analysis, feature engineering, and statistical modeling to extract meaningful insights.
Collaborate with cross-functional teams to integrate ML solutions into business applications.
Optimize AI/ML models for accuracy, performance, and scalability.
Work with databases (SQL/NoSQL) and cloud platforms to manage and process large datasets.
Conduct A/B testing, hypothesis testing, and model validation.
Stay updated with the latest advancements in AI/ML and apply best practices to projects.
Required Skills & Qualifications
3+ years of experience in Data Science, AI/ML, Python, and Django.
Strong expertise in Python, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
Hands-on experience in building and deploying machine learning models.
Proficiency in Django framework for backend development and API integration.
Experience with SQL/NoSQL databases (e.g., PostgreSQL, MongoDB).
Understanding of MLOps, Model Deployment (AWS, GCP, or Azure), and containerization (Docker, Kubernetes) is a plus.
Strong analytical, problem-solving, and communication skills.
(ref:hirist.tech)
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