Posted:5 days ago|
Platform:
Work from Office
Full Time
Design, develop, and deploy machine learning models for various use cases (classification, regression, NLP, CV, etc.) Preprocess, clean, and transform large datasets for training and testing Conduct model evaluation, performance tuning, and error analysis Collaborate with data engineers, product managers, and business stakeholders to deliver intelligent solutions Implement and manage scalable ML pipelines using tools like MLflow, Airflow, or Kubeflow Work with cloud platforms such as AWS, Azure, or GCP for model training and deployment Stay updated with the latest advancements in AI/ML technologies and frameworks Roles and Responsibilities Strong programming skills in Python and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch Experience with model deployment and MLOps practices Good understanding of data structures, algorithms, and statistics Hands-on experience with cloud platforms (AWS/GCP/Azure) Proficiency in SQL and working with databases/data warehouses Knowledge of Docker/Kubernetes is a plus Excellent problem-solving and communication skills
Goavega Software India
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