Sr Machine Learning Engineer

Blue Cross and Blue Shield of North Carolina; New York (NY); On-site; USD 100,000 - 183,000; Full time

Job summary

An established industry player is seeking a Senior Machine Learning Engineer to enhance their MLOps strategy. This pivotal role involves collaborating with Data Scientists to automate AI/ML models, ensuring efficient data integration and processing. You will lead complex data engineering projects, develop scalable data pipelines, and implement advanced visualizations. Join a forward-thinking team that values innovation and offers a robust compensation package, including competitive health benefits and an annual bonus based on performance. If you are passionate about leveraging AI/ML to drive business transformation, this opportunity is for you.

Benefits

401(k) with employer match

Paid Time Off (PTO)

Annual Incentive Bonus

Competitive health benefits

Wellness programs

Qualifications

• 5 years of experience with Data Warehouses and Data Lakes.
• Experience creating & executing efficient MLOps pipelines.

Responsibilities

• Define and extract data from multiple sources for analysis.
• Improve and maintain models prepared by Data Scientists.

Skills

Python

R

SQL

MLOps

Data Warehousing

Data Lakes

ML Algorithms

Cloud Solutions

Data Visualization

Education

Bachelor's degree

7 years of experience in lieu of degree

Job description

Job Description

Blue Cross and Blue Shield of North Carolina has an immediate need for a Senior Machine Learning Engineer.

The ML engineering team plays an integral part in delivering on the enterprise's Data Science MLOps strategy and capabilities. Our ML Engineers will work closely with all Data Scientists to ensure AI/ML models are automated, whether traditional data science, machine learning, or generative AI. This role will be key in GenAI automation on the AWS ecosystem.

The AI/ML COE builds foundational AI/ML capabilities and solutions that serve multiple cross-domain business use cases and provide thought-leadership on the potential of AI/ML in delivering transformational value for the enterprise. AI/ML COE maintains and matures our AI/ML operations environment, and AI/ML standards & best practices to enable scaling of data science solutions from ideation to prototype, automation, productionization, and integration into business workflows. AI/ML COE also maintains a community of practice for data scientists at BCBSNC and developing partnerships with universities, and other Blues plans.

What You Will Do

• Define and extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient programming processes

• Document, and test complex data systems that bring together data from disparate sources, making it available to data scientists, and other users using scripting and/or programming languages

• Improve, deploy, and maintain models prepared by Data Scientists into production-grade cloud systems using scalable, efficient machine learning operations pipelines.

• Write and refine code to ensure performance and reliability of data extraction and processing

• Lead requirements gathering sessions with business and technical staff to distill technical requirement from business requests

• Develop advanced SQL queries to extract data for analysis and model construction

• Own delivery of large, complex data and ML engineering projects

• Design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation required to provide access to prepared data sets to analysts and data scientists

• Ensure performance and reliability of data processes

• Document and test data processes including performance of through data validation and verification

• Collaborate with cross functional team to resolve data quality and operational issues and ensure timely delivery of products

• Develop and implement scripts for database and data process maintenance, monitoring, and performance tuning

• Analyze and evaluate databases in order to identify and recommend improvements and optimization

• Design advanced eye-catching visualizations to convey information to users

What You Bring

• Bachelor's degree and 5 years of experience with Data Warehouses and Data Lakes, Big Data platforms and programming in Python, R or other related language.

• Understanding of ML Algorithms, experience creating & executing efficient MLOps pipelines, and tuning ML models

• Familiarity with large language models and with implementation of AI solutions in a cloud environment

• In lieu of degree, 7 years of the experience as stated above.

Salary Range

At Blue Cross NC, we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets, licensure and certifications and other business and organizational needs.Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs.

*Based on annual corporate goal achievement and individual performance.

$100,500.00 - $182,700.00