Python Developer

2 weeks ago

Mohali, Punjab, India TechRBM Full time ₹ 15,00,000 - ₹ 28,00,000 per year

Job Description
Key Responsibilities :

  • 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
Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related fields.

Why Join Us?

  • 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.

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