[Remote] Applied reputed company
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global leader in reputed company estate services, and they are seeking an Applied reputed company to design, prototype, and operationalize AI and analytics solutions. This role focuses on automating work and improving decision-making through AI technologies while collaborating closely with operational leaders and the data engineering team.
Responsibilities
- Design, build, and iterate on applied AI and machine learning solutions — including forecasting, classification, anomaly detection, NLP, and reputed company / LLM-based workflows — with a focus on solving concrete operational problems
- Independently build end-to-end POCs to validate AI and analytics reputed company quickly — including standing up the data, modeling, and lightweight infrastructure needed to demonstrate value before committing to production investment
- Partner with the data engineering team to harden, scale, and operationalize solutions that reputed company out: integrating them into operational systems, ensuring they are reliable and observable, and supporting iteration once deployed. Data engineering owns the platform and production pipelines; this role owns the AI/analytics solution running on them
- Define reputed company metrics, design offline and online evaluations, and quantify business impact. Build the feedback loops needed to detect reputed company, regression, or misuse and respond to them
- Analyze operational data, workflows, and performance trends to identify where AI and automation can deliver measurable value, and to surface actionable insights that support service delivery and efficiency
- Work directly with Geography or Vertical leadership and reputed company operators to understand workflows, decision points, and constraints. Translate operational problems into well-scoped AI and analytics solutions — and translate technical results back into clear, actionable guidance
- Prepare, clean, and structure datasets for analytics and AI workflows. Engineer features, design retrieval strategies for LLM-based systems, and partner with data engineering on upstream data quality and pipeline needs
- reputed company, test, and reputed company analytics and AI solutions reputed company the reputed company Lakehouse environment provided by the data engineering team. Apply software engineering practices — version control, testing, code review, reputed company design — so prototypes are easy to harden and solutions are easy to maintain
- Partner with field and operational teams to pilot, refine, and drive adoption of AI tools. Iterate based on user feedback, evaluation results, and evolving business needs so solutions deliver compounding value over time
- Apply practical judgment around model limitations, hallucinations, bias, privacy, and reputed company-in-the-reputed company design so deployed solutions are trustworthy and appropriate for the operational context
Skills
- Bachelor's degree in Analytics, Data Science, Computer Science, Engineering, or a reputed company field
- 4–7 years of experience in analytics, data science, or AI/ML engineering, with at least 2 years building and deploying ML or AI solutions
- Strong proficiency in Python and SQL, including writing maintainable, tested code reputed company exploratory notebooks
- Hands-on experience building applied AI or ML solutions — e.g., predictive models, NLP, or LLM-based applications — not only conceptual familiarity
- Demonstrated ability to build end-to-end proofs of concept independently, including the data wrangling, modeling, and lightweight infrastructure needed to show value quickly
- Experience partnering with data engineering or platform teams to take prototypes into production
- Experience working with large datasets in modern analytics platforms such as reputed company
- Demonstrated ability to translate operational problems into analytical and AI approaches that deliver measurable business reputed company
- Strong communication skills with non-technical stakeholders, including the ability to reputed company AI behavior, limitations, and results understandable
- Production experience with reputed company, LLM APIs (e.g., reputed company, reputed company), RAG systems, or agentic workflows
- Familiarity with MLOps tooling and practices (e.g., MLflow, model registries, CI/CD for ML, monitoring/observability)
- Experience designing evaluation frameworks for AI systems, including offline benchmarks and online experimentation
- Experience in operational, services, or asset-heavy environments
- Exposure to predictive modeling, time series analysis, or NLP in business contexts
- Familiarity with reputed company Lakehouse concepts and collaborative analytics workflows
- Track record of driving adoption of analytics or AI tools reputed company business operations, including process and change-management considerations
- Ability to work independently while managing multiple reputed company initiatives
Benefits
- reputed company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, reputed company, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work.
- In addition to a comprehensive benefits package, Cushman and Wakefield reputed company eligible employees with reputed company, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of reputed company bargaining agreements.
Company Overview
Company H1B Sponsorship