Careers

Key Responsibilities

• Design, develop, and deploy ML models for predictive analytics, computer vision, or NLP use cases.
• Build scalable data ingestion and preprocessing pipelines using Python (Pandas, PySpark, etc.).
• Implement and optimize ML workflows using frameworks like TensorFlow, PyTorch, or scikit-learn.
• Collaborate with data engineers and data scientists to integrate models into production systems.
• Automate model retraining, monitoring, and performance tracking.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• 4-9 years of hands-on experience in Python-based AI/ML development.
• Good to have understanding of machine learning algorithms, model evaluation, and feature engineering.
• Proficiency with Python libraries such as NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, and MLflow.
• Experience with data processing frameworks such as PySpark or Dask.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• Experience with API integration and MLOps tools (Databricks, Airflow, SageMaker, etc.).
• Understanding of version control (Git) and CI/CD pipelines