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Job Description:
Required Experience
5-8 years of progressive experience as Hands on Data Scientist or Machine Learning Engineer, with a strong focus on data-intensive applications.
4+ years of hands-on experience to develop and implement machine learning and statistical models for Regression, classification, and Time Series based problems
4+ years of programming and scripting experience with Python.
Demonstrated ability to lead data science projects, design sessions, and deliverables to successful completion.
Proven experience working effectively across organizations, product teams, and business partners.
Experience with Agile Methodologies and writing user stories.
Experience on deploying Models to any cloud environment (Preferred GCP)
Ability to take customer requirements, conceptualize optimal solutions, and build scalable/extensible systems that can be easily expanded or enhanced in the future.
Job ID: 151241777
Skills:
Machine Learning, Python, Sql, DataRobot, Snowflakes
Skills:
Pytorch, Sql, Tensorflow, Numpy, Pandas, BigQuery, Python, Docker, Git, Cloud Run, LlamaIndex, Vertex AI, Vertex AI Vector Search, Scikit-Learn, Google Gemini API, Vector Databases, pgvector, LangChain, Pinecone, Generative AI
Skills:
data engineering , Algorithm Design, Machine Learning, Predictive Analytics, Hadoop, data mining, Sql, programming, Python, Statistical Analysis, interface development, Visualization, Google Cloud Services, Modelling, data acquisition, Optimization
Skills:
Hadoop, Sql, Tensorflow, Numpy, Pandas, Pytorch, Gcp, Powerbi, Qlik, Spark, Azure, Python, AWS, Scikit-learn, Looker Studio
Skills:
Ml, Google Cloud Platform, Pyspark, Dataproc, Sql, Terraform, Postgres, Api, Microsoft Excel, Python, Problem Solving, Big Query, GenAI, Tekton, Ai, Statistics, Llm, AIRFLOW, data fusion, Cloud SQL, Data Flow
