Senior Python Developer

6 - 10 years

0 Lacs

Posted:15 hours ago| Platform: Shine logo

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Job Type

Full Time

Job Description

As a Senior Python Developer with expertise in AI/ML frameworks, data engineering, and scalable application development, your role will involve working on high-velocity AI/ML projects. These projects range from predictive analytics and recommendation engines to generative AI platforms, where fast delivery and iteration are key. **Key Responsibilities:** - **Design & Develop:** Build robust Python-based applications for AI/ML, data processing, and automation. - **Model Integration:** Implement, fine-tune, and deploy ML/DL models using TensorFlow, PyTorch, Scikit-learn, Hugging Face. - **Data Engineering:** Work with structured/unstructured datasets, build pipelines (ETL, real-time streaming), and optimize data processing. - **Fast Iterations:** Deliver MVPs and Proof-of-Concepts quickly, balancing speed with scalability. - **Cloud Deployment:** Implement and deploy ML workloads on AWS, Azure, or GCP with Docker/Kubernetes. - **Collaboration:** Work closely with data scientists, frontend engineers (React), and product owners to deliver end-to-end AI solutions. - **Automation & Performance:** Optimize ML workflows, implement MLOps (CI/CD for ML), and automate retraining pipelines. - **Mentorship:** Guide junior developers, share best practices, and enforce coding and testing. **Qualifications Required:** - 6 to 9 years of experience in Python development, with at least 5+ years in AI/ML-focused projects. - Strong expertise in Python, FastAPI/Django for API and microservices. - Proficiency in ML/DL frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers. - Experience with data engineering tools (Pandas, Spark, Airflow, Kafka). - Hands-on experience with cloud-native ML deployments (AWS Sagemaker, Azure ML, GCP Vertex AI). - Familiarity with MLOps pipelines (Kubeflow, MLflow, DVC, CI/CD). - Knowledge of SQL & NoSQL databases (Postgres, MongoDB, Redis). - Strong understanding of AI/ML lifecycle - from model training to monitoring in production. If you join us, you will work on cutting-edge AI, ML, and generative AI projects for global clients, experience fast-track career growth in a rapidly scaling IT services company, and have the opportunity to shape AI/ML delivery frameworks for enterprise clients. Competitive compensation and performance bonuses are part of the package.,

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