Salesforce Developer

CareerCircle
Plano, TX, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
0 years minimum
Compensation
$143,320.0 - $273,930.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Business Analytics Applications Application Integration Architecture Computer Programming Data Cleansing Information Engineering Data Mart Data Systems
+22 more
Data Warehousing Software Design Patterns Graph Database Python (Programming Language) Machine Learning Motion Planning OpenShift Tensorflow Sentiment Analysis Software Engineering SQL Databases Enterprise Application Integration Google Cloud Cloud Platform System Snowflake Generative AI Fastapi Data Lakes Machine Learning Operations Virtual Agents Api Design Data Pipelines

Job description

On Prem FastAPI OpenShift Scheduling Leadership Mentorship Data Lakes Agentic AI Prototyping Market Data Data Science Communication Data Pipelines Solution Design Motion Planning Machine Learning Data Engineering Agile Methodology Influencing Skills Data Preprocessing Sentiment Analysis Amazon Web Services Time Off Management Stochastic Modeling Software Development Technical Leadership Advanced Mathematics Artificial Intelligence Software Design Patterns SQL (Programming Language) Snowflake (Data Warehouse) Java (Programming Language) Machine Learning Frameworks Python (Programming Language) Generative Artificial Intelligence Enterprise Application Integration MLOps (Machine Learning Operations) Application Programming Interface (API), * Consults with data scientists and business partners on approaches involving ML model development and implementation.

  • Provides technical feedback on ML solutions within technical lead community.
  • Leads the full life cycle of machine learning engineering to include analysis, solution design, data pipeline engineering, testing, deployment, scheduling, application integration, production support, API development, and application integration in support of GenAI applications, ML frameworks/libraires, and ML models.
  • Configure, manage, and set up AI/ML infrastructure components in cloud/on-prem environments for projects and the AI/ML community stakeholders. This includes AWS, GCP, graph databases.
  • Works with architects to influence and define ML model implementation patterns in complex environments.
  • Understand complex model implementation requirements and how to recognize and apply appropriate design patterns throughout solution design and implementation.
  • Designs and implements complex technical solutions for machine learning, artificial intelligence, GenAI, Creates proof of concepts and prototypes on highly complex solutions and presents to leadership to deliver on vision for solution.
  • Assists in setting technical direction for the team and serves as a mentor to team members.
  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures., Honesty On Prem FastAPI OpenShift Scheduling Leadership Mentorship Data Lakes Agentic AI Prototyping Market Data Data Science Communication Data Pipelines Solution Design Motion Planning Machine Learning Data Engineering Agile Methodology Influencing Skills Data Preprocessing Sentiment Analysis Amazon Web Services Time Off Management Stochastic Modeling Software Development Technical Leadership Advanced Mathematics Artificial Intelligence Software Design Patterns SQL (Programming Language) Snowflake (Data Warehouse) Java (Programming Language) Machine Learning Frameworks Python (Programming Language) Generative Artificial Intelligence Enterprise Application Integration MLOps (Machine Learning Operations) Application Programming Interface (API) +0

Requirements

  • Bachelor’s degree; OR 4 years of relevant education and/or experience; and
  • 6+ years of machine learning engineering, data engineering, or software development experience implementing data solutions.
  • Extensive programming experience using Python, SQL, Java etc.
  • Extensive data engineering experience.
  • Experience with end to end delivering of machine learning and AI/GenAI solutions that includes building, integrating, and optimizing data pipelines; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications.
  • Experience completing multiple projects leveraging the agile methodology in implementing ML models.
  • Experience leveraging ML Ops principles and implementing automated workflows.
  • Demonstrated technical leadership experience
  • Demonstrated ability to mentor junior members of the technical team in area of expertise.
  • Knowledge of Data Science principles and methodologies.
  • Knowledge of stochastic modeling, machine learning, or other advanced mathematical techniques.
  • Effective communication skills, with the ability to present complex technical concepts to both technical and non-technical audiences.
  • Expert knowledge of at least one cloud platform and relevant components e.g., AWS Sagemaker.

What sets you apart:

  • Programming skills using FastAPI, OpenShift, Snowflake (or any similar platform), Java, etc.
  • Financial services, insurance, banking, or other highly regulated industry experience.
  • Experience mentoring junior developers and providing technical leadership.
  • US military experience through military service or a military spouse/domestic partner

Benefits & conditions

Compensation range: The salary range for this position is: $143,320 - $273,930.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

About the company

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

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Apply on www.careercircle.com
Prepare application

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