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Our Client is looking for a Full Stack Data Science & AI Engineer with strong experience in Data Engineering, Machine Learning, Generative AI, and AWS Cloud. The ideal candidate will build scalable data pipelines, deploy AI/ML models, and develop enterprise-grade GenAI solutions.
Key Responsibilities
Required Skills
Job ID: 150653605
Skills:
prophet , Sql, Tensorflow, Numpy, Pandas, Pytorch, XGBoost, Arima, Python, LSTM, scikit-learn, Regression, time-series forecasting, Demand Forecasting, Classification, ensemble methods, Pricing Discount Simulation, AWS SageMaker, feature engineering
Skills:
probability , Text Analytics, Machine Learning, Artificial Intelligence, Deep Learning, Tensorflow, Nlp, Pytorch, Python Programming, Keras, Computer Vision, Generative AI, Agentic Frameworks, Statistics, linear algebra, Retrieval Augmented Generation
Skills:
Logging, Docker, Flask, Python, AWS, Sql, Azure ML, Gcp, MLops, Spark, FastAPI, Azure, Kubernetes, vector search, embeddings, Airflow, versioning, data pipelines, MLflow, Azure OpenAI, GitHub Actions, NLP pipelines, model monitoring, RAG architectures, Weights Biases, Transformers, LLMs, ML algorithms, SageMaker, CI CD pipelines, Statistics, OpenAI, evaluation metrics
Skills:
Statistical Analysis, Matplotlib, Hypothesis Testing, Tableau, Clustering, Sql, Numpy, Nltk, Pandas, Data Visualization, Seaborn, Python, Generative AI, Prompt engineering, Regression modeling, Hugging Face Transformers, Scikit-learn, Regression, Machine learning models, spaCy, Experimental Design, Classification
Skills:
Agile Development, Machine Learning, Big Data Technologies, Python, Deep Learning, Generative AI
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