Python Developer – AI/ML

3 weeks ago

New Delhi, India Egnoto Full time

Job Title:Python Developer – AI/ML & Data Science Experience:4–7 Years Responsibilities Develop, optimize, and maintainPython-based applicationswith strong integration ofDjango frameworks . Design, build, and deployAI/ML models(supervised, unsupervised, deep learning) for real-world applications. Performdata preprocessing, feature engineering, and model trainingto enhance performance and accuracy. Work withlarge-scale datasetsusing Big Data frameworks (Hadoop, Spark, Databricks, etc.). Build and manageend-to-end data pipelines(ETL/ELT) for scalable and reliable workflows. ImplementMLOps practices(CI/CD pipelines, model deployment, monitoring, retraining). Conductdata modeling, database design, and performance tuningfor 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 implementdata-driven, scalable solutions . Continuously explore and adopt newAI/ML techniques, Python libraries, and cloud servicesto optimize solutions. Requirements & Skills Proven experience (4–7 years) inPython developmentwith frameworks likeDjango/Flask . Hands-on expertise inAI/ML model design, development, and deploymentusing libraries like Scikit-learn, TensorFlow, or PyTorch. Strong understanding ofdata preprocessing, feature engineering, and model optimization techniques . Experience withMLOps tools(MLflow, Kubeflow, Airflow, Docker, Kubernetes, CI/CD pipelines). Proficiency inSQL, data modeling, and database design(RDBMS & NoSQL). Familiarity withbig data frameworks(Hadoop, Spark, Databricks) and distributed computing. Strong knowledge ofstatistics, mathematics, and data science concepts . Experience buildingREST APIs, dashboards, or servicesto 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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