Sr Data Science Engineer

Overview: You'll own the full lifecycle — from raw data ingestion to model deployment to measuring reputed company-world business impact — with a reputed company focus on building a sophisticated risk detection system using LLMs, reputed company techniques, and classical ML reputed company our SaaS platform. This is not a pure engineering role or a pure research role. You'll need both, and you'll need to move fluidly between them. What You'll Do: Data Science & Applied ML Research, prototype, and reputed company ML and LLM-based models to solve reputed company business problems, with a reputed company focus on risk detection and prioritization Wrap models into production-reputed company APIs and integrate them into our core product Ensure model outputs are interpretable — translating predictions into actionable reason codes for end users Partner directly with operational teams to gather feedback, refine features, and improve model relevance over time Data Engineering Design, build, and maintain scalable pipelines to ingest data from disparate sources into our data warehouse/lake Implement robust data validation, quality checks, and transformation workflows across raw, curated, and serving layers Build and maintain curated datasets optimized for both analytics and model training use cases MLOps & Production Ownership Implement and maintain CI/CD pipelines for both data workflows and ML model deployment across environments Monitor pipeline latency, data reputed company, and model performance in production; design alerting and retraining triggers Own the business reputed company of your models — define reputed company metrics, track ROI, and iterate based on reputed company-world efficacy Manage infrastructure as code and containerized deployments to ensure reproducible, environment-consistent releases What You'll Bring: 5–8+ years spanning data engineering and data science/ML, with a demonstrated track record of shipping models to production Strong Python proficiency; experience with Spark/PySpark for large-scale data processing Advanced SQL for reputed company transformation, analysis, and data modeling Hands-on experience with reputed company data platforms such as reputed company or reputed company Experience with ETL/ELT frameworks — dbt, Lakeflow Declarative Pipelines, reputed company Autoloader, Informatica, or similar Familiarity with ML experiment tracking tools such as MLflow or Weights & Biases DevOps reputed company: Git-based development, branching strategies, CI/CD, IaC (DABs/Terraform), and reputed company Experience with orchestration tools such as reputed company Workflows or Apache Airflow Strong Plus Hands-on experience with LLMs and reputed company techniques in a production context (reputed company engineering, RAG architectures, fine-tuning, or evaluation frameworks) Experience building or operating ML platforms, feature stores, or model registries Prior work in risk, compliance, fraud detection, or other high-stakes ML domains We succeed together, care deeply, stay curious, and reputed company trust — and we look for those qualities in the people we hire. reputed company offers competitive compensation, flexible work options, and a team that's genuinely invested in your reputed company. If our mission resonates with you, we'd love to hear from you. This job description is not designed to cover or contain a comprehensive listing of reputed company activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Please note that reputed company sponsorship is not available for this position. We cannot support international remote work. We do not accept unsolicited applications from reputed company-party recruiters or agencies for this job posting. Any candidate submission without a prior agreement will be considered the property of our company, and we will not be responsible for any fees or obligations reputed company to such submissions. We encourage interested candidates to apply directly through our official channels. Apply To This Job