We are hiring a highly skilled Data Scientist with strong expertise in Machine Learning, Deep Learning, and production-grade ML systems to solve complex real-world business problems. 🔹 Key Responsibilities • Train and optimize Deep Neural Network architectures for Regression and Industrial Control Usecases • Design and implement end-to-end Machine Learning & Deep Learning pipelines including data ingestion, data cleaning, feature engineering, model training, deployment, and monitoring • Work on large, complex datasets for data preprocessing, exploratory data analysis (EDA), and feature engineering • Apply Regression Models, and Predictive Analytics to solve real-world problems • Develop Time-Series and Forecasting models for trend prediction and risk estimation • Collaborate with cross-functional teams to integrate ML solutions into production systems 🔹 Must-Have Skills ✔ Deep Learning (Neural Networks, CNNs, RNNs, LSTM, Transformers) ✔ PyTorch, TensorFlow, Keras ✔ Python Programming ✔ Scikit-learn ✔ Pandas & NumPy ✔ Machine Learning (Regression, Classification, Ensemble Models) ✔ Time Series Forecasting & Predictive Modeling ✔ Model Training, Hyperparameter Tuning & Cross-Validation 🔹 Good to Have ➕ Cloud Platforms – AWS / Azure / GCP ➕ MLOps Tools – Docker, Kubernetes, MLflow, Seldon, etc. ➕ Big Data & Data Engineering Exposure ➕ NLP, GenAI, or LLM Experience Experience: 5+ Years
Data Scientist - AI/ML (Remote)
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