Python Developer

Python Developers to support Service Team We are looking for Sr candidates 5-10 years of experience. Team: Diverse team with a mix of Senior, Mid-level, and Junior Developers working in a POD model structure. The QA team operates independently. The environment is fully Agile with biweekly sprints and releases, and it moves at an extremely fast pace. Day-to-Day: · Design, develop, and maintain AI-driven applications and services using Python and modern machine learning frameworks · Write clean, efficient, and scalable code with a strong focus on algorithms, data structures, and performance optimization · Build and optimize data pipelines for training, validating, and deploying machine learning models at scale · Collaborate with data scientists, ML engineers, and product teams to translate business requirements into robust AI solutions · Implement best practices in software engineering, testing, and version control to ensure high-quality deliverables · Optimize AI/ML workloads for speed and scalability across distributed computing environments · Stay current with advancements in AI, ML, and deep learning technologies, bringing innovative solutions into production systems

· 3+ years of hands on experience · Proven experience as a Python Developer with hands-on expertise in building production-grade applications · Must be hands-on with coding and demonstrate strong programming foundations (data structures, algorithms, object-oriented design) · Strong background in AI/ML with experience using frameworks such as TensorFlow, PyTorch, or Scikit-learn · Proficiency in data handling and manipulation using libraries like NumPy and Pandas · Experience with SQL databases for managing and accessing training data · Knowledge of model deployment and scaling in enterprise or cloud environments (AWS, Azure, or GCP) · Familiarity with containerization and orchestration (Docker, Kubernetes) for AI/ML workloads (preferred) · Strong debugging, optimization, and performance-tuning skills for both code and AI models

Key Focus Areas · Python Development: Core programming language for AI/ML applications · AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn · Data Pipelines: ETL, preprocessing, and feature engineering for large datasets · SQL Databases: Schema design, query optimization, and handling structured data · Enterprise-Scale AI: Building secure, reliable, and scalable AI solutions · Hands-On Programming: Strong coding discipline with emphasis on maintainability and performance · Cloud & Deployment (Preferred): AWS/GCP/Azure, Docker, Kubernetes