Sr. Python Developer

As a Python Developer specializing in Machine Learning and Data Analytics, you will play a crucial role in designing, developing, and deploying Python applications that utilize data analytics, statistical modeling, and machine learning techniques. Your responsibilities will include: - Designing, developing, and deploying Python applications for data analytics and machine learning. - Independently working on machine learning model development, evaluation, and optimization. - Developing ETL pipelines and processing large-scale datasets for analysis. - Implementing scalable and efficient algorithms for predictive analytics and automation. - Optimizing code for performance, scalability, and maintainability. - Collaborating with stakeholders to understand business requirements and translating them into technical solutions. - Integrating APIs and third-party tools to enhance functionality. - Documenting processes, code, and best practices for maintainability. To excel in this role, you are required to have: - 5-6 years of professional experience in Python application development. - Strong expertise in Machine Learning, Data Analytics, and AI frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). - Proficiency in Python libraries such as Pandas, NumPy, SciPy, and Matplotlib. - Experience with SQL and NoSQL databases (PostgreSQL, MongoDB, etc.). - Hands-on experience with big data technologies (Apache Spark, Delta Lake, Hadoop, etc.). - Strong experience in developing APIs and microservices using FastAPI, Flask, or Django. - Good understanding of data structures, algorithms, and software development best practices. - Strong problem-solving and debugging skills. - Ability to work independently and handle multiple projects simultaneously. Additionally, it would be beneficial to have working knowledge of cloud platforms (Azure/AWS/GCP) for deploying ML models and data applications. If you believe you have the skills and experience required for this role, please send your resume to hr@epsumlabs.com.,