Python Developer - FastAPI/Django

• Build and maintain robust Python applications for AI/ML and automation workflows.
• Deploy, fine-tune, and monitor ML/DL models using frameworks like TensorFlow, PyTorch, Hugging Face.
• Design and manage ETL/data pipelines (batch and real-time) using Apache Spark, Airflow, and Kafka.
• Implement cloud-native deployments on AWS, Azure, or GCP using Docker and Kubernetes.
• Drive and manage MLOps pipelines, including CI/CD for ML, model retraining, and version control using tools like MLflow, Kubeflow.
• Ensure high standards of code quality, testing, and documentation.
• Mentor junior developers and contribute to the growth of the AI/ML engineering team.
  

Key Requirements

• 6- 9 years of overall software development experience with 5+ years in Python for AI/ML applications.
• Strong hands-on experience with :
• Python frameworks: FastAPI, Django
• ML/DL frameworks: TensorFlow, PyTorch, Hugging Face Transformers
• Big data & workflow tools: Apache Spark, Airflow, Kafka
• Experience with cloud platforms (AWS, Azure, GCP) and ML services like :
• Amazon SageMaker
• Azure ML
• Google Vertex AI
• Proficiency in containerization and orchestration tools: Docker, Kubernetes.
• Solid understanding of MLOps tools: MLflow, Kubeflow, CI/CD pipelines for ML.
  

Preferred (Good To Have)

• Exposure to Generative AI, NLP, or Computer Vision projects.
• AI/ML/Cloud certifications (AWS, Azure, GCP, TensorFlow, etc.).
• Experience working in agile environments with cross-functional teams.
  

Educational Qualification

• Work on global AI/ML & Generative AI projects.
• Opportunity to shape AI/ML delivery frameworks.
• Clear path for career growth and leadership roles.
• Competitive compensation with performance-based Collaborative and innovation-driven work culture.