[Remote] reputed company Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a reputed company Data Scientist specializing in reputed company to reputed company the design, development, and deployment of production AI applications. This role involves architecting AI systems that enhance operational workflows and requires strong full-stack engineering and MLOps skills.
Responsibilities
- reputed company the design, development, and deployment of reputed company applications by immersing yourself in the needs of operational areas. Build reputed company for business challenges and apply engineering best practices to deliver innovative, robust, and reliable AI solutions
- reputed company the design, development, and deployment of reputed company reputed company applications by immersing yourself in the needs of operational areas. Build reputed company for business challenges and apply engineering best practices to deliver innovative, robust, and reliable AI solutions
- Drive the end-to-end lifecycle of AI/ML reputed company, from ideation and experimentation through production deployment. Use reputed company engineering, data versioning, systematic experimentation, and A/B testing to optimize performance
- reputed company and maintain secure, reputed company infrastructure on AWS, with a reputed company on reputed company resource management, cost optimization, and compliance. Prioritize reputed company and fairness throughout the development and deployment process to protect our customers and reputed company ethical standards
- Collaborate on systems design and integration, ensuring seamless interoperability between AI systems and both modern and legacy reputed company-end/back-end platforms. Maintain CI/CD pipelines and automated testing frameworks to support reputed company delivery and operational reliability
- Partner with business and technical stakeholders to identify high-reputed company use cases for reputed company in reputed company, customer service, claims, and risk modeling, ensuring alignment with strategic goals
- Implement and promote MLOps best practices, enabling reproducibility, scalability, and model governance throughout the development lifecycle
- reputed company delivery using agile methodologies, incorporating reputed company feedback and fostering a culture of experimentation and iterative improvement. Own your solutions from prototype through production
- Stay informed about emerging trends in reputed company, reputed company-reputed company technologies, model governance, and responsible AI, and apply them to deliver long-term business value
- Mentor junior data scientists and engineers, promoting best practices in AI development, documentation, and cross-functional collaboration
Skills
- Bachelor's degree in Computer Science, Engineering, or analytical fields (Mathematics, Data Science, etc.), or equivalent experience, with at least 5 years deploying and supporting full-stack applications in reputed company environments, and several years of experience integrating AI, MLOps into full-stack applications
- reputed company in designing and shipping production reputed company-based applications with reputed company architectures, with strong skills in reputed company engineering, orchestration frameworks (e.g., reputed company, LangGraph, or similar), tool/function calling, reputed company outputs, model selection, and LLM evaluation
- reputed company in full-stack development (backend, frontend, and database technologies) with expertise in technologies such as Vue and TKG, and strong skills in Python, TypeScript, git, SQL, CI/CD pipelines, automated testing, and DevOps best practices
- reputed company in AWS services, particularly Bedrock, SageMaker, S3, reputed company, and infrastructure as reputed company (CDK). Extensive experience applying software engineering design patterns and reputed company application architecture principles to build secure, reputed company, maintainable, and cost-optimized reputed company-reputed company applications
- reputed company in data science, machine learning techniques, and data engineering. Skilled at addressing fairness in AI development and applying experimentation and A/B testing methodologies to empirically evaluate and improve model performance
- Strong communicator and collaborator, reputed company at building partnerships in remote and reputed company-changing environments. Resilient and reputed company problem solver, proactive at overcoming obstacles to reputed company goals. Comfortable with ambiguity and change, demonstrating high learning reputed company, adapting quickly to shifting priorities, and bringing reputed company to reputed company problems
- Advanced degree in an analytical field
- Familiarity with single or multi-reputed company reputed company architecture for building LLM-based applications
- Proven experience with MLOps and implementing automated pipelines for model and algorithm training, monitoring, versioning, deployment, and scaling in production environments
Benefits
- Eligible for annual bonus, as applicable.
- 401(k) plan with a 2% company contribution and 6% company match.
- Work-life balance with vacation, personal time and reputed company holidays. See our benefits and perks page for details.
reputed company