Mindlance · 13 hours ago
Data Engineer
Mindlance is seeking a Data Engineer to develop production-ready models and utilize various data-access technologies. The role involves building machine learning models and collaborating with stakeholders to communicate analytical insights effectively.
Human Resources
Responsibilities
Demonstrated competency in developing production-ready models in an Object-Oriented Prog language such as Python
Demonstrated competency in using data-access technologies such as SQL, Spark, Databricks, etc
Experience with Visualization tools such as Tableau, Kepler.gl, etc
Experience with Data Modeling techniques such as Normalization, data quality and coverage assessment, attribute analysis, performance management, etc
Experience building machine learning models such as Regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc
Excellent communication skills. Able to effectively lead meetings, to document work for reproduction, to write persuasively, to communicate proof-of-concepts, and to effectively take notes
Experience with Geospatial data search and analysis, geo-indexing techniques, vector and raster data structures
Experience with remote sensing, GIS tools, and satellite imagery analysis
Experience with CVML
Experience with advanced AI techniques and tools
Examples of professional work such as publications, patents, a portfolio of relevant project-work, etc
Familiarity with Distributed Datasets
Experienced with a variety of data structures such as time-series, geo-tagged, text, structured, and unstructured
Additional experience with other languages such as Java, JavaScript, Scala, etc
Experience with simulations such as Monte Carlo simulation, Gibbs sampling, etc
Experience with model validation, measuring model bias, measuring model drift, etc
Experience collaborating with stakeholders from disciplines such as Product, Sales, Finance, etc
Ability to communicate complex analytical insights in a manner which is clearly understandable by nontechnical audiences
Qualification
Required
Demonstrated competency in developing production-ready models in an Object-Oriented Prog language such as Python
Demonstrated competency in using data-access technologies such as SQL, Spark, Databricks, etc
Experience with Visualization tools such as Tableau, Kepler.gl, etc
Experience with Data Modeling techniques such as Normalization, data quality and coverage assessment, attribute analysis, performance management, etc
Experience building machine learning models such as Regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc
Excellent communication skills. Able to effectively lead meetings, to document work for reproduction, to write persuasively, to communicate proof-of-concepts, and to effectively take notes
Preferred
Experience with Geospatial data search and analysis, geo-indexing techniques, vector and raster data structures
Experience with remote sensing, GIS tools, and satellite imagery analysis
Experience with CVML
Experience with advanced AI techniques and tools
Examples of professional work such as publications, patents, a portfolio of relevant project-work, etc
Familiarity with Distributed Datasets
Experienced with a variety of data structures such as time-series, geo-tagged, text, structured, and unstructured
Additional experience with other languages such as Java, JavaScript, Scala, etc
Experience with simulations such as Monte Carlo simulation, Gibbs sampling, etc
Experience with model validation, measuring model bias, measuring model drift, etc
Experience collaborating with stakeholders from disciplines such as Product, Sales, Finance, etc
Ability to communicate complex analytical insights in a manner which is clearly understandable by nontechnical audiences
Company
Mindlance
Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services
Funding
Current Stage
Late StageLeadership Team
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