Gen AI Engineer

Job :
Nashville, TN

Employment Type:

1099, C2C, W-2

Company: SRI Tech Solutions Role:
Gen AI Engineer

Location:

Nashville, TN (Day 1 Onsite)

Job Description:

Developing predictive models on large-scale datasets to address various business problems through demonstrating advanced statistical modeling, machine learning, or data mining techniques. Using combinations of Python, Azure, Vertex AI, AutoML, Vertex AI Notebooks, Document AI, Big Query MLDefine and execute strategies for data pipelines, ML feature engineering and Data Science analysis, AI/data product development and the adoption of emerging technologies, ensuring alignment with organizational objectives and priorities.

Developing predictive analytics models using various machine learning techniques

Evaluating the performance of predictive models and algorithms using appropriate metrics and validation techniques, and iterate on model improvements

Building and maintaining data pipelines that are optimized for machine learning applications

Providing guidance on technology choices and design considerations for AI/ML programs

Collaborating with business analysts, project lead, management, and customers on requirements

Assisting with the training and enablement of end users, including data scientists, program managers, and data consumers

Sharing knowledge and experience to contribute to growth of overall team capabilities

Designing fit-for-purpose products to ensure products align to the customer's strategic plans and technology road maps Actively participate in technical group discussions and adopt any new technologies to improve the development and operations.

Assisting team members with production issues and offer support, guidance, and assist in communicating issues with appropriate stakeholders when necessary

Support the product innovation process from ideation, business case/financial ROI analysis, product roadmap, prototyping, pilot testing, customer validation to handoff to the scaled engineering team for further development and maintenance.

Conduct market research to stay up-to-date on industry trends, new Data and AI technologies, emerging healthcare business needs, and best practices in design thinking and rapid development, informing product incubation decisions.

What qualifications you will need:

OTHER/SPECIAL QUALIFICATIONS Proficiency with Python and data science libraries (Pandas, Num Py, Sci Py, Scikit-Learn, etc.)Experience producing meaningful visualizations/dashboards/presentations to business stakeholders

Strong understanding of software development, architecture, engineering, business analysis, AI, and data product principles

Experience solving "full stack" machine learning problems, from data collection to model training to deployment, and experience using machine learning.

Understanding and exposure to the different levels of the data science cycle (definition, collection, preparation, extraction, analysis, modeling, and deployment)

Experience with Object Oriented Programming (OOP) concepts & scalable software design principles

Experience working with SQL/MySQL Experience working with GCP AI and ML Products such as:
Vertex AI, AutoML, Vertex AI Notebooks, Document AI, Big Query MLAbility to multitask and to balance competing priorities.

Strong verbal, written, and interpersonal skills, including a desire to work within a highly-matrixed, team-oriented environment.

Experience in Healthcare domain would be a plus Education, Experience and

Certifications:

Bachelor's degree in Computer Science, Business Administration, or related field
- Required8+ years of experience in software development, data engineering, business analysis
- Required Master's degree in Computer Science, Business Administration, or related field – Preferred.

SRI Tech Solutions is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national origin or citizenship status or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria.