Senior Software Engineer - ML Engineer – AI Platforms and Services

PA, Working at Home - Pennsylvania

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Company :

Highmark Health

Job Description : 

JOB SUMMARY

***Entirely Remote Work From Anywhere Role!***

Are you passionate about building intelligent systems that solve real-world problems? Do you thrive in a collaborative environment, pushing the boundaries of innovation with cutting-edge technology? If so, we invite you to join our AI Platforms and Services team as a Machine Learning Engineer! Join our team and drive the integration of AI/ML solutions within software applications for our enterprise stakeholders!

We are seeking an experienced Machine Learning Engineer to join our AI Platforms and Services team. In this role, you'll combine your expertise in machine learning algorithms, software engineering, and data infrastructure to build intelligent systems that can learn and make predictions or decisions based on data. You'll be responsible for designing, developing, and deploying machine learning models as services in software systems to meet business goals and support experimentation and innovation.

As an integral member of an agile software engineering team, you'll build scalable AI/ML-based products and reusable back-end APIs to serve our customers. You'll take an enterprise-wide, architectural view of the solutions, executing product development using the technical stack that best meets the platform's needs. You'll be involved in every aspect of the ML application build process from idea generation and business analysis to technical design, software development, and deployment using the latest technologies and design patterns.

Your work will involve:

  • Understanding and translating business and functional needs into machine learning problem statements.
  • Translating complex machine learning problem statements into specific deliverables and requirements.
  • Designing and developing scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements.
  • Translating machine learning algorithms into production-level code.
  • Collaborating with development teams to test and deploy machine learning models.
  • Monitoring the performance of deployed models, tracking data or concept drift, and updating or retraining models as needed.
  • Ensuring adherence to performance standards and compliance with data security requirements.

ESSENTIAL RESPONSIBILITIES

  • Responsible for designing and creating engineering specifications for software applications and programs. Responsible for designing & writing code that adheres to coding standards. Performs code reviews.
  • Responsible for idea generation, exploring and implementing appropriate technical solutions to achieve the required product features, as well as monitoring technical process against project plan while safeguarding functionality, scalability and performance.
  • A part of an agile work team and responsible for participating in all scrum ceremonies, assisting in sprint planning and completing required sprints in the development through final execution of software applications/programs. Communicate any issues/blockers to the Scrum Master in a timely manner.
  • Drive story creation (i.e. DoD, Acceptance Criteria, estimation). Create Tasks for their stories in applicable software (ex: RTC or Jira), and updates status and assignment accordingly.
  • Monitor work against production schedule and provide progress updates and report any issues or technical difficulties to lead developers on a regular basis.
  • Mentor other associate and intermediate software engineers as needed.
  • Other duties as assigned or requested.

EDUCATION

Required

  • Bachelor's Degree in Computer Science, Computer Engineering or a closely related field  

Preferred

  • Master's Degree in Computer Science, Computer Engineering or a related field 

EXPERIENCE

Required

  • 5 years proficiency in design and analysis of algorithms, data structures, and design patterns in the building and deploying of scalable; highly available systems

To include:

  • 5 years in at least one modern programming languages (Java, Python, JavaScript, ACE, IIB/ITX, Informatica preferred), and experience with at least two of the following: React, Angular v4+, NodeJS, NoSQL databases, HTML5, CSS, Google Cloud Platform or Amazon Web Services.
  • 5 years of understanding of web services technologies such as REST, HTTPS, JSON
  • 5 years with one or more general purpose programming languages including but not limited to: Java, Python (Django/Flask), C/C++, C#, Objective C, JavaScript, or Go
  • 5 years in defining system architectures and exploring technical feasibility trade-offs for optimizing short term execution while planning for long term technical capabilities

Preferred

  • At least 3 years of experience in developing and deploying enterprise-scale machine learning solutions in a software engineering-adjacent field

  • Proficiency in deploying machine learning algorithms as production ready API services
  • Experience developing and debugging in Python for AI/ML services using frameworks like Flask, FastAPI, Kserve, BentoML, etc
  • Exposure to architectural patterns of large-scale software applications
  • Ability to effectively communicate technical concepts and results to technical and business audiences in a comprehensive manner
  • Ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management, and operations
  • Ability to work independently and in a fully remote environment
  • Willingness and ability to stay up to date on new ML/AI technologies and their potential impact on the company

To Include:

  • 5 years of translating design mockups, prototypes and user stories into working applications
  • 5 years of ability to produce code that is fault-tolerant, efficient, and maintainable
  • 1 year of working with Machine Learning esp. in Natural Language Understanding, Machine Translation, Deep Neural Networks and related fields

LICENSES or CERTIFICATIONS

Required

  • None

Preferred

  • None

SKILLS

  • Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment
  • Have experience working with agile methodology of scrum
  • Interest and ability to learn other programming languages as needed
  • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, unit testing, code reviews, source control management, build processes, testing, and operations
  • Strong track record in designing and implementing large scale consumer facing applications
  • Strong sense of ownership, urgency, and drive
  • Demonstrated passion for user experience and improving usability
  • Experience and willingness to mentor junior engineers and help develop their skills and leadership

Language (Other than English):

None

Travel Requirement:

0% - 25%

PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS

Position Type

Office-based

Teaches / trains others regularly

Rarely

Travel regularly from the office to various work sites or from site-to-site

Occasionally

Works primarily out-of-the office selling products/services (sales employees)

Never

Physical work site required 

Yes

Lifting: up to 10 pounds

Constantly

Lifting: 10 to 25 pounds

Rarely

Lifting: 25 to 50 pounds

Never

Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.

Compliance Requirement: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies.


As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times.  In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and Information Security Policy. 

Furthermore, it is every employee’s responsibility to comply with the company’s Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements.

Pay Range Minimum:

$78,900.00

Pay Range Maximum:

$146,000.00

Base pay is determined by a variety of factors including a candidate’s qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations.  The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets.

Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, age, religion, sex, national origin, sexual orientation/gender identity or any other category protected by applicable federal, state or local law. Highmark Health and its affiliates take affirmative action to employ and advance in employment individuals without regard to race, color, age, religion, sex, national origin, sexual orientation/gender identity, protected veteran status or disability. 

EEO is The Law

Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled/Sexual Orientation/Gender Identity (https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf)

We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact number below.

For accommodation requests, please contact HR Services Online at HRServices@highmarkhealth.org

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Tags: Agile Angular APIs Architecture AWS BentoML Computer Science Deep Learning Django Engineering FastAPI Flask GCP Google Cloud Informatica Java JavaScript Jira JSON KServe Machine Learning ML models Node.js NoSQL Privacy Python React Scrum SDLC Security Testing

Perks/benefits: Equity / stock options Insurance

Regions: Remote/Anywhere North America
Country: United States

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