Careers

At Lucd we are looking for people with a vision and passion for driving results and getting things done.  Join a company that is working on the cutting edge of Artificial Intelligence. Competitive salary, with a strong focus on work-life balance, a lean organizational structure, and you get to work from home.

 
 
Solutions Consultant – Analytics and AI Engineering 

We are looking to hire a Solutions Consultant with mid-level AI Engineering skills to our team. 

 

We define mid-level as someone who: 

  • Has demonstrated foundational skills and knowledge related to data science and artificial intelligence that will allow this person to quickly learn our product, specific technologies, and job duties. 

  • Receives day-to-day direction and takes responsibility to complete the tasks on time.   

  • A month from their start, they are able to complete most job duties and tasks on their own with occasional guidance needed. 

 

On a daily basis you will: 

  • Analyze and gather intuition on various modalities of data (i.e., perform exploratory data analysis), and interact with key customer stakeholders as directed by the Customer Success delivery lead. 

  • Perform feature engineering, and create and tune AI models based on customer’s business requirements.

  • Expected exploratory data analysis and AI modeling techniques will include but are not limited to: dimension reduction (e.g., principal component analysis); unsupervised learning (various clustering techniques); supervised learning (e.g., regression, classification), time series analysis, and techniques supporting recommender systems and fraud detection. 

  • Create documentation and visualization to adequately explain insights from analytic results. 

 

Requirements: 

  • Demonstrated knowledge and ability to meet the job as described above. 

  • Demonstrated ability to successfully work in a virtual workplace. 

  • Proficient in Python, Sklearn, Tensorflow, and R.  

Solutions Consultant - Data Engineering 

We are looking to hire a Solutions Consultant with mid-level Data Engineering skills to our team. 

 

We define mid-level as someone who: 

  • Has demonstrated foundational skills and knowledge related to the job and our business that will allow this person to quickly learn our product, specific technologies, and job duties. 

  • Receives day-to-day direction and takes responsibility to complete the tasks on time.   

  • A month from their start, they can complete most job duties and tasks on their own with occasional guidance needed. 

 

On a daily basis you will: 

  • Evaluate customer data for ingest into our platform and interacting with customer keyholders as directed by the Customer Success delivery lead.

  • Create Apache NiFi processors to ingest data. 

  • Create NiFi data flows and scripts to transform data. 

  • Validate data flow in our platform. 

  • Secure data access in our platform. Ensure correct security labels are used on the data. 

  • Evaluate and fuse data from multiple sources. 

 

Requirements: 

  • Demonstrated knowledge and ability to meet the job as described above. 

  • Demonstrated ability to successfully work in a virtual workplace. 

  • Proficient in a combination of Apache NiFi, Accumulo, Solr, ElasticSearch, Java, Groovy, Python, Avro, bash scripting.

  • Proficient with: extracting data from various database containers and file formats.

Solutions Architect – Data Engineering and
Artificial Intelligence

We are looking to hire a Solutions Architect with a mix of Artificial Intelligence and Data Engineering skills to our team.

 

We define the skills needed for this role as a combination of mid-level technical skills and senior level consulting skills, someone who: 

  • Has demonstrated foundational skills and knowledge related to data engineering, data science and artificial intelligence that will allow this person to quickly learn our product, specific technologies, and job duties. 

  • Receives high-level direction and takes responsibility to break down complex requirements into tasks to complete the tasks on time individually and with the assistance of other resources.   

  • A month from their start, they are able to complete most job duties and tasks on their own with occasional guidance needed. 

 

On a daily basis you will: 

  • Evaluate customer data for ingest into our platform and interacting with customer keyholders as directed by the Customer Success delivery lead.

  • Analyze and gather intuition on various modalities of data (i.e., perform exploratory data analysis), and interact with key customer stakeholders as directed by the Customer Success delivery lead. 

  • Create Apache NiFi processors, scripts and data flows to ingest, transform, validate data and data flow on our platform.

  • Perform feature engineering, create and tune AI models based on customer’s business requirements.

  • Evaluate and fuse data from multiple sources in the Lucd platform.

  • Expected exploratory data analysis and AI modeling techniques will include but are not limited to: dimension reduction (e.g., principal component analysis); unsupervised learning (various clustering techniques); supervised learning (e.g., regression, classification), time series analysis, and techniques supporting recommender systems and fraud detection. 

  • Create documentation and visualization to adequately explain insights from analytic results. 

 

Requirements: 

  • Demonstrated knowledge and ability to meet the job as described above. 

  • Demonstrated ability to successfully work in a virtual workplace. 

  • Proficient in a combination of technologies such as Apache NiFi, Accumulo, Solr, ElasticSearch, Java, Groovy, Python, Avro, bash scripting, Python, Sklearn, Tensorflow, and R.