2 months ago
Remote, United StatesSenior
Responsibilities
- Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering.
- Implement AI-based solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Work with cloud platforms including AWS, Azure, and Google Cloud.
- Integrate and fine-tune Hugging Face transformer models for NLP tasks.
- Develop AI automation solutions, including chatbot implementations.
- Work with big data technologies for large-scale data processing and analytics.
- Design and optimize ETL pipelines for data quality management.
- Utilize SQL and other databases for management and query optimization.
- Create interactive data visualizations using Tableau and Power BI.
- Develop and implement Agentic AI systems for autonomous decision-making.
Requirements
- 7+ years of experience applying AI to practical uses.
- Strong coding expertise in Python and SQL, with ML frameworks.
- Deep knowledge of algorithms, OOP, and functional design principles.
- Proficiency with Pandas, NumPy, Matplotlib, and Seaborn.
- Hands-on experience with cloud platforms such as AWS, Azure, and Google Cloud.
- Experience with big data processing using Apache Spark and Snowflake.
- NLP expertise with Hugging Face and cloud AI services.
- Strong understanding of database management and query optimization.
- Experience with data visualization tools such as Tableau and Power BI.
- Ability to work in a collaborative environment and adapt to new AI technologies.
Tech Stack
Apache SparkAWSAzureGoogle CloudMatplotlibMongoDBMySQLNumPyPandasPostgreSQLPythonPyTorchscikit-learnSeabornSnowflakeSQLTensorFlow