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Software Engineer III (AI / ML)

Software Engineer III (AI / ML)

INSPYR SolutionsCharlotte, NC
23 days ago
Job type
  • Full-time
Job description

Title : Software Engineer III (AI / ML)

Location : REMOTE; must live in one of the following states : NV, WY, OK, LA, MS, AL, GA, FL, SC, NC, VA, IN, MI

Duration : Contract to hire

Compensation : $-$ / hr; conversion salary between $K-$K per year

Work Requirements : US Citizen, GC Holders or Authorized to Work in the

Software Engineer III (AI)

As an AI Software Engineer III, you will be responsible for designing, developing, and deploying world-class Decision Intelligence and AI-enabled products for our customers. These solutions have far-reaching impact across aspects including patient care, team member and patient experience, clinical and back-office operations, and system financial health. You will work as part of a product team with other engineers, data scientists, architects, product managers, and product designers. You will also share in the responsibility for our products achieving the target outcomes for the business problems they are meant to solve. As such, you will be a key player in the continuous Product Discovery and Product Delivery lifecycles to ideate, prototype, launch, learn, and increasingly improve each iteration of our products. As a senior level AI Software Engineer, you mentor other engineers in software development best practices and exemplify a sense of product ownership, value in creativity and exploration, and a positive, "get to yes” attitude.

Key skills :   ML, AI, Python, Graph databases, background as a Developer ideally with both frontend and backend experience, Healthcare a big plus

Education

  • Minimum of a Bachelor's Degree required in Engineering, Computer Science or similar field.

Experience

  • Minimum years experience in software engineering, data engineering, machine learning engineering or similar technical role.
  • years experience in data science or artificial intelligence
  • Additional Skills / Requirements

  • Experience working in cross-functional teams following an Agile product development framework
  • Experience developing rapid prototypes and iterations
  • Expert understanding and experience deployment to production AI / ML architectures, tools, and data infrastructure to public cloud platforms.
  • Expert level programming skills in two or more languages, preferably including Python / PySpark, Java.
  • Designing and building user interfaces using HTML, CSS, and JavaScript frameworks like React or Angular.
  • Strong understanding of cloud computing, containerization, and DevSecOps practices
  • Proficient working with semi-structured file formats and Graph / NoSQL databases
  • Strong understanding of layers of software stack including API design, development and production deployment at scale.
  • Understanding of Healthcare industry standards and HIPAA privacy and security rules
  • Excellent problem-solving, analytical, and critical thinking skills. Ability to troubleshoot failures and perform root cause analysis to identify deficiencies in data and / or processes
  • Expert in data engineering and data orchestration best practices with large scale structured and unstructured data
  • Strong communication, presentation, and stakeholder management skills
  • A positive, "get to yes” attitude, seeking to find a solution that meets viability, value, feasibility, and usability objectives
  • Additional Skills / Requirements

  • Contributions to open-source AI / ML projects
  • Experience in the healthcare industry
  • Knowledge of medical terminology and clinical workflows
  • Essential Functions

  • Collaborate with product team to design, develop, and deploy world-class Decision Intelligence and AI-enabled products
  • Explore novel solutions, often combining multiple AI / ML techniques
  • Guide the architecture, infrastructure, tools, and processes used to develop, maintain AI / ML products
  • Deeply understand a wide variety of algorithms to understand vulnerabilities, strengths, and weaknesses
  • Rapidly develop prototypes to experiment and evaluate feasibility
  • Standardize, optimize and scale products in production environments
  • Design and implement scalable and efficient ML Ops pipelines for ingesting, processing, and storing large volumes of structured and unstructured data
  • Keep abreast of the latest data platform and AI / ML tools, techniques and industry trends
  • Our benefits package includes :

  • Comprehensive medical benefits
  • Competitive pay
  • k) retirement plan
  • much more!
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