|Published||January 13, 2023|
|Location||United States (Remote), United States of America|
We look forward to working with you at INflow Federal!
We are looking for an engineer who enjoys disrupting the "norm" to assist with architecting, designing and providing governance of large-scale Machine Learning and Data Integration solutions!
You will help orchestrate model pipelines and deploy the model-based solution to production. May get involved in Data Engineering to develop, construct and maintain large-scale data processing systems. These systems will collect data from a variety of structured and unstructured data sources, stores data in a scale-out data lake, and prepares the data for the data science, data exploration and analytic modeling.
Build and maintain production ready ML pipelines
Build and maintain a production-ready platform to run models in parallel and A/B test
Prepare and preprocess data in collaboration with the data engineering team
Required Job Qualifications
5+ years of experience in Machine learning related field including prior lead experience
Advanced in-depth knowledge of Predictive Analytics, Statistical modeling, advanced mathematics, data integration concepts and tools
Strong organizational, analytical, critical thinking and leadership skills
Demonstrated leadership on mid-large-scale project impacting strategic partners
Background in Machine Learning frameworks such as TensorFlow, SparkML or Keras, Scikit Learn
Proficiency in Scala, Python or an equivalent language
Familiarity with Statistical Machine Learning models, Machine Learning concepts like Natural Language Processing, Image Processing, Recommendation Systems, etc.
Deep knowledge of math, probability, statistics, and algorithms, Machine Learning Development Lifecycle, Model monitoring, Data Exploration, Bias detection/removal, Explainable AI
Experience with AWS DevOps tools (e.g. Sagemaker, Lambda)
Experience with CI/CD tools (e.g. github, bamboo) and best practices
Bachelor’s degree in Computer Science, MIS, Machine Learning, Data science or similar
Experience with Databricks, Snowflake or StreamSets
Must have a minimum of a DoD Secret clearance
INflow Federal was founded in 2013. The “INflow difference” begins with a simple belief encompassing the importance of employee culture. We are obsessed with our people and have demonstrated year-over-year that our employee-focused approach leads to customer success. As a leading small business innovator, we offer proven expertise in Network Modernization, Cybersecurity, Digital Modernization and Joint Force Mission Operations. We serve our federal government customers in over 20 states domestically to include the United States Navy (USN), United States Marine Corps (USMC), National Reconnaissance Office (NRO) and Joint Forces.
Simplifying the customer experience requires everyone within our organization to work together. Our leadership communicates transparently with our team on a regular basis with a commitment to do the right thing for all those we serve. Our customers recognize doing business with INflow means working with people who consistently deliver with agility, passion and integrity.
US Military Veterans have continuously paved the path ahead for our customers. We developed a homegrown “Veteran Outreach Program” focused around attracting and hiring transitioning military personnel and has resulted in veterans representing over 50% of our company.
This is our secret sauce. It is how we continue to adapt, evolve, grow and accompany our customers into the future of mission systems and operations.
INflow Federal is a defense contractor. Due to legal requirements, candidates must be US Citizens to be considered for employment.
- Some travel may be required: Must have valid driver’s license and transportation. This is subject to change at the direction of the customer
- Candidate must have the ability to lift up to 50 lbs
Must have willingness to perform duties not listed in the job description as required by INflow and our customer.
Equal Opportunity Employer
INflow is an Equal Opportunity and Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.