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You will be updated with latest job alerts via emailCore Responsibilities:
Design develop and deploy machine learning models for production use.
Collaborate with cross-functional teams (Data Engineering Product and Software Development) to understand and solve complex business problems using AI/ML solutions.
Conduct data preprocessing feature engineering model selection training evaluation and optimization.
Implement scalable ML pipelines using frameworks like TensorFlow PyTorch or Scikit-learn.
Monitor and maintain ML models post-deployment ensuring performance and relevance.
Stay updated with the latest trends and research in artificial intelligence and machine learning and integrate best practices into ongoing projects.
Qualification:
Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence or a related field.
25 years of hands-on experience in AI/ML development.
Demonstrated experience in delivering production-grade machine learning solutions.
Required Skills:
Proficiency in Python and ML libraries (TensorFlow PyTorch Scikit-learn XGBoost etc.).
Strong understanding of data structures algorithms and model evaluation metrics.
Experience with NLP computer vision or recommendation systems is a plus.
Familiarity with data handling tools (Pandas NumPy) databases (SQL/NoSQL) and cloud services (AWS GCP Azure).
Understanding of MLOps concepts and tools (e.g. MLflow Docker Kubernetes CI/CD pipelines).
Excellent problem-solving communication and collaboration skills.
Required Experience:
Senior IC
Full-Time