Lead Stack Inc. is an award-winning, one of the nation's fastest-growing, certified minority-owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work, we're proud to partner with some of the most admired Fortune 500 brands in the world.

TITLE: Data Scientist

LOCATION: San Francisco Metro – Remote

DURATION: 9+ Months

Job Description:

We are looking for talented AI Software Engineers to join our team and build a cutting-edge AI platform for Enterprise IAM Security. The ideal candidate will have a strong foundation in machine learning, deep learning, and software engineering. You'll work on state-of-the-art AI models, optimize infrastructure for scalability, and collaborate with cross-functional teams to deliver innovative solutions.

Responsibilities:

Analyze large datasets to identify trends, opportunities, and challenges in the tools and AI-powered features.
Build datasets for testing models, both generative and predictive, in collaboration with partner teams
Participate in technical discussions, and drive engineering investments in responsible AI to improve model fairness and safety prior to launch
Compare between different tools and libraries options (both Client built and open-source) to identify the most appropriate one for the task at hand
Develop quantitative metrics to help surface insights from structured datasets
Develop and maintain reports and dashboards to track key metrics and KPIs.
Monitor and analyze logs data for harms/ threats and insights
Create data visualizations to communicate insights and trends to stakeholders.
Ensure data quality and integrity by identifying and addressing data discrepancies and errors.

Core Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
Fluent in building/prototyping machine learning models and algorithms and wrangling large datasets.
At least 5+ years of hands-on experience in engineering positions passionate about Machine Learning, Information Retrieval, Recommendation systems, Personalization (p13n), Natural Language Processing, Learning to Rank, RAG
Proficient in using Python and common machine learning frameworks (e.g., TensorFlow, Pandas, PyTorch, SciPy, scikit-learn, JAX) to implement models and algorithms.
Experience deploying and managing AI solutions on cloud platforms such as AWS SageMaker and Amazon Bedrock
Proficient in SQL, shell scripting, and Unix/Linux command-line tools.
Grasp of the evolving understanding of fairness and ability to meet both state-of-the-art and global standards for fairness evaluation, particularly in generative AI
Experience working across teams of engineers, data scientists, and researchers.

Desired Skill

Experience with designing and building micro-services, familiar with Kubernetes/Terraform/Docker/RESTful API/gRPC, etc.
Experience with Agile software development and Test Driven Development methodologies.

To know more about current opportunities at Lead Stack, please visit us at https://leadstackinc.com/careers/

Should you have any questions, feel free to call me on 415 985-0816 or send an email on Nishanth.allam@leadstackinc.com