Python Developer
4 days ago
- Perform data pre processing, feature engineering, and model training using large structured and unstructured datasets.
- Develop, test, and deploy ML models into production using Flask/FastAPI, Docker, Kubernetes, and cloud/on-premise environments.
- Write efficient, reusable, and optimized code primarily in Python; leverage Java for backend integration where required.
- Collaborate with cross-functional teams to ensure smooth integration of ML models with enterprise systems.
- Utilize SQL/NoSQL databases for data handling, storage, and retrieval.
- Apply ML solutions to improve process efficiency, cost optimization, and defect reduction in manufacturing and related domains.
- Document development processes, architecture, and deployment strategies for future scalability.
- Stay updated with the latest advancements in ML/AI, big data, and IoT applications.
Required Skills & Competencies
- Strong proficiency in Python and ML frameworks: TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy.
- Working knowledge of Java for backend application integration.
- Hands-on experience in deploying ML models using Flask/FastAPI, Docker, Kubernetes, and Cloud Platforms (AWS/Azure/GCP).
- Familiarity with SQL/NoSQL databases and big data handling.
- Strong understanding of machine learning workflows from data preprocessing to deployment.
- Ability to write clean, maintainable, and optimized code.
- Problem-solving mindset with a focus on timely project delivery and measurable business outcomes.
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