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Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or related field.
Minimum 4-8 years of experience in Data Science, Machine Learning, or AI projects.
Strong proficiency in Python programming.
Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, and Keras.
Good understanding of statistical analysis, predictive modeling, and data visualization techniques.
Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
Knowledge of cloud-based AI/ML services and model deployment.
Familiarity with SQL and database technologies.
Experience with data preprocessing, ETL pipelines, and big data technologies is an advantage.
Understanding of MLOps, CI/CD pipelines, and containerization tools like Docker/Kubernetes is preferred.
Strong analytical, problem-solving, and communication skills.
Job ID: 147797253
Skills:
JIRA, Sql, Git, Confluence, Flask, FastAPI, Python, Agile SDLC, tool function calling, LLMs, prompt engineering, Streamlit, agentic frameworks
Skills:
Scipy, Predictive Modelling, Numpy, Gcp, Information Retrieval, Python, AWS, CPLEX, Pyomo, Queuing Theory, Pulp, Shallow Machine Learning, Google OR-Tools, Mixed-Integer Programming, Gradient-Based Methods, CVXPY, Operations Research, Simulation, Metaheuristic Methods, Gurobi
Skills:
model development , Machine Learning, Version Control, Statistical Modelling, Sql, Data Science, Advanced Analytics, Python, Data Quality Governance, Forecasting, Feature Engineering, Optimisation, Data Libraries and Frameworks, Data Exploration, Data Storytelling, decision science
Skills:
Tensorflow, Pytorch, MLops, Docker, Kubernetes, Python, LangChain, LLMOps, AutoML frameworks, vector databases, CI CD, microservices architecture, OpenAI APIs
Skills:
snowflake , Machine Learning, Data Mining, AWS Glue, Tableau, Docker, Python, Matplotlib, Hadoop, Power Bi, Redshift, Sql, Azure ML, Azure Data Factory, Spark, Data Visualization, Seaborn, Kubernetes, Airflow, R, GCP AI Platform, Statistics, AWS SageMaker, GCP BigQuery, Experimental Design, Data Validation
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