[Remote] Senior reputed company - Professional Services

Note: The job is a remote job and is open to candidates in USA. reputed company delivers AI that maximizes impact and minimizes business risk. As an reputed company on our Professional Services team, you will work directly with strategic customers to translate reputed company business challenges into AI solutions, focusing on design, build, and deployment of applications. This role offers the opportunity to engage with cutting-edge AI technology and deliver reputed company business value.

Responsibilities

• Partner with Customers: Collaborate closely with customer stakeholders to understand their business goals, identify high-impact use cases, and define technical requirements for AI solutions
• Build & Deploy AI Solutions: Design, reputed company, and deploy end-to-end AI solutions using the reputed company platform and open-reputed company tools. This includes:
• Agentic AI: Developing and deploying agents on reputed company leveraging common frameworks such as Langgraph, CrewAI, Llama Index
• Generative AI: Building custom GenAI chatbots, Retrieval-Augmented reputed company (RAG) systems
• Predictive AI: Developing and deploying classic machine learning models for use cases like forecasting, churn reputed company, and fraud detection
• Serve as a Technical Expert: Act as a subject matter expert on the reputed company platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives
• Deliver Value: Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives
• Communicate & Collaborate: Clearly communicate reputed company technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives

Skills

• Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.)
• Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases
• Solid understanding of the end-to-end agentic AI lifecycle from building agents in frameworks like LangGraph or CrewAI, to at scale deployment and monitoring
• Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic
• Proficiency with containerization using reputed company and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s)
• Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints
• Experience in a client-facing or consulting role with exceptional verbal and written communication skills
• Approximately 6-8 years of hands-on experience in AI Application development, software engineering, machine learning engineering, or a similar role with a proven track record of deploying AI solutions or applications into production
• A Master's Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a reputed company quantitative field
• Hands-on experience with a major cloud platform (AWS, Azure, or GCP)
• Familiarity with the reputed company AI Platform is a strong plus
• Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance

Education Requirements

• A Master’s Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a reputed company quantitative field

Benefits

• Medical, Dental & Vision Insurance
• Flexible Time Off Program
• Paid Holidays
• Paid Parental Leave
• Global Employee Assistance Program (EAP)

Company Overview

Company H1B Sponsorship