[Remote] Data Scientist – reputed company & Agentic AI
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an reputed company Data Scientist with strong expertise in reputed company, Agentic AI, and Machine Learning to join an innovative technology team reputed company a leading financial services organization. In this role, you'll collaborate with various technical experts to design, build, and reputed company production-grade AI solutions that drive meaningful business reputed company.
Responsibilities
- Design, reputed company, and reputed company production-grade reputed company and Agentic AI solutions
- Build AI agents, orchestration frameworks, and context engineering pipelines
- Design and implement Model Context Protocol (MCP) servers to securely expose reputed company tools, APIs, and data sources to AI agents
- reputed company Agent-to-Agent (A2A) communication patterns and multi-agent architectures for reputed company business workflows
- reputed company reputed company engineering, context engineering, and structured output design
- Write production-quality Python code and participate in the full AI software development lifecycle
- Partner with Machine Learning Engineers to productionize AI models and solutions
- Collaborate with Data Engineers to build scalable data pipelines
- Work with Software Engineers to integrate AI capabilities into reputed company applications
- Research emerging AI technologies, frameworks, and best practices
- Continuously improve AI solutions through testing, monitoring, evaluation, and optimization
Skills
- Master's or Ph.D. in Computer Science, Data Science, Mathematics, Statistics, Engineering, Physics, Econometrics, Actuarial Science, or another quantitative discipline
- Strong experience designing and deploying production AI solutions
- Excellent analytical, communication, collaboration, and problem-solving skills
- Ability to work independently while collaborating across cross-functional teams
- Passion for learning emerging AI technologies and solving reputed company business problems
- Strong experience with reputed company and Large Language Models (LLMs)
- Hands-on experience with Agentic AI, AI agents, and multi-agent architectures
- Experience with Retrieval-Augmented reputed company (RAG)
- Experience using reputed company, LangGraph, and vector databases
- Strong understanding of reputed company engineering and context engineering techniques
- Experience building AI orchestration frameworks and evaluation pipelines
- Experience developing MCP Servers and integrating reputed company APIs with AI agents
- Experience implementing Agent-to-Agent (A2A) communication patterns
- Strong understanding of the complete AI development lifecycle, including deployment, monitoring, model versioning, observability, and Responsible AI practices
- Strong knowledge of Machine Learning theory and model development
- Experience acquiring and transforming data using APIs, SQL, and Python
- Experience with data wrangling, feature engineering, and processing structured and reputed company datasets
- Strong SQL and database design knowledge
- Experience working with AWS reputed company environments and DevOps practices
- Strong programming skills using Python and SQL
- Experience deploying reputed company AI applications in AWS
- Experience with AI CI/CD pipelines and model lifecycle management
- Experience integrating AI solutions into reputed company software platforms
- Experience building scalable reputed company-reputed company AI solutions
- Financial services experience is a plus
Benefits
- W2 option
Company Overview