Lead Machine Learning Engineer Sales - Los Angeles, CA at Geebo

Lead Machine Learning Engineer

Company DescriptionLogic20/20 invests in being a Best Company to Work For, where talented people come together to deliver exceptional solutions.
We bring clarity, insights, and optimization to enterprise organizations spanning technology, telecommunications, utilities, healthcare, and more.
We thrive as One Team, built on values:
We Foster a Culture of We by prioritizing connection and collaboration.
We Drive toward Excellence by investing in professional growth and cultivating thought leadership.
We Act with Integrity by doing the right thing and bringing our best selves to the table.
To make it all possible, we've created programs, resources, and benefits that promote connection and help you evolve your career.
Job DescriptionLogic20/20 is seeking a Machine Learning Engineer to lead data science teams that are utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models.
This is an exciting opportunity to make an impact by leveraging AI and ML techniques to create production-level systems through the application of machine learning models.
What you'll do:
Create frameworks to predict a variety of outcomes in different scenarios Create models of customer satisfaction that provide detailed insight into what causes a customer to take different actions Configure a multi-account MLOps environmentCollaborate with other data scientists and stakeholders on projects Research and design statistical models to answer target questions, optimize processes and outcomes, and inform decision-making Develop solutions in R or Python Develop production-grade solutions Work in Hadoop, Redshift, and Spark Translate business and product questions into analytics projects Communicate clearly over written and oral channels while translating complex methodologies and analytical results into high-level insights QualificationsMust have:
5
years of experience in machine learning with a focus on MLOps5
years of strong experience and knowledge of Python or R, SQL3
years of strong, hands-on experience with Computer VisionExperience leading data science/machine learning teamsExperience working with AWS Cloud, Amazon SageMakerStrong experience with TerraformExperience building and managing CI/CD pipelinesFamiliarity with popular machine learning libraries and frameworks, including TensorFlow, Keras, etc.
Experience working in an Agile environmentKnowledge of professional enterprise software development and practices including software lifecycle, best coding practices, version control, architecture, testing and deploymentHighly preferred:
Master's degree or PhD in machine learning, statistics, computer science, data mining, math, or any quantitative discipline Consulting experienceUtilities experience with drone technologyExperience with AWS RekognitionExperience with PyTorch and PySparkAdditional InformationAll your information will be kept confidential according to EEO guidelines.
Compensation range:
$160,000 - $210,000 annuallyAbout Logic20/20 To learn more about Logic20/20, please visit:
Core Values At Logic20/20, we are guided by three core values:
Drive toward Excellence, Act with Integrity & Foster a Culture of We.
These values were generated and agreed upon by our employees and they help us pursue our goal of being one of the best companies to work for and to work with.
Learn more at .
Logic20/20 BenefitsWhy Logic20/20? It's our goal to be one of the best companies to work for.
One piece of the puzzle is an evolving set of benefits that extend past medical, dental, and 401(k).
You will have PTO & Paid Holidays Worry-free time off to recharge and pursue your personal goals Community & Committees As part of our Culture of We, Logic20/20 invests in providing many social, interest, and learning opportunities Referral Programs & Bonuses Employee, project, and sales referral programs with paid incentives Equal Opportunity Statement We believe that people should be celebrated:
for their talents, ideas, and skills, but most of all, for what makes them unique.
We prohibit harassment and/or discrimination based on age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
To learn more about our DE&I initiatives, please visit:
Privacy Policy During the recruitment and hiring process, we gather, process, and store some of your personal data.
We consider data privacy a priority.
For further information, please view our company privacy policy.
SummaryType:
Full-timeFunction:
Information TechnologyExperience level:
Mid-Senior LevelIndustry:
Utilities.
Estimated Salary: $20 to $28 per hour based on qualifications.

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