Posted:3 weeks ago|
Platform:
Work from Office
Full Time
Role & responsibilities 2- 5 years of experience in AI/ML, data science, or a similar role. Proficiency in Python and libraries such as scikit-learn , TensorFlow , PyTorch , or XGBoost . Strong understanding of supervised, unsupervised, and deep learning techniques. Experience with data preprocessing, feature engineering, and model evaluation. Solid knowledge of statistics and probability. Hands-on experience with model deployment tools (e.g., Flask, FastAPI, Docker). Familiarity with cloud platforms (AWS, GCP, Azure) and ML services. Experience with SQL and NoSQL databases. Preferred candidate profile Exposure to NLP, computer vision, or time-series forecasting. Experience with MLOps tools like MLflow, Kubeflow, or SageMaker. Familiarity with big data tools (e.g., Spark, Hadoop). Publications in AI/ML conferences or open-source contributions.
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Outsourcing and Offshoring Consulting
501-1000 Employees
10 Jobs
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