Python Developer

4 weeks ago

New Delhi, India Egnoto Full time

Job Title: Python Developer – AI/ML & Data ScienceExperience: 4–7 YearsResponsibilities- Develop, optimize, and maintain Python-based applications with strong integration of Django frameworks . - Design, build, and deploy AI/ML models (supervised, unsupervised, deep learning) for real-world applications. - Perform data preprocessing, feature engineering, and model training to enhance performance and accuracy. - Work with large-scale datasets using Big Data frameworks (Hadoop, Spark, Databricks, etc.). - Build and manage end-to-end data pipelines (ETL/ELT) for scalable and reliable workflows. - Implement MLOps practices (CI/CD pipelines, model deployment, monitoring, retraining). - Conduct data modeling, database design, and performance tuning for analytics and applications. - Develop dashboards, APIs, and visualization tools to deliver insights and integrate AI/ML solutions into products. - Collaborate with cross-functional teams (engineering, product, and business) to design and implement data-driven, scalable solutions . - Continuously explore and adopt new AI/ML techniques, Python libraries, and cloud services to optimize solutions.Requirements & Skills- Proven experience (4–7 years) in Python development with frameworks like Django/Flask . - Hands-on expertise in AI/ML model design, development, and deployment using libraries like Scikit-learn, TensorFlow, or PyTorch. - Strong understanding of data preprocessing, feature engineering, and model optimization techniques . - Experience with MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes, CI/CD pipelines). - Proficiency in SQL, data modeling, and database design (RDBMS & NoSQL). - Familiarity with big data frameworks (Hadoop, Spark, Databricks) and distributed computing. - Strong knowledge of statistics, mathematics, and data science concepts . - Experience building REST APIs, dashboards, or services to integrate ML models into applications. - Excellent problem-solving skills with an analytical and research-driven mindset. - Strong communication skills to present insights and collaborate with stakeholders. - Education: Bachelor’s/Master’s in Computer Science, Data Science, or related field.

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