Key responsibilities
Qualifications & Skills
Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
Proven experience in designing, training, and deploying machine learning models and AI solutions.
Strong programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Hands-on experience with MLOps tools and practices (Docker, Kubernetes, MLflow, CI/CD pipelines).
Proficiency in data processing and ETL tools (Spark, Databricks) and working with large datasets.
Knowledge of model optimization techniques (quantization, distillation) and performance tuning for production environments.
Familiarity with cloud platforms (Azure, AWS, or GCP) and scalable architecture design.
Understanding of data governance, privacy standards, and compliance requirements.
Strong analytical and problem-solving skills with attention to detail.
Excellent communication skills to collaborate with cross-functional teams and present technical concepts clearly.
FULL TIME
mid
4/8/2026
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