Senior Machine Learning Engineer - Telecommute

Company:
Location: Eden Prairie, MN 55346

*** Mention DataYoshi when applying ***

The Optum Tech Hub Automation Platform team is looking for a AI/ML engineer-practitioner with a strong AI/ML and data engineering background who wants to join Tech Hub Revolution. We are redefining the way software engineers at Optum interact with Private and Public Cloud infrastructure and services. You will be part Tech Hub Insights & Analytics team a fast-paced and innovative group of full stack data engineers and scientists providing data insights, analytics and personalization services to enable smart Automation Platform experiences.

As a Senior Machine Learning Engineer you will be a key contributor in evolving Tech Hub Insights technical platform, developing data integrations and services, AI/ML powered recommendation services and NLP search. This is a full stack engineer role working in a product development team. The ideal candidate while focusing on AI/ML engineering tasks should be able to participate in all aspects of Tech Hub Insights product development activities especially in areas of data integrations, data ingestion and data mining.

You’ll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

  • Lead end to end implementation of AI/ML powered Tech Hub Insights product features
  • Conduct hands-on data analysis and predictive analytics, implement Tech Hub Insights data analytics features
  • Work alongside other ML Engineers and Data Engineers on various data acquisition, data preparation, ML model management and other ML engineering tasks
  • Assist with building scalable, fault-tolerant batch and real-time data ingestion pipelines, data transformation and data mining jobs on as needed basis
  • Support Tech Hub Automation Platform innovation by identifying and driving new AI/ML based product features
  • Help set technical direction and provide guidance and coaching to junior data scientists and data analysts.
  • Own or assist with incident and problem management
  • Collaborate with the rest of the agile team at daily stand ups and other agile product development practices

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • 3+ years of experience with professional software development using with demonstrated progression and positive career growth (Python, Java, Scala, or Ruby)
  • 3+ years of professional experience developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques
  • Experience applying computational algorithms and statistical methods to structured and unstructured data
  • Familiarity with data engineering, building and using data pipelines, APIs, and integrations
  • Aptitude for learning and be a great team player
  • If you need to enter a work site for any reason, you will be required to screen for symptoms using the ProtectWell mobile app, Interactive Voice Response (i.e., entering your symptoms via phone system) or a similar UnitedHealth Group-approved symptom screener. Employees must comply with any state and local masking orders. In addition, when in a UnitedHealth Group building, employees are expected to wear a mask in areas where physical distancing cannot be attained.

Preferred Qualifications:

  • BS degree in data science or computer science or similar field
  • Working knowledge of ELK stack
  • Working knowledge of data streaming using Kafka
  • Experience with Docker, Kubernetes, or Openshift
  • Experience with Neo4j, Tigergraph or other graph databases, and graph algorithms
  • Experience with relational or NoSQL databases
  • Experience with data modeling, data schemas

Technology Careers with Optum . Information and technology have amazing power to transform the health care industry and improve people's lives. This is where it's happening. This is where you'll help solve the problems that have never been solved. We're freeing information so it can be used safely and securely wherever it's needed. We're creating the very best ideas that can most easily be put into action to help our clients improve the quality of care and lower costs for millions. This is where the best and the brightest work together to make positive change a reality. This is the place to do your life's best work.(sm)

*All Telecommuters will be required to adhere to UnitedHealth Group’s Telecommuter Policy.

Colorado Residents Only: The salary range for Colorado residents is $79,700 to $142,600. Pay is based on several factors including but not limited to education, work experience, certifications, etc. As of the date of this posting, In addition to your salary, UHG offers the following benefits for this position, subject to applicable eligibility requirements: Health, dental, and vision plans; wellness program; flexible spending accounts; paid parking or public transportation costs; 401(k) retirement plan; employee stock purchase plan; life insurance, short-term disability insurance, and long-term disability insurance; business travel accident insurance; Employee Assistance Program; PTO; and employee-paid critical illness and accident insurance.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity / Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Job Keywords: Senior Machine Learning Engineer, Telecommute, Telecommuter, Telecommuting, Work from home, Work at home, Remote

*** Mention DataYoshi when applying ***

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