Job Description
US Work Authorization Requirement:
Candidates must be legally authorized to work in the United States without employer sponsorship. This includes, but is not limited to, U.S. Citizens, Permanent Residents, and other individuals with valid U.S. work authorization.
Role Overview:
Seeking a Senior AI / ML Engineer to design, build, and deploy production-grade machine learning solutions. Work hands-on across the full ML lifecycle—feature engineering, model development, automated pipelines, deployment, and monitoring—using Databricks, MLflow, Delta Lake, Python, and PySpark.
Key Responsibilities:
Develop and deploy ML models and automated pipelines for high-impact business use cases
Manage feature stores and monitor model performance and reliability
Apply advanced ML techniques, including NLP, entity resolution, and AI agents
Optimize models and pipelines for scalability, performance, and cost efficiency
Collaborate with stakeholders to translate business challenges into ML solutions
Stay current with emerging AI/ML technologies and best practices
Required Qualifications:
Bachelor’s or Master’s in Computer Science, Engineering, Mathematics, or related field
12+ years in AI/ML, data science, or data engineering
Hands-on experience with Python, PySpark, Databricks, Delta Lake
Expertise in cloud platforms (AWS, Azure, or GCP)
Strong foundation in ML algorithms, statistics, and mathematics
Experience with MLOps, model versioning, CI/CD, and monitoring
Knowledge of data governance, quality/drift monitoring, and advanced ML techniques
