Payrate: $80.00 - $120.00/Hour
Summary: 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 -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.
Required 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 Client 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
Pay Transparency: The typical base pay for this role across the U.S. is:
$80.00 - $120.00 per hour. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy .
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions. By applying to this position, you agree to Aditi's use of AI technology including calls from an AI Voice Recruiter.